Interactive system for optimal position selection of a patch-type R–R interval telemeter

Heart rate variability (HRV) is an indicator of changes in the interval between successive R-waves on the electrocardiogram (ECG), known as R–R intervals (RRI), caused by autonomic nervous system activity. Measurement of RRI is useful in detecting diseases related to autonomic nervous system activit...

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Bibliographic Details
Published in:Artificial life and robotics 2023-02, Vol.28 (1), p.226-235
Main Authors: Noguchi, Aoi, Takano, Tomoyuki, Fujiwara, Koichi, Miyajima, Miho, Yamakawa, Toshitaka
Format: Article
Language:English
Subjects:
Artificial Intelligence
Autonomic nervous system
Computation by Abstract Devices
Computer Science
Control
Electrocardiography
Heart rate
Interactive systems
Mechatronics
Nervous system
Original Article
Position measurement
Robotics
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Summary:Heart rate variability (HRV) is an indicator of changes in the interval between successive R-waves on the electrocardiogram (ECG), known as R–R intervals (RRI), caused by autonomic nervous system activity. Measurement of RRI is useful in detecting diseases related to autonomic nervous system activity and predicting seizures. This study proposes an improved heart-rate measurement system that combines a highly accurate, compact, and inexpensive patch-type RRI telemeter with a smartphone application that automatically selects the appropriate measurement position without the need of an expert. To evaluate the measurement accuracy, the RRIs of 10 healthy men and 10 healthy women in supine, sitting, standing, and walking (3 km/h) postures were simultaneously measured using the proposed system and a reference ECG measurement system, and the obtained results were compared. Furthermore, the R-wave detection rate was measured, and Bland–Altman analysis was conducted to analyze the measurement accuracy of the proposed system. The results show that the R-wave detection rate and limit-of-agreement were sufficiently accurate for HRV analysis for 68 and 67 out of the total of 80 epochs, respectively. The fabricated system is expected to enhance the ability of non-experts to conduct ECG measurements and will contribute to improve the quality of healthcare through continuous monitoring at home.
ISSN:1433-5298
1614-7456
DOI:10.1007/s10015-022-00815-1