Design of an Energy Efficient Sensor Node for Wearable Applications
Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
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I2MTC 2024 - Instrumentation and Measurement Technology Conference: Instrumentation and Measurement for Sustainable Future, Proceedings. Institute of Electrical and Electronics Engineers Inc., 2024. (Conference Record - IEEE Instrumentation and Measurement Technology Conference).
Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
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TY - CHAP
T1 - Design of an Energy Efficient Sensor Node for Wearable Applications
AU - Adawy, Abdallah
AU - Djemal, Achraf
AU - Wang, Lidu
AU - Bouattour, Ghada
AU - Fakhfakh, Ahmed
AU - Kanoun, Olfa
N1 - Publisher Copyright: © 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - The demand for compact and low-power sensor nodes (SNs) as wearable devices has increased significantly as they contribute significantly to the monitoring of people's health status, providing valuable information for the treatment of various diseases. To address this issue for epilepsy diagnosis, we propose an energy-efficient SN design. The SN incorporates both accelerometer and gyroscope sensors monitoring movements and can be easily attached to an electromyography (EMG) sensor monitoring muscle activities. An internal contact socket allows seamless integration of both devices. The designed system has been tested on a healthy subject and has demonstrated high-quality data measurement. The SN uses low-power Bluetooth 5.0 to communicate with the mobile application, which is designed to modify the built-in sensor parameters and monitor sensor output in real-time. It has an average current consumption of 14.3 mA. In addition, all data from the developed system can be stored on an attached SD card, providing a reliable storage solution.
AB - The demand for compact and low-power sensor nodes (SNs) as wearable devices has increased significantly as they contribute significantly to the monitoring of people's health status, providing valuable information for the treatment of various diseases. To address this issue for epilepsy diagnosis, we propose an energy-efficient SN design. The SN incorporates both accelerometer and gyroscope sensors monitoring movements and can be easily attached to an electromyography (EMG) sensor monitoring muscle activities. An internal contact socket allows seamless integration of both devices. The designed system has been tested on a healthy subject and has demonstrated high-quality data measurement. The SN uses low-power Bluetooth 5.0 to communicate with the mobile application, which is designed to modify the built-in sensor parameters and monitor sensor output in real-time. It has an average current consumption of 14.3 mA. In addition, all data from the developed system can be stored on an attached SD card, providing a reliable storage solution.
KW - Electromyography (EMG)
KW - Epilepsy diagnosis
KW - Inertial Measurement Unit (IMU)
KW - Low power sensor node (SN)
KW - Engineering
UR - http://www.scopus.com/inward/record.url?scp=85197803892&partnerID=8YFLogxK
U2 - 10.1109/I2MTC60896.2024.10560674
DO - 10.1109/I2MTC60896.2024.10560674
M3 - Article in conference proceedings
AN - SCOPUS:85197803892
SN - 979-8-3503-8091-0
T3 - Conference Record - IEEE Instrumentation and Measurement Technology Conference
BT - I2MTC 2024 - Instrumentation and Measurement Technology Conference
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2024 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2024
Y2 - 20 May 2024 through 23 May 2024
ER -