Comparison of Features by Simultaneous Measurement of Blood Pressure Pulse Wave and Electrocardiogram

Osawa, Yosuke; Hata, Satoshi; Hori, Masataka; Dohi, Tomotaka

doi:10.1109/embc44109.2020.9176639

Cited by 3 publications

(1 citation statement)

References 4 publications

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“…Although these devices can automatically adjust the wearing condition, creating wearable devices with motors and pneumatics is difficult because the devices are heavy and consume large amounts of electricity. In contrast, in our laboratory, we have been developing a wristwatch-type wearable device that is small, lightweight, and capable of continuously measuring blood pressure pulse waves [ 12 , 13 , 14 ]. A photograph of the latest prototype device is shown in Figure 2 .…”

Section: Introductionmentioning

confidence: 99%

Extraction and Evaluation of Discriminative Indexes of the Wearing Condition for High-Precision Blood Pressure Pulse Wave Measurement

Osawa

Dohi

2022

Micromachines

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In this paper, we report a new discriminant index for evaluating the wearing condition of a blood pressure pulse wave measurement device with small variability. The prototype device consists of MEMS 3-axis force sensors, a 3-axis push-in adjustment mechanism, a fixed jig, and a signal processing board. The arterial tonometry method is used by this device to measure blood pressure pulse waves. However, to accurately measure the blood pressure pulse wave, the device must be appropriately worn. The evaluation of the wearing condition using the amplitude of the blood pressure pulse wave was complicated by the wearing process due to the large variability. Therefore, we propose the ratio of the blood pressure pulse wave component to the noise component as an index that can evaluate the wear condition of the device. The correlation coefficient between the discriminant index and the amplitude of the blood pressure pulse wave had a correlation coefficient of 0.879. Furthermore, the discriminant index reduced the coefficient of variation by 12.8%. Therefore, it was suggested that the discriminant index is an index that can evaluate the pressing amount, one of the wearing conditions of the blood pressure pulse wave measurement device with a small influence of variation.

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Section: Introductionmentioning

confidence: 99%

Extraction and Evaluation of Discriminative Indexes of the Wearing Condition for High-Precision Blood Pressure Pulse Wave Measurement

Osawa

Dohi

2022

Micromachines

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Piezoelectric wearable atrial fibrillation prediction wristband enabled by machine learning and hydrogel affinity

et al. 2023

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Emerging sensing and modeling technologies for wearable and cuffless blood pressure monitoring

et al. 2023

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Cardiovascular diseases (CVDs) are a leading cause of death worldwide. For early diagnosis, intervention and management of CVDs, it is highly desirable to frequently monitor blood pressure (BP), a vital sign closely related to CVDs, during people’s daily life, including sleep time. Towards this end, wearable and cuffless BP extraction methods have been extensively researched in recent years as part of the mobile healthcare initiative. This review focuses on the enabling technologies for wearable and cuffless BP monitoring platforms, covering both the emerging flexible sensor designs and BP extraction algorithms. Based on the signal type, the sensing devices are classified into electrical, optical, and mechanical sensors, and the state-of-the-art material choices, fabrication methods, and performances of each type of sensor are briefly reviewed. In the model part of the review, contemporary algorithmic BP estimation methods for beat-to-beat BP measurements and continuous BP waveform extraction are introduced. Mainstream approaches, such as pulse transit time-based analytical models and machine learning methods, are compared in terms of their input modalities, features, implementation algorithms, and performances. The review sheds light on the interdisciplinary research opportunities to combine the latest innovations in the sensor and signal processing research fields to achieve a new generation of cuffless BP measurement devices with improved wearability, reliability, and accuracy.

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Comparison of Features by Simultaneous Measurement of Blood Pressure Pulse Wave and Electrocardiogram

Cited by 3 publications

References 4 publications

Extraction and Evaluation of Discriminative Indexes of the Wearing Condition for High-Precision Blood Pressure Pulse Wave Measurement

Extraction and Evaluation of Discriminative Indexes of the Wearing Condition for High-Precision Blood Pressure Pulse Wave Measurement

Piezoelectric wearable atrial fibrillation prediction wristband enabled by machine learning and hydrogel affinity

Emerging sensing and modeling technologies for wearable and cuffless blood pressure monitoring

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