Accuracy of continuous photoplethysmography-based 1 min mean heart rate assessment during atrial fibrillation
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Accuracy of continuous photoplethysmography-based 1 min mean heart rate assessment during atrial fibrillation. / Hermans, Astrid N L; Isaksen, Jonas L; Gawalko, Monika; Pluymaekers, Nikki A H A; van der Velden, Rachel M J; Snippe, Hilco; Evens, Stijn; De Witte, Glenn; Luermans, Justin G L M; Manninger, Martin; Lumens, Joost; Kanters, Jørgen K; Linz, Dominik.
In: Europace, Vol. 25, No. 3, 2023, p. 835–844.Research output: Contribution to journal › Journal article › Research › peer-review
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TY - JOUR
T1 - Accuracy of continuous photoplethysmography-based 1 min mean heart rate assessment during atrial fibrillation
AU - Hermans, Astrid N L
AU - Isaksen, Jonas L
AU - Gawalko, Monika
AU - Pluymaekers, Nikki A H A
AU - van der Velden, Rachel M J
AU - Snippe, Hilco
AU - Evens, Stijn
AU - De Witte, Glenn
AU - Luermans, Justin G L M
AU - Manninger, Martin
AU - Lumens, Joost
AU - Kanters, Jørgen K
AU - Linz, Dominik
N1 - © The Author(s) 2023. Published by Oxford University Press on behalf of the European Society of Cardiology.
PY - 2023
Y1 - 2023
N2 - AIMS: Although mobile health tools using photoplethysmography (PPG) technology have been validated for the detection of atrial fibrillation (AF), their utility for heart rate assessment during AF remains unclear. Therefore, we aimed to evaluate the accuracy of continuous PPG-based 1 min mean heart rate assessment during AF.METHODS AND RESULTS: Persistent AF patients were provided with Holter electrocardiography (ECG) (for ≥24 h) simultaneously with a PPG-equipped smartwatch. Both the PPG-based smartwatch and Holter ECG automatically and continuously monitored patients' heart rate/rhythm. ECG and PPG recordings were synchronized and divided into 1 min segments, from which a PPG-based and an ECG-based average heart rate estimation were extracted. In total, 47 661 simultaneous ECG and PPG 1 min heart rate segments were analysed in 50 patients (34% women, age 73 ± 8 years). The agreement between ECG-determined and PPG-determined 1 min mean heart rate was high [root mean squared error (RMSE): 4.7 bpm]. The 1 min mean heart rate estimated using PPG was accurate within ±10% in 93.7% of the corresponding ECG-derived 1 min mean heart rate segments. PPG-based 1 min mean heart rate estimation was more often accurate during night-time (97%) than day-time (91%, P < 0.001) and during low levels (96%) compared to high levels of motion (92%, P < 0.001). A neural network with a 10 min history of the recording did not further improve the PPG-based 1 min mean heart rate assessment [RMSE: 4.4 (95% confidence interval: 3.5-5.2 bpm)]. Only chronic heart failure was associated with a lower agreement between ECG-derived and PPG-derived 1 min mean heart rates (P = 0.040).CONCLUSION: During persistent AF, continuous PPG-based 1 min mean heart rate assessment is feasible in 60% of the analysed period and shows high accuracy compared with Holter ECG for heart rates <110 bpm.
AB - AIMS: Although mobile health tools using photoplethysmography (PPG) technology have been validated for the detection of atrial fibrillation (AF), their utility for heart rate assessment during AF remains unclear. Therefore, we aimed to evaluate the accuracy of continuous PPG-based 1 min mean heart rate assessment during AF.METHODS AND RESULTS: Persistent AF patients were provided with Holter electrocardiography (ECG) (for ≥24 h) simultaneously with a PPG-equipped smartwatch. Both the PPG-based smartwatch and Holter ECG automatically and continuously monitored patients' heart rate/rhythm. ECG and PPG recordings were synchronized and divided into 1 min segments, from which a PPG-based and an ECG-based average heart rate estimation were extracted. In total, 47 661 simultaneous ECG and PPG 1 min heart rate segments were analysed in 50 patients (34% women, age 73 ± 8 years). The agreement between ECG-determined and PPG-determined 1 min mean heart rate was high [root mean squared error (RMSE): 4.7 bpm]. The 1 min mean heart rate estimated using PPG was accurate within ±10% in 93.7% of the corresponding ECG-derived 1 min mean heart rate segments. PPG-based 1 min mean heart rate estimation was more often accurate during night-time (97%) than day-time (91%, P < 0.001) and during low levels (96%) compared to high levels of motion (92%, P < 0.001). A neural network with a 10 min history of the recording did not further improve the PPG-based 1 min mean heart rate assessment [RMSE: 4.4 (95% confidence interval: 3.5-5.2 bpm)]. Only chronic heart failure was associated with a lower agreement between ECG-derived and PPG-derived 1 min mean heart rates (P = 0.040).CONCLUSION: During persistent AF, continuous PPG-based 1 min mean heart rate assessment is feasible in 60% of the analysed period and shows high accuracy compared with Holter ECG for heart rates <110 bpm.
U2 - 10.1093/europace/euad011
DO - 10.1093/europace/euad011
M3 - Journal article
C2 - 36748247
VL - 25
SP - 835
EP - 844
JO - Europace
JF - Europace
SN - 1099-5129
IS - 3
ER -
ID: 337971740