Abstract
Electrocardiography (ECG) is known to be a reasonable measure of driver fatigue. In this study, we have estimated the cECG performance while placing it on seat base and seat back of the driver seat. Ten male licensed volunteers participated in this study for the duration on the one hour on the simulator. cECG electrodes were place at the seat back and other set of cECG electrodes were placed at the seat base. cECG signals were acquired from both seat back and seat base and it was correlated with the conventional ECG system. Based on Magnitude square coherence (MSC) analysis, it was observed that all the ECG signals acquired from different source had good coherence with ECG (p > 0.05). It was observed that the cECG signals acquired from the seat base shown good coherence as compared to the signals acquired from seat back. Perspiration effect reveled that the signals from the seat base were more consistent and reliable as compared to seat back signal (p > 0.05). However, combined cECG from seat back and seat base was better than using a single source for sensor.
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Acknowledgment
The authors would like to show gratitude to all the members of Rehabilitation Bioengineering Group (RBG) at Indian Institute of technology Madras, India, and other volunteers for their participation in this study.
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Bhardwaj, R., Balasubramanian, V. (2019). Driver’s Cardiac Activity Performance Evaluation Based on Non-contact ECG System Placed at Different Seat Locations. In: Bagnara, S., Tartaglia, R., Albolino, S., Alexander, T., Fujita, Y. (eds) Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018). IEA 2018. Advances in Intelligent Systems and Computing, vol 823. Springer, Cham. https://doi.org/10.1007/978-3-319-96074-6_30
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DOI: https://doi.org/10.1007/978-3-319-96074-6_30
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