Fall Prevention

Falls are the leading cause of injury for older adults. The need for something to combat this epidemic is huge due to the healthcare costs as well as the outcomes of a fall such as an injury. The objective of this project is to design a system capable of analyzing electromyography and accelerometer data in real-time and alert the patient when they are at increased risk of falling while walking. We will test three parameters on individuals to assess the gait profiles. Once analyzed, we will set threshold parameters that, if reached, will alert the patient.Poster Presentation

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