Signal processing and data analytics techniques can be applied to biosignal sensors for the reliable measurement of health data. This technology uses specific algorithm modeling and artificial intelligence for information and feature extraction. It also uses sensor fusion that interprets data acquired from multiple sources for a more accurate and credible view. In this process, the fused information generated by wearable sensors, such as movement patterns, gait analysis or activity tracking, is correlated with synchronized bio-signal data.
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Medical grade wearable IMU sensor for Neurorehabilitation
221e’s Muse system was used to control the pulses of electrostimulation based on VIKTOR’s clinical motion protocols. Inertial sensors and orientation estimation with our MPE were used as the backbone technology to automatically recognize exercise cycles and provide digital input to trigger muscular and nervous excitation.