Design of an Energy Efficient Sensor Node for Wearable Applications

Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

Authors

  • Abdallah Adawy
  • Achraf Djemal
  • Lidu Wang
  • Ghada Bouattour
  • Ahmed Fakhfakh
  • Olfa Kanoun

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.

Original languageEnglish
Title of host publicationI2MTC 2024 - Instrumentation and Measurement Technology Conference : Instrumentation and Measurement for Sustainable Future, Proceedings
Number of pages6
PublisherInstitute of Electrical and Electronics Engineers Inc.
Publication date2024
ISBN (print)979-8-3503-8091-0
ISBN (electronic)979-8-3503-8090-3
DOIs
Publication statusPublished - 2024
EventIEEE International Instrumentation and Measurement Technology Conference - I2MTC 2024: Instrumentation and Measurement for a Sustainable Future - Glasgow, United Kingdom
Duration: 20.05.202423.05.2024

Bibliographical note

Publisher Copyright:
© 2024 IEEE.

    Research areas

  • Electromyography (EMG), Epilepsy diagnosis, Inertial Measurement Unit (IMU), Low power sensor node (SN)
  • Engineering

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