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

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

Physical Activity

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

Gait and balance disorders are major causes of falls, and predict future falls more consistently than other identified risk factors.

Algorithms and Measures Table

More dots = More relevant
*CentrePoint Only

two men in meeting
woman sleeping
Group 186

Sleep

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


woman gardening
Group 169

Physical Activity

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

woman gardening

man using phone
Group 168

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™

ActiGraph