Benito Lorenzo Pugliese
Low Power Long Term sEMG Monitoring Modular System.
Rel. Danilo Demarchi, Paolo Motto Ros. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Elettronica (Electronic Engineering), 2019
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Abstract
The future of rehabilitation medicine will rely on technologies to monitor patients and implement rehabilitation interventions in their home. Technology that is wearable, low-cost, suitable for home use, and capable of operating for long periods of time will be of paramount importance in enabling interventions outside of the clinic. This thesis is part of SISTER, a project conceived by MITOR, a collaboration between Politecnico di Torino, Massachusetts Institute of Technology (MIT) and Harvard Medical School. The goal of the project is to design and manufacture a wearable device to acquire and elaborate surface ElectroMyoGraphy (sEMG) data to characterize aberrant muscle activity patterns that rehabilitation medicine specialist will be able to use to plan clinical interventions.
The innovative approach of Average Threshold Crossing (ATC) technique is implemented to drastically reduce the power consumption due to the minimal amount of data to be processed
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