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ActivInsights, a global leader in digital health and human measurement technologies, is proud to announce the opening of its first U.S. office, in Texas.

This expansion marks a significant milestone in the company’s ongoing growth and reaffirms its long-term commitment to serving pharmaceutical, public health, and clinical research partners across the United States.

With over 15 years of innovation delivering digital biomarkers, endpoints and objective outcome assessments from wearable technologies, ActivInsights has become a trusted partner in more than 40 countries. The new U.S. presence signals more than geographic expansion—it represents a strategic investment in deepening client relationships and accelerating project timelines.

“This is big for us—and for the industry,” said Richard Thomas, CEO of ActivInsights. “Texas is the ideal place to plant our flag: strong healthcare infrastructure, central access, and a thriving innovation ecosystem. We’re not here to test the waters—we’re putting down roots to cement our existing base and stay within easy reach of our customers. We’re here to compete, lead, and stay. The U.S. is a key part of our future.”

Why Texas, Why Now?

ActivInsights’ new Texas base strengthens its ability to provide local expertise, faster deployment, and on-the-ground support for U.S. clinical trials and research initiatives. The move also positions the company closer to many of its academic and commercial collaborators, enabling more seamless partnerships and real-time responsiveness.

As a proud member of the global academic research community, ActivInsights is committed to open science—developing and validating algorithms for assessing sleep, physical behaviour, and lifestyle using raw accelerometer data. Establishing a U.S. office brings the company even closer to the frontlines of clinical innovation and public health research.

What Sets ActivInsights Apart?

• Unrivalled Experience – Over 15 years of pioneering digital measures and wearables, validated in real-world and clinical settings, ActivInsights stands toe-to-toe with industry leaders.
• Expertise Where It Counts – With human measurement at our core, we empower data-rich insights that improve outcomes and transform patient lives.
• Global Reach, Local Touch – Already serving 40+ countries, the U.S. office reflects our ongoing commitment to our American clients.
• Resilient and Competitive – Despite tariffs and trade pressures, we’ve maintained pricing with no compromise to U.S. customers—our presence here only strengthens that commitment
• True End-to-End Support – Our new U.S. base enables faster deployments, local customer support, and seamless integration with hybrid, decentralised, and traditional trials.

“This expansion is not just timely—it’s essential,” added Richard Thomas, CEO. “With a growing demand for precision, reliability, and scale in digital health, we’re stepping forward boldly to ensure our U.S. partners get the best of our science, service, and support.”

A Legacy of Innovation

• World’s first raw-data wrist-wearable, launched over 15 years ago
• Used in 200+ clinical trials and 1,500+ scientific publications
• Deep expertise in measuring human behaviour, sleep, and motor symptoms like tremors
• Delivering own research programs from UK-based device manufacturing
• ISO27001-certified systems with rigorous data privacy and security standards

From tracking sleep and daily activity to capturing subtle motor symptoms, ActivInsights transforms sensor data into validated, actionable digital measures—ready for clinical use and real-world impact.

“Our presence in the U.S. is about more than bricks and mortar,” said Richard Thomas, CEO. “It’s about reaffirming our commitment to the partners we serve. We’re enabling the future of clinical research—one that’s data-rich, patient-friendly, and scientifically rigorous.”

Our US Office

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Women face barriers to healthcare access across the globe, and alarmingly, the WHO estimate that one preventable newborn or maternal death occurs every seven seconds. A global effort to prioritise the protection of women’s long-term health and well-being is fundamental for ending these preventable deaths. Healthcare systems globally need to evolve rapidly to remove barriers to healthcare access for women and newborns.

Digital Wearables in Health Monitoring

Wearable digital technologies allow the measurement of 24-hour physical behaviours, which are key indicators of overall health and well-being. High-resolution wearable accelerometry from ActivInsights offers a convenient and reliable approach for capturing 24-hour physical activity and sleep patterns of women and infants in their natural environment.

Accelerometer-based objective measurements of daily activity and sleep patterns in women and infants correlate with important health outcomes.

Physical Activity and Pregnancy Outcomes

Physical activity is a key contributor to obesity risk and BMI. Studies show that accelerometer-measured maternal physical activity levels significantly impact delivery outcomes. Less active mothers are more likely to require instrumental assisted deliveries or emergency caesareans than their more active counterparts (Morgan 2014).

Maternal BMI is predictive of perinatal outcomes such as the need for induced birth or extended hospital stays post-birth (Morgan 2014). Physical activity and weight gain are modifiable health factors that can be altered through lifestyle changes before or during pregnancy. Wearable accelerometry is a convenient solution for monitoring these daily lifestyle factors that significantly impact both maternal and newborn health, offering opportunities for early, appropriate, and targeted interventions.

Infant Development and Sleep Patterns

Sleep disturbances during pregnancy, which can occur from 10-12 weeks’ gestation (Okun 2013), are associated with complications including preterm delivery, gestational hypertension and heightened risk of caesarean delivery (Palagini 2014), posing risks for both the mother and infants long-term health.

Infant sleeping patterns are also associated with health outcomes. Research shows infant sleep-wake cycles synchronise with gut microbiota development (Mühlematter 2025). Infants with regular eating schedules demonstrate regular sleeping patterns (Mühlematter 2023). Structuring infant feeding times could be a viable and widely applicable approach to improve infant sleep quality and overall health.

Transforming Healthcare for Women and Infants

Research involving 2,082 pregnant women showed that three days of accelerometery reliably measures physical activity levels in pregnant women (da Silva 2019). GENEActiv accelerometers scored 95% for accuracy in detecting infant posture and measuring physical activity (Hewitt 2019).

From a public health perspective, clinicians widely trust these technologies for providing high-quality objective measurements of physical behaviours. Their ease of use offers a low burden for patients and clinicians alike, making them suitable for long-term monitoring in a wide range of patient groups.

References

Rhythms of Early Life: Gut Microbiota Rhythmicity and Circadian Maturation in Infants (biorxiv.org)

Prevalence of Sleep Deficiency in Early Gestation and its Associations with Stress and Depressive Symptoms – PMC (nih.gov)

Chronic sleep loss during pregnancy as a determinant of stress: impact on pregnancy outcome – PubMed (nih.gov)

Not simply a matter of parents—Infants’ sleep-wake patterns are associated with their regularity of eating | PLOS One

How many days are needed to estimate wrist-worn accelerometry-assessed physical activity during the second trimester of pregnancy? (plos.org)

Physical Activity and Excess Weight in Pregnancy Have Independent and Unique Effects on Delivery and Perinatal Outcomes – PMC (nih.gov)

Objective measurement of tummy time in infants (0-6 months): A validation study – PMC (nih.gov)

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High-resolution accelerometery from ActivInsights eases the burden of traditional sleep actigraphy for patients and clinicians, improving patient quality of life and reducing healthcare costs.

Traditional actigraphy devices required patients to keep daily sleep diaries or sleep clinicians to manually score sleep data to calculate sleep measures. New sensors in professional wearables combined with intelligent data analytics allows the determination of bed and rise times to be fully automated. Effective capture of sleep data outside of a sleep clinic simplifies access to real-world patient sleep data, cutting the time to treatment.

Measuring sleep behaviour using digital technologies

Wearable digital technologies allow us to measure sleep more comfortably, repeatably and continuously without the need for clinical input every night. The digital measures of sleep from professional wearables have been verified and validated in many peer-reviewed publications and clinical trials. Regulators and payers routinely accept them as evidence of safety and performance.

When assessing sleep health, sleep researchers and clinicians focus on key dimensions of sleep. Some of these are measured objectively (timing, duration, efficiency & regularity) and some (alertness & quality) represent how we feel about our sleep subjectively.

Objective measurement of sleep timing, duration, efficiency & regularity is underpinned by simple foundational measures:

• Going to bed time (Rest Start Time)
• Getting up time (Rest End Time)
• The period between those times (Rest Interval)
• The periods of sleep (Sleep Bouts)

Digital Measures of Sleep

The sensor-level, high-resolution raw sleep data captured using professional wrist-worn accelerometers can be processed using open algorithms at any point after data collection, making it future-proof for longitudinal analyses further down the line.

Automatic sleep scoring algorithms have been developed and validated by sleep researchers, having built-in automatic sleep period detection expertise that sleep clinicians can trust.

Removing the burden of manual sleep scoring, and subjective reporting on sleep clinicians and patients facilitates a more patient-centric approach, encouraging better adherence to wearable-derived sleep data capturing in the real-world. The higher-quality and comprehensive data outputs enable clinicians to maximize the application of their expertise in analysing wakefulness and activity during sleep, to complement their assessment of sleep health on a patient-by-patient basis.

The impact of sleep on health outcomes

Good quality sleep, along with healthy diet and exercise, is a pillar of health that is foundational to our wellbeing, helping our body to restore its energy and recover from stress.

Below are examples of the interactions between accelerometer-based measures of sleep and health outcomes:

Cardiovascular Health

Longer Sleep Duration and reduced Wake After Sleep Onset have been associated with reduced risk of cardiovascular disease, coronary heart disease, and stroke among 385 292 participants from the UK Biobank (Fan 2019).

 Risk of Comorbidities & Long-term Conditions

The Whitehall II cohort study, which evaluated the Sleep Duration data of 7000+ adults captured over 25 years (age 50-75), reported a robust association between Sleep Duration of less than 5 hours per night and onset of a chronic disease, with subsequent risk of multimorbidity – longer Sleep Duration (over 9 hours per night) had no association with chronic disease (Sabia 2022).

Alertness & Decision Making

Inadequate Sleep Efficiency and consistently short Sleep Duration cause reduced alertness during the daytime, slower reaction times and an impaired ability to make sound decisions – critical factors impacting daily productivity and wellbeing.

In a study evaluating the effect of sleep on decision-making, accelerometer assessed Total Sleep Duration, Wake After Sleep Onset and Sleep Efficiency showed associations with impulsiveness and risk-taking depending on habitual decision-making responses – with individuals who had longer Sleep Durations being less likely to take unnecessary risks (Salfi 2020).

Metabolic Health

The Diabetes Remission Clinical Trial (DiRECT) explored associations between weight loss and accelerometer measured physical activity, inactivity and sleep. Decreased Wake After Sleep Onset and improved subjective sleep quality improved energy and activity levels during the day, leading to sustainable weight loss and improved chances of achieving remission of type 2 diabetes (Cassidy 2022).

 Mood & Cognitive Performance

A study investigating the interactions between subjective and objective measures of sleep, cognitive functioning, and mood outcomes in a healthy population reported that individual emotional well-being and anxiety levels strongly influence subjective perception of sleep quality – with good mental well-being being linked to better sleep (Windmill 2024).

Cognitive Impairment: Dementia & Alzheimer’s Disease

A cross-sectional study found that longer accelerometer-measured Sleep Duration and more consistent Sleep Efficiency may protect against β-amyloid Alzheimer’s disease pathology (Fenton 2023).

The future of sleep medicine & research with wearable technology

As we look towards the future of sleep medicine and research, high-resolution professional wearable accelerometery will change the way we identify, understand and treat sleep disorders.

Complementing clinician assessment with modern automatic sleep scoring technologies provides a more complete picture of individual sleep behaviours, supporting faster identification and treatment of sleep disorders for better patient health outcomes.

References

Fan 2019

Sleep patterns, genetic susceptibility, and incident cardiovascular disease: a prospective study of 385 292 UK biobank participants, European Heart Journal, 41(11), pp. 1182-1189. https://doi.org/10.1093/eurheartj/ehz849

Sabia 2022

Association of sleep duration at age 50, 60, and 70 years with risk of multimorbidity in the UK: 25-year follow-up of the Whitehall II cohort study, PLOS Medicine, 19(10), e1004109. https://doi.org/10.1371/journal.pmed.1004109

Salfi 2020

Effects of Total and Partial Sleep Deprivation on Reflection Impulsivity and Risk-Taking in Deliberative Decision-Making, Nature and Science of Sleep, 12, pp. 309-324. https://doi.org/10.2147/NSS.S250586

Cassidy 2022

Physical activity, inactivity and sleep during the Diabetes Remission Clinical Trial (DiRECT), Diabetic Medicine, 39(11), e15010. https://doi.org/10.1111/dme.15010

Windmill 2024

Characterising the inconsistency between perceived and actual sleep and its impact upon cognition and mood, Scientific Reports, 14, 29342. https://doi.org/10.1038/s41598-024-59891-9

Fenton 2023

Variability in objective sleep is associated with Alzheimer’s pathology and cognition, Brain Communications, 5(2), fcad031. https://doi.org/10.1093/braincomms/fcad031

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ActivInsights is excited to attend the 7th Annual Digital Implementation Summit hosted by Pfizer in Boston. This prestigious event will focus on the value proposition of digital tools across the clinical research ecosystem, including payers, healthcare providers (HCPs), clinical sites, and regulators. With our extensive expertise in the operationalisation of digital measurement tools, we are thrilled to contribute to the discussions.

At ActivInsights, we have played a pivotal role in advancing digital tools for clinical trials. Our technologies have been deployed to over 500,000 participants worldwide, spanning more than 200 clinical trials. A prime example of our work is the Safeheart project, where we successfully implemented remote monitoring technologies in decentralised clinical trials. You can read more about this project here.

The summit’s central theme, From Clinical Trials to Clinical Use: Digital Measures in Clinical Research, aligns closely with our mission to transform how clinical research is conducted and how digital tools can enhance both trial outcomes and patient experiences. Learn more about the event here.

Key Insights from Our CTO and Co-Founder, Joss Langford

Our Chief Technology Officer, Joss Langford, will be sharing his expertise during the event with a presentation on Digital Measure Development, Adoption, and Operationalisation. Joss will delve into the critical factors involved in selecting and implementing the right digital measures tailored to specific populations and research objectives.

Drawing from ActivInsights’ extensive experience, particularly in multi-country studies where we have acted as Principal Investigator, Joss will also share invaluable operational learnings. One of the key themes he will explore is minimising site burden from a device perspective, an essential consideration for ensuring smooth trial execution and participant engagement.

In addition, attendees will get a sneak peek into what’s coming from ActivInsights in 2025, as we continue to innovate and expand our digital measurement solutions to better support the clinical trials sector.

The Three Levels of Digital Measures

At ActivInsights, we recognise that digital measures can serve as clinical outcome measures, biomarkers, or even tools to explore mechanisms of action in clinical trials. The key advantage of digital measures is their objective nature, offering precise data compared to the more subjective traditional measures.

We classify digital measures into three distinct levels of application:

1. Fine Motor & Movement Characteristics

Example: Nocturnal scratch detection

These measures focus on detecting specific behaviours or movements that may be subtle but highly indicative of a clinical condition.

2. Activities of Daily Living & Performance

Example: Fast stepping or frailty

These measures capture day-to-day activities and functional performance, providing insight into a patient’s overall health and well-being.

3. Patterns of Behaviour

Example: Heart failure

These measures track patterns and changes in behaviour over time, helping to monitor disease progression or response to treatment.

Why Digital Measures Matter in Clinical Research

The ability to capture real-time, objective data from patients, anywhere in the world, is transforming clinical research. Digital measures not only provide critical insights into patient health and treatment efficacy, but they also reduce reliance on subjective reporting, increasing the robustness and reliability of clinical outcomes.

We look forward to contributing to the conversations at the summit and furthering the adoption of digital measures in clinical trials. Stay tuned for more updates from ActivInsights as we continue to lead the way in digital health innovation.

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Through collective insights from us and our industry colleagues, DATAcc has crafted a framework: Core Digital Measures of Sleep. This framework, alongside accompanying resources, aims to bolster the adoption of human-centric digital measures across the field.

Sleep plays a crucial role in various aspects of health and is linked to numerous conditions. Better sleep generally indicates better health, while disrupted sleep can indicate or cause chronic conditions. Measuring sleep disturbance facilitates the development of improved interventions and treatment options.

Challenging Contemporary Sleep Research Measurement Methods

The current landscape of sleep measurement in research and clinical care is being challenged by new methods. These digital approaches are less cumbersome and intrusive and give access to new insights in the natural sleep environment over long periods without compromising measurement accuracy.

Home-based sleep monitoring, exemplified by technologies like the GENEActiv wearable, heralds a transformative shift.  Wearable technology not only minimises patient burden but also allows participants to be evaluated in their environment, devoid of additional stressors. Moreover, they enable long-term evaluation and yield more comprehensive real world data, laying the groundwork for personalised interventions tailored to individual needs and fostering a more holistic understanding of sleep patterns.

At the heart of this evolution lies the establishment of a set of core digital measures, essential for ensuring the validity and consistency of data collection. In this endeavour, DATAcc, hosted by DiMe, are spearheading improved methodologies and facilitating the seamless remote collection of sleep data—all from the comfort and familiarity of a patient’s own home and bed.

Importance of Sleep Digital Measures

Activinsights has a diverse catalogue of over 150 digital measures at our disposal of which sleep digital measures are a significant part and can greatly enhance the depth of insight into any study. Digital measures of sleep form the foundational elements for potential clinical trial endpoints and significant digital health biomarkers

DiMe defines the Core Digital Measures of Sleep framework as standardised benchmarks with mature measurement solutions used across the industry to measure sleep, making it easier to compare data. This standardisation not only enhances efficiency but also amplifies the efficacy of digital clinical measures. With this optimised set of core digital clinical measures in sleep, health professionals can increase the availability of high-quality, standardised, and transparent sleep research in the naturalistic environment across therapeutic areas. This transformation holds the promise of advancing population health and addressing myriad diseases.

Employing the core set of sleep measures will not only bolster transparency in research methodologies but also support consistency across projects– reducing risk, accelerating projects, and helping communication with regulators.

Why are we supporting DiMe’s initiative?

We are backing DiMe’s DATAcc initiative for several compelling reasons that resonate deeply with our mission and expertise.

Drawing on our extensive experience in the sleep research domain, we recognise the paramount importance of standardisation. DiMe’s efforts align with our advocacy for industry-wide standardisation. This initiative represents a significant step towards establishing uniformity in sleep research methodologies—a cause we’ve championed for years.

One of the ways we have been aiming for standardisation is by designing our wearable, the GENEActiv, to output unfiltered, sensor-level data to enable seamless transitions from traditional actigraphy devices, to our modern technologies. The integration of historical data prevents data loss and prioritises the continuation of long-term studies. Our commitment to inter-device compatibility is inspired by our advocacy for establishing greater uniformity in all research methodologies including sleep.

Furthermore, DiMe’s initiative serves as a vital resource for researchers bringing real world sleep measures into their studies for the first time. It provides a foundational framework, offering a clear starting point for those navigating the complexities of sleep measurement. For seasoned researchers, these guidelines formalise and streamline practices that they may have informally adopted, potentially requiring only minor adjustments for alignment.

In essence, our support for DiMe’s initiative reflects our commitment to advancing the field of sleep research through standardisation, compatibility, and accessibility, ultimately fostering innovation and progress in understanding sleep and its implications for health and well-being.

Validation

We are proud to affirm that our technologies stand on a solid foundation, with over 1100 publications attesting to their widespread use, efficacy and reliability. Moreover, they have been deployed in over 200 clinical trials, further cementing their reputation as a trusted tool. The performance of our technologies continues to be assessed according to the best-in-class criteria established in the V3 framework.

Verification

The GENEActiv records unfiltered, sensor-level acceleration as well as light and temperature in SI units. The engineering validation is supported by internal infrastructure, processes and documentation managed under ISO13485 and ISO27001. The quality of the raw data collected underpins all our work and is recognised by external verification of measurement consistency (Esliger 2011, Ladha 2013), acceleration processing (van Hees 2013), sleep measurement (te Lindert 2013), sleep cycle determination (van Hees 2015) and assessment of activities of daily living (Rowlands 2014, Burton 2018).

Helpful Resources

Let us help guide you along your Sleep Digital Measure journey. Below are some useful resources:

• Our Digital Measures Catalogue
• GENEActiv; wearable used in 60 + sleep publications and clinical trials
• DATAcc by DiMe, Core Digital Measures of Sleep
• The V3 Framework – DATAcc by DiMe (dimesociety.org)

References

1. Jääkallio, P., Kuula, L., & Pesonen, A.-K. (2024). Temporal pathways between circadian rhythm, depression, and anxiety in the transition from adolescence to early adulthood. Journal of Affective Disorders, 350, 656-664. DOI: 10.1016/j.jad.2024.01.023
2. Jenkins, C. A., Tiley, L. C. F., Lay, I., Hartmann, J. A., Chan, J. K. M., & Nicholas, C. L. (2022). Comparing GENEActiv against Actiwatch-2 over Seven Nights Using a Common Sleep Scoring Algorithm and Device-Specific Wake Thresholds. Behavioral Sleep Medicine, 20(4), 369-379. DOI 10.1080/15402002.2021.1924175
3. Sim, J. E., Leota, J., Mascaro, L., Hoffman, D., & Facer-Childs, E. R. (2024). Sleep patterns before and after competition: A real-world examination of elite athletes. Journal of Sports Sciences, 42(12), 2014-2026. DOI: 10.1080/02640414.2024.2308960
4. te Lindert, B. H. W., & Van Someren, E. J. W. (2013). Sleep estimates using microelectromechanical systems (MEMS). Sleep, 36(5), 781-9. DOI:10.5665/sleep.2648
5. Lindert BHW, Blanken TF, van der Meijden WP, et al. Actigraphic multi‐night home‐recorded sleep estimates reveal three types of sleep misperception in Insomnia Disorder and good sleepers. J Sleep Res. 2020;29: e12937. DOI: https://doi.org/10.1111/jsr.12937
6. Antczak, D., Lonsdale, C., del Pozo Cruz, B., Parker, P., & Sanders, T. (2021). Reliability of GENEActiv accelerometers to estimate sleep, physical activity, and sedentary time in children. International Journal of Behavioral Nutrition and Physical Activity, 18, Article 73. DOI: https://doi.org/10.1186/s12966-021-01141-2
7. Plekhanova, T., Rowlands, A. V., Evans, R. A., Edwardson, C. L., Bishop, N. C., Bolton, C. E., … & Lone, N. I. (2022). Device-assessed sleep and physical activity in individuals recovering from a hospital admission for COVID-19: a multicentre study. International Journal of Behavioral Nutrition and Physical Activity, 19, Article 94. DOI: https://doi.org/10.1186/s12966-022-01333-w
8. Vázquez-Sánchez, María Ángeles; Corral Pérez, Juan; Naranjo Marquez, María; Ponce González, Jesús Gustavo; Casals, Cristina. (2022). Relationship of accelerometer-measured inactivity and sleep efficiency with body mass index in prefrail elders. https://hdl.handle.net/10630/25168
9. De Looze, C., Scarlett, S., Newman, L., & Kenny, R. A. (2022). Sleep duration and disturbance are associated with orthostatic heart rate recovery: Findings from the Irish Longitudinal Study on Ageing. Sleep Health: Journal of the National Sleep Foundation, 8(6), 654-662. DOI: https://doi.org/10.1016/j.sleh.2022.08.002
10. Glaus, J., Kang, S. J., Guo, W., Lamers, F., Strippoli, M.-P. F., Leroux, A., Dey, D., Plessen, K. J., Vaucher, J., Vollenweider, P., Zipunnikov, V., Merikangas, K. R., & Preisig, M. (2023). Objectively assessed sleep and physical activity in depression subtypes and its mediating role in their association with cardiovascular risk factors1. Journal of Psychiatric Research, 163, 325-336. DOI: https://doi.org/10.1016/j.jpsychires.2023.05.042
11. Jackson, C., Stewart, I. D., Plekhanova, T., Cunningham, P. S., Hazel, A. L., Al-Sheklly, B., … & Zongo, O. (2023). Effects of sleep disturbance on dyspnoea and impaired lung function following hospital admission due to COVID-19 in the UK: A prospective multicentre cohort study. The Lancet Respiratory Medicine, 11(8), 673-684. DOI: https://doi.org/10.1016/S2213-2600(23)00124-8
12. Edgley, K., Chun, H.-Y. Y., Whiteley, W. N., & Tsanas, A. (2023). New insights into stroke from continuous passively collected temperature and sleep data using wrist-worn wearables. Sensors, 23(3), 1069. DOI: https://doi.org/10.3390/s23031069
13. Kuang, B., Aarab, G., Wei, Y., Blanken, T. F., Lobbezoo, F., Van Someren, E. J. W., Ramautar, J. R., & Wassing, R. (2023). Associations between signs of sleep bruxism and insomnia: A polysomnographic study. Journal of Sleep Research, 32(4), e13827. DOI: https://doi.org/10.1111/jsr.13827cas
14. van Hees, V. T., Sabia, S., Anderson, K. N., Denton, S. J., Oliver, J., Catt, M., … & others. (2015). A Novel, Open Access Method to Assess Sleep Duration Using a Wrist-Worn Accelerometer. PLoS ONE, 10(11), e0142533. DOI: https://doi.org/10.1371/journal.pone.0142533
15. Nascimento-Ferreira, M. V., Collese, T. S., de Moraes, A. C. F., Rendo-Urteaga, T., Moreno, L. A., & Carvalho, H. B. (2016). Validity and reliability of sleep time questionnaires in children and adolescents: A systematic review and meta-analysis12. Sleep Medicine Reviews, 30, 85-96. DOI: https://doi.org/10.1016/j.smrv.2015.11.006
16. O’Donnell, J., Hollowell, S., Salimi-Khorshidi, G., Velardo, C., Sexton, C., Rahimi, K., Johansen-Berg, H., Tarassenko, L., & Doherty, A. (2017). Automated detection of sleep-boundary times using wrist-worn accelerometry. BioRxiv. DOI: https://doi.org/10.1101/225516
17. Sansom, K., Reynolds, A., McVeigh, J., Mazzotti, D. R., Dhaliwal, S. S., Maddison, K., Walsh, J., Singh, B., Eastwood, P., & McArdle, N. (2023). Estimating sleep duration: Performance of open-source processing of actigraphy compared to in-laboratory polysomnography in the community. SLEEP Advances, 4(1). DOI: https://doi.org/10.1093/sleepadvances/zpad028
18. Zijlmans, J. L., Riemens, M. S., Vernooij, M. W., Ikram, M. A., & Luik, A. I. (2023). Sleep, 24-Hour Activity Rhythms, and Cognitive Reserve: A Population-Based Study1. Journal of Alzheimer’s Disease, 91(2), 663-672. DOI: https://doi.org/10.3233/JAD-220714
19. Burton, E., Hill, K. D., Lautenschlager, N. T., Thøgersen-Ntoumani, C., Lewin, G., Boyle, E., & Howie, E. (2018). Reliability and validity of two fitness tracker devices in the laboratory and home environment for older community-dwelling people1. BMC Geriatrics, 18(103). DOI: https://doi.org/10.1186/s12877-018-0792-4
20. Cassidy, S., Trenell, M., Stefanetti, R. J., Charman, S. J., Barnes, A. C., Brosnahan, N., McCombie, L., Thom, G., Peters, C., Zhyzhneuskaya, S., Leslie, W. S., Catt, C., Catt, M., McConnachie, A., Sattar, N., Sniehotta, F. F., Lean, M. E.J., & Taylor, R. (2023). Physical activity, inactivity and sleep during the Diabetes Remission Clinical Trial (DiRECT). Diabetic Medicine, 40(3), e15010. DOI: 10.1111/dme.15010
21. Papandreou, C., Díaz-López, A., Babio, N., Martínez-González, M. A., Bulló, M., Corella, D., Fitó, M., Romaguera, D., Vioque, J., Alonso-Gómez, Á. M., Wärnberg, J., Martínez, A. J., Serra-Majem, L., Estruch, R., Fernández-García, J. C., Lapetra, J., Pintó, X., Tur, J. A., Garcia-Rios, A., & Bueno-Cavanillas, A. (2019). Long Daytime Napping Is Associated with Increased Adiposity and Type 2 Diabetes in an Elderly Population with Metabolic Syndrome. Journal of Clinical Medicine, 8(7). DOI: 10.3390/jcm8071053
22. Devenney, L. E., Coyle, K. B., Roth, T., & Verster, J. C. (2019). Sleep after Heavy Alcohol Consumption and Physical Activity Levels during Alcohol Hangover. Journal of Clinical Medicine, 8(5), 752. DOI: 10.3390/jcm8050752
23. Casals C, Ávila-Cabeza-de-Vaca L, González-Mariscal A, Marín-Galindo A, Costilla M, Ponce-Gonzalez J G, Vázquez-Sánchez M Á, Corral-Pérez J (2023) Effects of an educational intervention on frailty status, physical function, physical activity, sleep patterns, and nutritional status of older adults with frailty or pre-frailty: the FRAGSALUD study. Frontiers in Public Health. 11(1267666). DOI: 10.3389/fpubh.2023.1267666
24. Cheong, S.-M., & Gaynanova, I. (2024). Sensing the impact of extreme heat on physical activity and sleep. Digital Health, 20552076241241509. DOI: https://doi.org/10.1177/20552076241241509
25. Kolk, M. Z. H., Frodi, D. M., Langford, J., Meskers, C. J., Andersen, T. O., Jacobsen, P. K., Risum, N., Tan, H. L., Svendsen, J. H., & Knops, R. E. (2023). Behavioural digital biomarkers enable real-time monitoring of patient-reported outcomes: A substudy of the multicenter, prospective observational SafeHeart study. European Heart Journal – Quality of Care and Clinical Outcomes. Advance online publication. DOI: 10.1093/ehjqcco/qcad069
26. Rosique-Esteban, N., Papandreou, C., Romaguera, D., Warnberg, J., Corella, D., Martínez-González, M. Á., Díaz-López, A., Estruch, R., Vioque, J., & Arós, F. (2018). Cross-sectional associations of objectively measured sleep characteristics with obesity and type 2 diabetes in the PREDIMED-Plus trial. Sleep, 41(12). DOI: 10.1093/sleep/zsy190
27. Rowlands, A. V., Olds, T. S., Hillsdon, M., Pulsford, R., Hurst, T. L., Eston, R. G., Gomersall, S. R., Johnston, K., & Langford, J. (2014). Assessing sedentary behavior with the GENEActiv: introducing the sedentary sphere. Medicine & Science in Sports & Exercise, 46(6). DOI: 1235-1247.
28. Esliger, D. W., Rowlands, A. V., Hurst, T. L., Catt, M., Murray, P., & Eston, R. G. (2011). Validation of the GENEA Accelerometer. Medicine & Science in Sports & Exercise, 43(6). DOI: 1085-1093.
29. Ladha, C., Jackson, D., Ladha, K., Nappey, T., & Olivier, P. (2013). Shaker table validation of OpenMovement accelerometer. Ambul Monit Phys Act MovAt: Amherst MA. DOI: 10.13140/RG.2.2.31312.51208.
30. van Hees, V. T., Gorzelniak, L., Dean León, E. C., Eder, M., Pias, M., Taherian, S., … Brage, S. (2013). Separating Movement and Gravity Components in an Acceleration Signal and Implications for the Assessment of Human Daily Physical Activity. PLoS ONE, 8(4), e61691. DOI: 10.1371/journal.pone.0061691

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About the Digital Health Playbook:

Featuring a robust lineup of over 180 UK innovators and exporters, the Digital Health Playbook serves as the ultimate resource hub for healthtech innovation. This inclusive platform showcases specialists with vast expertise in delivering advanced patient care, insights and analysis, core infrastructure, and self-care solutions.

Rigorous Selection Process:

We underwent a meticulous selection process, our inclusion in the Playbook is a testament to our collaborative excellence within healthcare, our responsiveness, and our role in representing the UK’s journey in digital health, particularly within the NHS. The Playbook undergoes regular reviews to ensure its cutting-edge relevance.

Discover Activinsights:

Find us under “Driving insights and analysis” within the Playbook if you seek a partner proficient in delivering intelligence derived from healthcare data.

How Activinsights Stands Out:

As a distinguished digital health company, we specialise in objectively measuring physical behaviours and lifestyles. Our technologies, deployed worldwide in clinical trials, health management, and research markets, provide accurate and continuous monitoring of lifestyle beyond clinical settings. Key features include:

• Privacy-by-design data infrastructures
• Rigorous open protocols for secure and transparent management of sensitive behavioural information

Key Facts:

• GENEActiv: Lightweight, waterproof raw data accelerometer designed for public health research and clinical trials to medical-grade standards.
• Activinsights Band: Low-burden, continuous assessment tool with wireless data transfers for up to a year, utilised in over 800+ peer-reviewed publications worldwide.
• Successes in the UK/NHS: Deployed in the NHS, UK, and global academic public health research sectors, supporting researchers and healthcare practitioners with objective physical activity and sleep data.

Join our journey in shaping the future of digital health! Let’s collaborate on upcoming research or clinical trials—contact us today for impactful partnerships.

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The post Activinsights Joins Prestigious UK Digital Health Playbook appeared first on Activinsights.

Activinsights, a market leader in the remote monitoring of clinical trial participants, proudly announces its successful achievement of ISO 27001 certification, solidifying its dedication to ensuring the highest standards of information security and data protection.

ISO 27001 is an internationally recognised standard that establishes stringent requirements for the establishment, implementation, maintenance, and continuous improvement of an information security management system. Achieving this certification demonstrates Activinsights commitment to safeguarding sensitive medical data, ensuring it confidentiality, integrity, and availability, whilst mitigating risk.

Activinsights has undertaken an extensive audit process to validate its adherence to the ISO 27001 Standards. This accomplishment showcases the company’s proactive approach to mitigating security risks, bolstering client trust, and aligning with global best practices.

As digital health measurement experts, Activinsights handle, process, and report significant amounts of data that are used to enhance public health, advance pharmaceutical drug development, and manage diseases. The implementation of an ISO 27001 compliant Information Security Management System signifies their continuous assessment of risks linked to data in the contemporary world. This effort aims to provide clients, partners, and participants with the assurance that their data will remain secure, protected, and accessible whenever needed.

Obtaining the ISO 27001 is a remarkable achievement that underscores our dedication to ensuring the utmost security for our client’s valuable data” said Matt Jones, Quality Manager at Activinsights. “Our team has worked diligently to implement and maintain robust information security protocols, and this certification is a testament to their hard work and expertise.”

By achieving ISO 27001 certification, Activinsights confirms its position as a trusted partner for clients needing the highest levels of data security. This certification serves as an assurance that the company has put in place comprehensive measures to identify and mitigate potential security vulnerabilities, protect against data breaches, and maintain compliance with industry regulations.

Click here to view our certificate.

About Activinsights

Activinsights is a digital health company that specialises in the objective measurement of physical behaviours and lifestyle. Our technologies are used worldwide within the clinical trials, health management and research markets to provide accurate and continuous monitoring of lifestyle outside of the clinic environment. We develop novel health measures from data collected by our own professional wearables and other connected devices, such as phone apps, within a scalable global and secure infrastructure. Advanced data analytics reveal insights, novel endpoints and biomarkers that support pharmaceutical drug development, clinical practice, and disease management. Find out more at www.activinsights.com.

Get in touch to discuss your next research or clinical trial project!

The post Activinsights Attains Coveted ISO 27001 Certification appeared first on Activinsights.

Sleep researchers, clinicians and practitioners can now collect high resolution raw data from the GENEActiv and continue to use the Actiware software for analysis. Activinsights are releasing the capability to turn the GENEActiv .bin files into .AWD files. These .AWD files can then be entered into the existing Actiware software for users to continue to generate double plotted sleep graphs and manipulate data in the way they have always been used to.

The GENEActiv .bin file to .AWD files conversion is an instant solution for anyone interested in objective sleep measurement with actigraphy and beyond. Furthermore, the collection of high-resolution, raw data with the GENEActiv provides users with the additional benefit of future proofing the data set collected. This enables researchers to continue to apply novel analysis techniques to the unfiltered raw data in the future, removes any limitations against black-box algorithms and increases the value of the data collected for future research capabilities. The GENEActiv provides backward capability with Actiware and enables users to use any system going forward.

Please see our library of over 130 sleep publications.

Get in touch for a quote on our world-leading wearables for your upcoming sleep research!

The post Activinsights announce a solution for all Actiwatch users appeared first on Activinsights.

By Dr Raghbir Bains, Commercial Director

Thrilled to see Activinsights Ltd featured in the new Department for International Trade (DIT) #UKDigitalHealth Playbook – 2023 Edition.

Digital Health is rightly seen as the answer to many of the challenges facing global healthcare.  The role of digital technology in realising the dream of accessible, affordable, and sustainable care has grown across the entire range of health economies in not only serving current needs, but in building the basis for the healthcare of the future: personalised, digital by default and truly patient centric.

The innovations highlighted in the Playbook can offer support to healthcare in a variety of ways from solutions such as from Activinsights to support people at home with self-care apps and wearable technology which all will help transform healthcare, particularly as the Covid-19 pandemic has demonstrated the tremendous potential of digital transformation.

Activinsights is featured under the Remote and Virtual Care category, the wearable technology enabling to monitor patients remotely and maintaining the ability to act fast. These digital technology solutions are interventions that can be initiated by a physician and linked to a clinical care pathway. It differs from self-care solutions, which are driven by the empowered citizen. This a UK solution which allows healthcare providers to reduce risk, cost, and readmissions and demands on your health system, while improving the patient experience, by empowering teams to safely monitor, manage and engage patients at home.

Activinsights is a digital health company that specialises in the objective measurement of physical behaviours and lifestyle. Our technologies are used worldwide within the clinical trials, health management and research markets to provide accurate and continuous monitoring of lifestyle outside of the clinic environment. We develop novel health measures from data collected by our own professional wearables within a scalable global and secure infrastructure.

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