Smartwatch-Based Blood Pressure Measurement Demonstrates Insufficient Accuracy

被引:29
作者
Falter, Maarten [1 ,2 ,3 ]
Scherrenberg, Martijn [1 ,2 ,4 ]
Driesen, Karen [1 ]
Pieters, Zoe [5 ]
Kaihara, Toshiki [1 ,2 ,6 ]
Xu, Linqi [1 ,2 ,7 ]
Caiani, Enrico Gianluca [8 ,9 ]
Castiglioni, Paolo [10 ]
Faini, Andrea [11 ]
Parati, Gianfranco [11 ,12 ]
Dendale, Paul [1 ,2 ]
机构
[1] Hasselt Univ, Fac Med & Life Sci, Hasselt, Belgium
[2] Jessa Hosp, Heart Ctr Hasselt, Hasselt, Belgium
[3] Katholieke Univ Leuven, Fac Med, Dept Cardiol, Leuven, Belgium
[4] Antwerp Univ, Fac Med & Hlth Sci, Antwerp, Belgium
[5] Hasselt Univ, Data Sci Inst, Hasselt, Belgium
[6] St Marianna Univ, Dept Internal Med, Div Cardiol, Sch Med, Kawasaki, Japan
[7] Jilin Univ, Sch Nursing, Changchun, Peoples R China
[8] Politecn Milan, Dept Elect Informat & Bioengn, Milan, Italy
[9] CNR, Inst Elect Comp & Telecommun Engn, Milan, Italy
[10] IRCCS Fdn Don Carlo Gnocchi ONLUS, Milan, Italy
[11] S Luca Hosp, Ist Auxol Italiano, Dept Cardiovasc Neural & Metab Sci, IRCCS, Milan, Italy
[12] Univ Milano Bicocca, Dept Med & Surg, Milan, Italy
关键词
blood pressure; hypertension; smartwatch; Taffe method; digital health; cardiovascular disease; ambulatory blood pressure monitoring; blood pressure variability; MEASURING DEVICES; VALIDATION; SOCIETY; PROTOCOL;
D O I
10.3389/fcvm.2022.958212
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
BackgroundNovel smartwatch-based cuffless blood pressure (BP) measuring devices are coming to market and receive FDA and CE labels. These devices are often insufficiently validated for clinical use. This study aims to investigate a recently CE-cleared smartwatch using cuffless BP measurement in a population with normotensive and hypertensive individuals scheduled for 24-h BP measurement. MethodsPatients that were scheduled for 24-h ambulatory blood pressure monitoring (ABPM) were recruited and received an additional Samsung Galaxy Watch Active 2 smartwatch for simultaneous BP measurement on their opposite arm. After calibration, patients were asked to measure as much as possible in a 24-h period. Manual activation of the smartwatch is necessary to measure the BP. Accuracy was calculated using sensitivity, specificity, positive and negative predictive values and ROC curves. Bland-Altman method and Taffe methods were used for bias and precision assessment. BP variability was calculated using average real variability, standard deviation and coefficient of variation. ResultsForty patients were included. Bland-Altman and Taffe methods demonstrated a proportional bias, in which low systolic BPs are overestimated, and high BPs are underestimated. Diastolic BPs were all overestimated, with increasing bias toward lower BPs. Sensitivity and specificity for detecting systolic and/or diastolic hypertension were 83 and 41%, respectively. ROC curves demonstrate an area under the curve (AUC) of 0.78 for systolic hypertension and of 0.93 for diastolic hypertension. BP variability was systematically higher in the ABPM measurements compared to the smartwatch measurements. ConclusionThis study demonstrates that the BP measurements by the Samsung Galaxy Watch Active 2 show a systematic bias toward a calibration point, overestimating low BPs and underestimating high BPs, when investigated in both normotensive and hypertensive patients. Standards for traditional non-invasive sphygmomanometers are not met, but these standards are not fully applicable to cuffless devices, emphasizing the urgent need for new standards for cuffless devices. The smartwatch-based BP measurement is not yet ready for clinical usage. Future studies are needed to further validate wearable devices, and also to demonstrate new possibilities of non-invasive, high-frequency BP monitoring.
引用
收藏
页数:11
相关论文
共 27 条
[1]   Correlation of Blood Pressure Variability as Measured By Clinic, Self-measurement at Home, and Ambulatory Blood Pressure Monitoring [J].
Abellan-Huerta, Jos ;
Prieto-Valiente, Luis ;
Montoro-Garcia, Silvia ;
Abellan-Aleman, Jos ;
Soria-Arcos, Federico .
AMERICAN JOURNAL OF HYPERTENSION, 2018, 31 (03) :305-312
[2]  
Bland JM, 1999, STAT METHODS MED RES, V8, P135, DOI 10.1177/096228029900800204
[3]   Validation of Blood Pressure Device Accuracy: When the Bottom Line Is Not Enough [J].
Cohen, Jordana B. ;
Brady, Tammy M. .
CIRCULATION, 2022, 145 (02) :94-96
[4]  
Dey J, 2018, IEEE ENG MED BIO, P5002, DOI 10.1109/EMBC.2018.8513189
[5]   The use of photoplethysmography for assessing hypertension [J].
Elgendi, Mohamed ;
Fletcher, Richard ;
Liang, Yongbo ;
Howard, Newton ;
Lovell, Nigel H. ;
Abbott, Derek ;
Lim, Kenneth ;
Ward, Rabab .
NPJ DIGITAL MEDICINE, 2019, 2 (1)
[6]   Digital Health in Cardiac Rehabilitation and Secondary Prevention: A Search for the Ideal Tool [J].
Falter, Maarten ;
Scherrenberg, Martijn ;
Dendale, Paul .
SENSORS, 2021, 21 (01) :1-11
[7]  
Ibrahim B., 2022, SCI REP-UK, V12, P1
[8]   The 2020 "WHO Technical Specifications for Automated Non-Invasive Blood Pressure Measuring Devices With Cuff" [J].
John, Oommen ;
Campbell, Norm R. C. ;
Brady, Tammy M. ;
Farrell, Margret ;
Varghese, Cherian ;
Berumen, Adriana Velazquez ;
Gaitan, Laura A. Velez Ruiz ;
Toffelmire, Nicola ;
Ameel, Mohammad ;
Mideksa, Mulugeta ;
Jaffe, Marc G. ;
Schutte, Aletta E. ;
Khan, Taskeen ;
Lopez Meneses, Laura Patricia .
HYPERTENSION, 2021, 77 (03) :806-812
[9]   Management of Hypertension in the Digital Era Small Wearable Monitoring Devices for Remote Blood Pressure Monitoring [J].
Kario, Kazuomi .
HYPERTENSION, 2020, 76 (03) :640-650
[10]   Integration of novel monitoring devices with machine learning technology for scalable cardiovascular management [J].
Krittanawong, Chayakrit ;
Rogers, Albert J. ;
Johnson, Kipp W. ;
Wang, Zhen ;
Turakhia, Mintu P. ;
Halperin, Jonathan L. ;
Narayan, Sanjiv M. .
NATURE REVIEWS CARDIOLOGY, 2021, 18 (02) :75-91