Enhanced Accuracy in Respiratory Movement Detection Using Simultaneously Measured Body Proximity Signals via a Capacitive Sheet Electrode

Mikito Koyama, Akinori Ueno

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Keywords: respiratory movement, body proximity signal, capacitive sheet electrode

Abstract: The previously proposed capacitive sheet electrode enables simultaneous acquisition of electrocardiogram (ECG), respiratory movement (RM), and body proximity data. However, its RM detection accuracy remained below 85%. This study aimed to improve the detection accuracy of RM measured from the chest and abdomen during sleep using the sheet electrode placed under the bedsheet. A new detection algorithm was developed by leveraging concurrently measured body proximity signals and identifying periods of body movement. Analysis of overnight measurements from seven subjects revealed the following: (1) the mean detection accuracies of the new algorithm significantly increased (p < 0.01) by 6.9% for the chest and 8.8% for the abdomen, and (2) the mean accuracies reached 88.8% and 91.2%, respectively. These results demonstrate the superiority of the new algorithm.

Track: 1. Digital Health Solutions (i.e. sensors and algorithms) for diagnosis, progress, and self-management

NominateReviewer: Akinori Ueno, [e-mail]

Submission Number: 52