Sensors + algorithm quantify, analyze body movement to optimize exercise/treatment

FIGUR8 has commercialized MGH/MIT Media Lab research to create a sensor and algorithm to measure and track body movement as a biomarker. The wearable creates a movement baseline, diagnoses dysfunction, identifies injury risk, optimizes exercise routines and tracks progress.

During movement, the sensor quantifies muscle activity and joint mobility, and the algorithm analyzes more than a million data points to determine biomechanical health.  This is cheaper and potentially more effective than current MRI and x ray screening for soft tissue issues.

Athletes and physical therapists are using the system, which the company hopes will also be used in clinical Parkinson’s studies, and stroke diagnostics and recovery.

REGISTRATION RATES INCREASE AUGUST 30 | Join ApplySci at the 12th Wearable Tech + Digital Health + Neurotech Boston conference on November 14, 2019 at Harvard Medical School featuring talks by Brad Ringeisen, DARPA – Joe Wang, UCSD – Carlos Pena, FDA  – George Church, Harvard – Diane Chan, MIT – Giovanni Traverso, Harvard | Brigham & Womens – Anupam Goel, UnitedHealthcare  – Nathan Intrator, Tel Aviv University | Neurosteer – Arto Nurmikko, Brown – Constance Lehman, Harvard | MGH – Mikael Eliasson, Roche – David Rhew, Microsoft

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