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- W3190781988 abstract "Clinical gait analysis using electromyography (EMG) sensor is an important area of research to explore in the field of healthcare applications. Various expensive EMG sensors are available to record and analyze gait data for abnormality detection. A novel approach with cost-effective EMG sensor has been discussed to provide a possible solution for gait analysis. The muscle activation pattern has been acquired from low-cost EMG sensor for different gait activities and classifies them with machine learning techniques. This research provides a clear insight into data analysis and classification models for EMG sensor-based gait analysis." @default.
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- W3190781988 date "2021-01-01" @default.
- W3190781988 modified "2023-10-18" @default.
- W3190781988 title "A low-cost electromyography (EMG) sensor-based gait activity analysis" @default.
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- W3190781988 doi "https://doi.org/10.1016/b978-0-323-85245-6.00010-2" @default.
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