Biomechanical Signal Measurement of the Hand and Condition Assessment System using Fuzzy Logic in Parkinson's Patients
Authors: 
Jacob Astocondor-Villar, Adan Tejada-Cabanillas, Fernando Mendoza-Apaza, Juan Mendoza-Nolorbe, Ciro Teran-Dianderas, Dennis Huaman-Yrigoin, Carlos Canales-EscalanteAuthors Info & Claims
Jacob Astocondor-Villar, Adan Tejada-Cabanillas, Fernando Mendoza-Apaza, Juan Mendoza-Nolorbe, Ciro Teran-Dianderas, Dennis Huaman-Yrigoin, Carlos Canales-EscalanteAuthors Info & ClaimsPages 56 - 61
Abstract
Parkinson's disease is a neurodegenerative condition characterized by the presence of tremors, slow movements and muscle rigidity. There is currently no cure for this disease, but there are different methods that allow the disease to be identified, even so, the use of these methods can interfere with the patient's performance. Therefore, the use of non-invasive techniques to diagnose the disease is of vital importance for the well-being and timely treatment of the patient. This article describes the method of signal acquisition and processing using the MPU6050 sensor by means of a low-pass filter and fuzzy logic to estimate the degree of tremor movement of the patient's hand in a noninvasive way. A good performance of the sensor used together with the Fuzzy rules elaborated according to the measured variables was obtained, allowing to estimate the degree of severity of the patient by measuring the patient's movement captured by the sensor. The present device was adjusted in accordance with the Unified Parkinson's Disease Rating Scale (UPDRS), which was validated by a physician indicating the effectiveness of the device.
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Index Terms
- Biomechanical Signal Measurement of the Hand and Condition Assessment System using Fuzzy Logic in Parkinson's Patients
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March 2023
316 pages
ISBN:9798400700002
DOI:10.1145/3592307
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Published: 14 August 2023
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ICECC 2023
ICECC 2023: 2023 The 6th International Conference on Electronics, Communications and Control Engineering
March 24 - 26, 2023
Fukuoka, Japan
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