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Algorithms and 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.

how-we-do-it_medical-grade-wearable-2-test

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 Mobility

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

Researchers Monitoring Vital Signs

Vital Signs

Remote, Continuous Vital Sign Measures Unlock New and Deeper Patient Insights.

Cardinal Symptoms

Cardinal Symptoms

Tracking and collecting data on cardinal symptoms in chronic diseases improves measurement accuracy over time.


Relevance of Algorithms and Measures

The table below indicates the relevance of these measures across a range of conditions.

THERAPEUTIC AREA INDICATION PHYSICAL ACTIVITY SLEEP MOBILITY 1 UPPER LIMB FALL 1,2 TREMOR 1,2 SCRATCH 1,2 VITAL SIGNS 1 (LEAP)
Oncology Cancers            
Neurology Alzheimer's/ Dementia      
Parkinson's Disease      
Multiple Sclerosis    
ALS        
DMD      
SMA      
Rheumatology Myositis      
Arthritis      
Respirology COPD        
Pulmonary Hypertension        
Cardiology Heart Failure        
Psychiatry Depression          
Schizophrenia          
Dermatology Atopic Dermatitis          
Psoriasis          

More check marks = More relevant
1. CentrePoint® Platform Only.
2. Still undergoing research and currently unavailable.


ActiGraph

Pioneering the Digital Transformation of Clinical Research