Fall Detection and Prevention

Whereas an accelerometer alone may yield false positives when a device is forgotten or dropped by the patient, the combination of accelerometer with plantar pressure readings will reduce false positives, yield more reliable fall detections and reduce the costs of unnecessary care escalation or ambulance dispatch.

In terms of prevention, we endeavor to reduce the burden of falls through targeted early alerts to encourage a change in behavior, such as use of a walker, or care escalation, such as visiting a physical therapist.

Neurology

Researchers have proven the importance of Gait monitoring for many disease states, from Parkinson’s to Multiple Sclerosis and Alzheimer’s. They have also found a strong association between the severity of age-related white matter changes and the severity of Gait and motor compromise. Physical activity might have the potential to reduce the risk of limitations in mobility.

Rehabilitation

Sensoria will enable a range of rehabilitation services to be delivered at home. For example, functional capacity and mobility tests – traditionally restricted to the clinic setting – could be tracked and recorded in the community setting to monitor recovery, track therapy response, and predict hospitalization risk. To begin, Sensoria could provide live guidance to ensure accurate performance of current standard tests.   In the future algorithms could be developed to passively track physical function and mobility, thereby replacing clinical proxies with actual “real-life” data.  The monitoring functionality could also be paired with therapeutic modules to create a home-based rehabilitation program.