LEARNING SOUND WAVES' EFFECTS ON EMG SIGNALS USING ARTIFICIAL INTELLIGENCE
Sound is an energy (Raghu , 2018; Choi, Jung, & Kang, 2019) or a vibration that can be propagated into human bodies as sound waves and these sound waves have either positive or negative effects on both physical and mental well-being of people (Bass & Clark, 2003; World Health Organization, 2018; Reybrouck , Podlipniak, & Welch, 2019). These positive or negative sound wave effects can culminate into therapeutic or pathologic effects, hence our aim of creating an artificial intelligence-based model for detecting and predicting therapeutic sound frequencies and amplitudes based on individual health needs. Our research aims to design an artificial intelligence-based (AI) model for detecting human muscle response to different sound frequencies and amplitudes. Using artificial intelligence, we were able to find the difference between the EMG signals recorded from the volunteers during different sound wave applications. This means that human muscle responds to different sound signals and reacts differently.
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