TY - JOUR
T1 - Performance of an atrial fibrillation detection algorithm using continuous pulse wave monitoring
AU - Kashiwa, Asami
AU - Koyama, Fumio
AU - Miyamoto, Koji
AU - Kamakura, Tsukasa
AU - Wada, Mitsuru
AU - Yamagata, Kenichiro
AU - Ishibashi, Kohei
AU - Inoue, Yuko
AU - Okamura, Hideo
AU - Nagase, Satoshi
AU - Noda, Takashi
AU - Aiba, Takeshi
AU - Watanabe, Shinichiro
AU - Goto, Akihiro
AU - Yasuda, Satoshi
AU - Kusano, Kengo
N1 - Funding Information:
Funding information This work was supported by the Practical Research Project for Life-Style related Diseases including Cardiovascular Diseases and Diabetes Mellitus, from the Japan Agency for Medical Research and Development (AMED) (grant no. H26-019, 16ek0210035h0103) and intramural research funds (25-4-7) for cardiovascular disease from the National Cerebral and Cardiovascular Center. We wish to thank Hiroko Sakai, Chikako Tokudome, Masako Kotera, Yoshiko Takenobu, Mami Niimi, Kazuko Shigehira for their secretarial assistance, and Masashi Inagaki, Masaru Sugimachi, Aiko Koda, Yoshiki Yanagi, and Koji Ogawa as scientific advisors.
Funding Information:
This work was supported by the Practical Research Project for Life‐Style related Diseases including Cardiovascular Diseases and Diabetes Mellitus, from the Japan Agency for Medical Research and Development (AMED) (grant no. H26‐019, 16ek0210035h0103) and intramural research funds (25‐4‐7) for cardiovascular disease from the National Cerebral and Cardiovascular Center.
Publisher Copyright:
© 2018 Wiley Periodicals, Inc.
PY - 2019/3
Y1 - 2019/3
N2 - Background: Detecting asymptomatic and undiagnosed atrial fibrillation (AF) is increasingly important. Recently, we developed a wristwatch-based pulse wave monitor (PWM; Seiko Epson, Japan) capable of long-term recording, with an automatic diagnosis algorithm that uses frequency-based pulse wave analysis. The aim of this study was to evaluate the validity of continuous pulse wave monitoring for detection of AF. Methods: During the electrophysiological study (EPS) in patients with AF, simultaneous pulse wave monitoring and Holter electrocardiograms (ECG) were recorded (n = 136, mean age 62.7 ± 10.9 years). The diagnostic accuracy of the PWM for AF was compared to the Holter ECG diagnosis. Standard performance metrics (sensitivity [Se], specificity [Sp], positive predictive value [PPV], and negative predictive value [NPV]) were calculated. The duration-based measurements were based on the diagnosis concordance ratios for the duration of time between diagnosis detected by the PWM and true diagnosis by the Holter ECG (AF or not AF). The episode-based performance metrics were based on the proportion of episodes appropriately detected with the PWM relative to episodes determined by the Holter ECG. Results: The total recording time was 1,542,770 s (AF: 270,945 s). A high diagnostic Sp (patient average: 96.4%, cumulative: 97.7%) and NPV (patient average: 95.1%, cumulative: 96.8%) were obtained in the duration-based results. In the episode-based metrics, all indices significantly improved with longer AF episode durations. Conclusions: Continuous pulse wave monitoring can provide accurate and dependable information to aid in AF diagnosis. A high validity in confirming freedom from AF was shown by a high NPV.
AB - Background: Detecting asymptomatic and undiagnosed atrial fibrillation (AF) is increasingly important. Recently, we developed a wristwatch-based pulse wave monitor (PWM; Seiko Epson, Japan) capable of long-term recording, with an automatic diagnosis algorithm that uses frequency-based pulse wave analysis. The aim of this study was to evaluate the validity of continuous pulse wave monitoring for detection of AF. Methods: During the electrophysiological study (EPS) in patients with AF, simultaneous pulse wave monitoring and Holter electrocardiograms (ECG) were recorded (n = 136, mean age 62.7 ± 10.9 years). The diagnostic accuracy of the PWM for AF was compared to the Holter ECG diagnosis. Standard performance metrics (sensitivity [Se], specificity [Sp], positive predictive value [PPV], and negative predictive value [NPV]) were calculated. The duration-based measurements were based on the diagnosis concordance ratios for the duration of time between diagnosis detected by the PWM and true diagnosis by the Holter ECG (AF or not AF). The episode-based performance metrics were based on the proportion of episodes appropriately detected with the PWM relative to episodes determined by the Holter ECG. Results: The total recording time was 1,542,770 s (AF: 270,945 s). A high diagnostic Sp (patient average: 96.4%, cumulative: 97.7%) and NPV (patient average: 95.1%, cumulative: 96.8%) were obtained in the duration-based results. In the episode-based metrics, all indices significantly improved with longer AF episode durations. Conclusions: Continuous pulse wave monitoring can provide accurate and dependable information to aid in AF diagnosis. A high validity in confirming freedom from AF was shown by a high NPV.
KW - atrial fibrillation
KW - monitoring
KW - pulse wave
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U2 - 10.1111/anec.12615
DO - 10.1111/anec.12615
M3 - Article
C2 - 30387545
AN - SCOPUS:85055921911
SN - 1082-720X
VL - 24
JO - Annals of Noninvasive Electrocardiology
JF - Annals of Noninvasive Electrocardiology
IS - 2
M1 - e12615
ER -