Early Detection of Huntington Diseases by Using Wearable Sensor

Early Detection of Huntington Diseases by Using Wearable Sensor

Nivedha A.K*1, Madhupriya R*2, Padmapriya R*3, Priyasakthi M*4, Tamilzhkani K*5,
*1 Assistant professor, Dhanalakshmi Srinivasan Engineering College (Autonomous) Perambalur, India.

*2,3,4,5 B.E Bio Medical Engineering, Dhanalakshmi Srinivasan Engineering College (Autonomous) Perambalur, India.

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Abstract - Huntington’s Disease (HD) is a

hereditary           neurodegenerative           condition characterized by the gradual degeneration of neurons, particularly in the cerebral cortex and basal ganglia. This degeneration results in motor dysfunction, cognitive impairment, and behavioral abnormalities. Among the earliest and most impactful symptoms are gait disturbances, including reduced stride length, irregular gait rhythm, and balance issues, which significantly impair mobility and quality of life. Traditional gait analysis requires expensive lab setups and lacks portability. Recent advancements in wearable sensor technology offer low-cost, real-time alternatives suitable for both clinical and home environments. This study presents a wearable monitoring system built on the Node MCU microcontroller, integrating a tri-axial accelerometer for gait analysis and sensors for Physiological monitoring—temperature, humidity (DHT11), heart rate, SpO2, and galvanic skin response (GSR). Data is transmitted wirelessly to the Thing Speak cloud for real-time visualization and remote analysis. Preliminary findings indicate that integrating gait and physiological data enhances the ability to monitor disease progression, support early intervention, and personalize therapeutic strategies. The system demonstrates promise as an accessible, non-invasive tool for continuous HD monitoring.

Keywords-wearable sensor, gait analysis, physiological monitoring, real time monitoring