Research Article
Healthcare Based on IoT Using Arduino, MPU6050 Accelerometer and Gyroscope Sensor and FSR-174 Strain Gauge for Fatigue
@INPROCEEDINGS{10.1007/978-3-031-34586-9_11, author={Sara Fern\^{a}ndez-Canosa and Ver\^{o}nica L\^{o}pez Gonz\^{a}lez and Antonio Consoli and Vanesa Soto-Le\^{o}n}, title={Healthcare Based on IoT Using Arduino, MPU6050 Accelerometer and Gyroscope Sensor and FSR-174 Strain Gauge for Fatigue}, proceedings={Pervasive Computing Technologies for Healthcare. 16th EAI International Conference, PervasiveHealth 2022, Thessaloniki, Greece, December 12-14, 2022, Proceedings}, proceedings_a={PERVASIVEHEALTH}, year={2023}, month={6}, keywords={Fatigue Finger-tapping task Biomedical Electronic Device}, doi={10.1007/978-3-031-34586-9_11} }- Sara Fernández-Canosa
Verónica López González
Antonio Consoli
Vanesa Soto-León
Year: 2023
Healthcare Based on IoT Using Arduino, MPU6050 Accelerometer and Gyroscope Sensor and FSR-174 Strain Gauge for Fatigue
PERVASIVEHEALTH
Springer
DOI: 10.1007/978-3-031-34586-9_11
Abstract
The term “fatigue” refers to a change in task performance over time due to both psychological and physiological factors. No universal fatigue definition has been reached due to the strong subjective component attached to it. Fatigue assessment techniques vary from subjective scales to objective assessment tests such as isometric and finger tapping tasks performance. A low-cost, portable, and simple equipment is the most suitable option for the implementation of fatigue evaluation tasks during clinical visits.
The main goal of this work is to design and implement a biomedical device for muscle fatigue evaluation characterized by being portable, simple, and affordable. Additionally, correct functioning should be provided, and signal registration must be ensured.
For its development, an Arduino programmable board, a strain gauge sensor and a gyroscope and accelerometer sensor have been employed. The most appropriate sensors were selected: FSR-174 strain gauge and MPU6050 accelerometer and gyroscope sensor. Additionally, circuit design, assembly have been carefully implemented for the proposed goal.
Different fatigue measurements have been obtained and fatigue presence on the different recordings attributed by the new biomedical device have been demonstrated. As a conclusion, the design and implementation of an objective fatigue assessment equipment has been finalized and its correct functioning and signal registration capability have been proven. Near future daily clinic visits may provide the performance of fatigue assessment tasks with the biomedical electronic device created in this project after further investigations on register analysis, fatigue measurement computation and the device Internet connection.
