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Low-Cost Wearable Muscle Insight System

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dc.contributor.author Project Supervisor Dr. Usman Akram Dr. Sajid Gul Khawaja, Ns Moeez Tariq Pc Muntaha Rehan Ns Nidal Nadeem Chughtai Ns Samreen Fatima
dc.date.accessioned 2025-03-13T07:26:52Z
dc.date.available 2025-03-13T07:26:52Z
dc.date.issued 2021
dc.identifier.other DE-COMP-39
dc.identifier.uri http://10.250.8.41:8080/xmlui/handle/123456789/50990
dc.description Project Supervisor Dr. Usman Akram Dr. Sajid Gul Khawaja en_US
dc.description.abstract With the steady improvement in the quality of life, there is an increase in the number of people that are paying attention to their health. Regular exercise and physical activity provide numerous health benefits. Exercising is beneficial to everyone, regardless of age, gender, or physical ability but inappropriate or excessive sport and exercise, on the other hand, might result in physical harm. Also, towards the sports industry athletes not being aware of their muscle health can risk their careers. And this can be dangerous to the ones who are keen to know about their muscle insight in order to avoid disorders like unequal muscle growth. In this regard with the help of sensors like EMG, ECG and IMU we can gather a sufficient amount of information which can help us to make a system that can work in order to avoid these disorders. Also, the above goal can be achieved by EMG tests, but they are only available in hospitals, so a commercially available solution is needed. The process begins with the muscles producing raw data which is transferred to Web-App wirelessly through IOT node. To refine the raw signals, the data is sent to the web servers where machine learning algorithms will be applied en_US
dc.language.iso en en_US
dc.publisher College of Electrical & Mechanical Engineering (CEME), NUST en_US
dc.title Low-Cost Wearable Muscle Insight System en_US
dc.type Project Report en_US


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