Easy screening of outpatients for atrial fibrillation by analyzing fingertip pulse wave variation

Okabe, Shinichi; Sato, Akiyoshi; Kasuya, Hiromichi; Sugiyama, Koichi; Endo, Satoshi; Mitsunari, Hiroaki; Kamata, Kenichi; Yamagata, Masaru; Katayanagi, Tatsuya

doi:10.3143/geriatrics.55.402

Cited by 1 publication

(1 citation statement)

References 23 publications

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“…The rst author attempted outpatient AF screening using a commercially available automatic blood pressure monitor with an irregular pulse detection function and obtained ef cacy results with 74.3% sensitivity, which had a problem in terms of accuracy [10]. Therefore, we next developed an AF detection system using a pulse oximeter and reported its effectiveness [11]. In the present study, a non-contact vital sensing software (Rhythmiru, CAC Co., Ltd.) [12] was used to further simplify the measurement method.…”

Section: Introductionmentioning

confidence: 99%

Development of a System for Detecting Pulse Irregularities of Atrial Fibrillation from Palm Images Using Videoplethysmography

Okabe

Sugiyama²,

Kaihara³

2022

ABE

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Atrial brillation (AF) is the leading cause of cardiogenic cerebral embolism (CE), which is the most severe course of ischemic stroke. AF detection is important for preventing the onset of CE, but it is not always easy to diagnose AF before the onset of CE because almost half of the patients with AF are asymptomatic. Here, we report the development of an extremely simple yet highly accurate AF screening system that can measure pulse simply by placing the palm on the detector. Videoplethysmography (VPG) was used in the pulse-measuring device. This system consists of a Windows personal computer (PC) connected to a web camera, and the PC is equipped with a non-contact vital sensing software "Rhythmiru" and a pulse wave analysis program. Pulse wave information was acquired by analyzing video images of the palm. The pulse data were evaluated in two stages using power spectrum analysis and coef cient of variation analysis, based on which AF was determined. The measurement time was less than 1 min, which is satisfactory for practical use. Electrocardiography was performed simultaneously with pulse measurement using this device to evaluate the accuracy of the system. Among 128 patients, 116 were analyzed after excluding duplicate patients and those who had technical problems. The 116 patients included 28 with AF and 88 without AF. The system had 96.4% sensitivity and 97.7% speci city for AF detection. Our method of assessing pulse variability using the palm surface based on VPG information was feasible and highly accurate. AF detection efforts can lead to early detection of asymptomatic AF, resulting in a reduction in CE.

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Section: Introductionmentioning

confidence: 99%

Development of a System for Detecting Pulse Irregularities of Atrial Fibrillation from Palm Images Using Videoplethysmography

Okabe

Sugiyama²,

Kaihara³

2022

ABE

Self Cite

View full text Add to dashboard Cite

show abstract

Easy screening of outpatients for atrial fibrillation by analyzing fingertip pulse wave variation

Abstract: Using the method described in this study, we detected asymptomatic AF in numerous patients, and demonstrated that this method is potentially useful in screening outpatients for asymptomatic AF.

Cited by 1 publication

References 23 publications

Development of a System for Detecting Pulse Irregularities of Atrial Fibrillation from Palm Images Using Videoplethysmography

Development of a System for Detecting Pulse Irregularities of Atrial Fibrillation from Palm Images Using Videoplethysmography

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