Digital Health Technologies
Algorithms & Measures
Data-Informed Research for Life-Changing Treatments
Digital health technologies (DHTs) are used to advance clinical measures in many areas of research and development. When collecting data through noninvasive, patient-centric devices, DHTs can reveal meaningful insights into how people function in the real world. ActiGraph devices apply transparent algorithms to study physical activity, sleep, and mobility.
The table below indicates the relevance of these measures across a range of conditions.

Sleep
Sleep is the subject of increased clinical research, as both a primary disorder and a symptom of another disease.

Physical Activity
Physical activity and functioning are essential to understanding the clinical outcomes across a wide range of chronic conditions.

Gait and Balance
Gait and balance disorders are major causes of falls, and predict future falls more consistently than other identified risk factors.
More dots = More relevant
*CentrePoint Only
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Sleep
Sleep is the subject of increased clinical research, as both a primary disorder and a symptom of another disease.


Physical Activity
Physical activity and functioning are essential to understanding the clinical outcomes across a wide range of chronic conditions.



Gait & Balance
Gait and balance disorders are major causes of falls, and predict future falls more consistently than other identified risk factors.
Pioneering the Digital Transformation of Clinical Research™