Background: The characterization of limb biomechanics has broad implications for analyzing and managing\nmotion in aging, sports, and disease. Motion capture videography and on-body wearable sensors are powerful tools\nfor characterizing linear and angular motions of the body, though are often cumbersome, limited in detection, and\nlargely non-portable. Here we examine the feasibility of utilizing an advanced wearable sensor, fabricated with\nstretchable electronics, to characterize linear and angular movements of the human arm for clinical feedback. A\nwearable skin-adhesive patch with embedded accelerometer and gyroscope (BioStampRC, MC10 Inc.) was applied\nto the volar surface of the forearm of healthy volunteers. Arms were extended/flexed for the range of motion of\nthree different regimes: 1) horizontal adduction/abduction 2) flexion/extension 3) vertical abduction. Data were\nstreamed and recorded revealing the signal â??patternâ? of movement in three separate axes. Additional signal\nprocessing and filtering afforded the ability to visualize these motions in each plane of the body; and the 3-\ndimensional motion envelope of the arm............................
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