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Design of ECG Sensor for Fatigue Detection

  • A significant proportion of road traffic accidents are due to inattentiveness or fatigue at the wheel. Approaches to monitoring the driver's condition range from eye tracking and driving behavior analysis to yawn and blink detection and ECG measurement. This work describes the development of a mobile system for the measurement and processing of ECG data. The aim of the signal processing is to quantify the driver’s fatigue with the heartrate variability (HRV). The work includes the hardware and software design of the sensor. First, the development of low-noise electronics including AD conversion is described. Then the software signal processing with QRS complex detection and plotting front end is explained. The resulting sensor is compact, low-cost and provides a good signal for HRV extraction.

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Metadaten
Author:David Julian Salb, Markus Elia Gromer, Thomas Walzer, Natividad Martínez MadridORCiD, Ralf SeepoldORCiDGND
URL:https://embs.papercept.net/conferences/conferences/EMBC19/program/EMBC19_ContentListWeb_2.html#wepos-01
Parent Title (English):41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2019), 23-27 July 2019, Messe Berlin, Germany ; (Paper WePOS-31.13)
Document Type:Conference Proceeding
Language:English
Year of Publication:2019
Release Date:2020/01/08
Institutes:Fakultät Informatik
Open Access?:Ja
Relevance:Externer wissenschaftlicher Fachvortrag oder Poster