Sensor Placement Comparison of Wearable Sensor System for Plantarflexion and Dorsiflexion Gait Parameters Measurement

This project focuses on designing and implementing a wearable sensor to measure plantar and dorsiflexion gait parameters, with a primary emphasis on optimizing the sensor's placement. These parameters, such as gait cycle time, stance time, swing time, single support time, and double support tim...

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Bibliographic Details
Published in2024 IEEE International Conference on Applied Electronics and Engineering (ICAEE) pp. 1 - 6
Main Authors Mohd Ghazali, M. A. A., Razak, A. H. A., Halim, A. K., Md Idros, M. F., Mohd Hassan, S. L., Al Junid, S. A. M., Chee, S. Pawan
Format Conference Proceeding
LanguageEnglish
Published IEEE 27.07.2024
Subjects
Ankle
Ankle Joint
Dorsiflexion
Gait parameter
Instruments
Limiting
Measurement units
Microcontrollers
Plantarflexion
Sensor placement
Stability analysis
Wearable Sensor
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Summary:This project focuses on designing and implementing a wearable sensor to measure plantar and dorsiflexion gait parameters, with a primary emphasis on optimizing the sensor's placement. These parameters, such as gait cycle time, stance time, swing time, single support time, and double support time, are instrumental in diagnosing diseases and ensuring biomechanical stability for post-surgery patients. However, current methods for evaluating these parameters are predominantly confined to costly laboratory setups, limiting accessibility. To address this issue, we present a novel approach using a wearable sensor device incorporating an Inertial Measurement Unit (IMU) sensor (MPU6050) and the NodeMCU microcontroller (ESP8266). The main objective is to develop a device capable of capturing ankle joint movements in real-time, providing valuable data for gait analysis, and comparing the two locations for measuring such gait parameters. Two sensor locations, near the ankle joint (tarsus region) and between the bridge of the foot and the toes (metatarsal region), are evaluated. Through extensive testing, the tarsus region is identified as the optimal location for precise and consistent data collection. The project lays the groundwork for improving ankle joint health and movement analysis, benefiting individuals' mobility and overall well-being.
DOI:10.1109/ICAEE62924.2024.10667636