Video plethysmography for contactless blood pressure and heart rate measurement in perioperative care.
Blood pressure
Contactless monitoring
Heart rate
Video plethysmography
Virtual care
Vital sign monitoring
Journal
Journal of clinical monitoring and computing
ISSN: 1573-2614
Titre abrégé: J Clin Monit Comput
Pays: Netherlands
ID NLM: 9806357
Informations de publication
Date de publication:
16 Sep 2023
16 Sep 2023
Historique:
received:
30
05
2023
accepted:
30
08
2023
medline:
16
9
2023
pubmed:
16
9
2023
entrez:
16
9
2023
Statut:
aheadofprint
Résumé
The purpose of this study was to evaluate the feasibility and accuracy of remote Video Plethysmography (VPPG) for contactless measurements of blood pressure (BP) and heart rate (HR) in adult surgical patients in a hospital setting. An iPad Pro was used to record a 1.5-minute facial video of the participant's face and VPPG was used to extract vital signs measurements. A standard medical device (Welch Allyn) was used for comparison to measure BP and HR. Trial registration: NCT05165381. Two-hundred-sixteen participants consented and completed the contactless BP and HR monitoring (mean age 54.1 ± 16.8 years, 58% male). The consent rate was 75% and VPPG was 99% successful in capturing BP and HR. VPPG predicted SBP, DBP, and HR with a measurement bias ± SD, -8.18 ± 16.44 mmHg, - 6.65 ± 9.59 mmHg, 0.09 ± 6.47 beats/min respectively. Pearson's correlation for all measurements between VPPG and standard medical device was significant. Correlation for SBP was moderate (0.48), DBP was weak (0.29), and HR was strong (0.85). Most patients were satisfied with the non-contact technology with an average rating of 8.7/10 and would recommend it for clinical use. VPPG was highly accurate in measuring HR, and is currently not accurate in measuring BP in surgical patients. The VPPG BP algorithm showed limitations in capturing individual variations in blood pressure, highlighting the need for further improvements to render it clinically effective across all ranges. Contactless vital signs monitoring was well-received and earned a high satisfaction score.
Identifiants
pubmed: 37715858
doi: 10.1007/s10877-023-01074-6
pii: 10.1007/s10877-023-01074-6
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Informations de copyright
© 2023. The Author(s), under exclusive licence to Springer Nature B.V.
Références
Association for the Advancement of Medical Instrumentation A. (2002) Cardiac monitors, heart rate meters, and alarms. In: American National Standard (ANSI/AAMI EC13: 2002) Arlington, VA. p 1–87.
Barszczyk A, Lee K. Measuring blood pressure: from cuff to smartphone. Curr Hypertens Rep. 2019;21:1–4.
doi: 10.1007/s11906-019-0990-3
Benedetto S, Caldato C, Greenwood DC, et al. Remote heart rate monitoring-Assessment of the Facereader rPPg by Noldus. PLoS ONE. 2019;14:e0225592.
doi: 10.1371/journal.pone.0225592
pubmed: 31756239
pmcid: 6874325
Bhatia RS, Chu C, Pang A, et al. Virtual care use before and during the COVID-19 pandemic: a repeated cross-sectional study. Can Med Association Open Access J. 2021;9:E107–14.
Bland JM, Altman DG. Agreement between methods of measurement with multiple observations per individual. J Biopharm Stat. 2007;17:571–82.
doi: 10.1080/10543400701329422
pubmed: 17613642
Chai PR, Dadabhoy FZ, Huang H-W, et al. Assessment of the acceptability and feasibility of using mobile robotic systems for patient evaluation. JAMA Netw open. 2021;4:e210667–7.
doi: 10.1001/jamanetworkopen.2021.0667
pubmed: 33662134
pmcid: 8058534
Couderc J-P, Kyal S, Mestha LK, et al. Detection of atrial fibrillation using contactless facial video monitoring. Heart Rhythm. 2015;12:195–201.
doi: 10.1016/j.hrthm.2014.08.035
pubmed: 25179488
Eldridge SM, Chan CL, Campbell MJ et al. (2016) CONSORT 2010 statement: extension to randomised pilot and feasibility trials. bmj 355.
Glazier RH, Green ME, Wu FC, et al. Shifts in office and virtual primary care during the early COVID-19 pandemic in Ontario, Canada. CMAJ. 2021;193:E200–10.
doi: 10.1503/cmaj.202303
pubmed: 33558406
pmcid: 7954541
Grossman E, Messerli FH. Hypertension and diabetes. Cardiovasc Diabetology: Clin Metabolic Inflamm Facets. 2008;45:82–106.
Jones C, Taylor K, Poston L, et al. Validation of the Welch Allyn ‘Vital signs’ oscillometric blood pressure monitor. J Hum Hypertens. 2001;15:191–5.
doi: 10.1038/sj.jhh.1001141
pubmed: 11317204
Koo TK, Li MY. A guideline of selecting and reporting intraclass correlation coefficients for reliability research. J Chiropr Med. 2016;15:155–63.
doi: 10.1016/j.jcm.2016.02.012
pubmed: 27330520
pmcid: 4913118
Lewandowska M, Nowak J. Measuring pulse rate with a webcam. J Med Imaging Health Inf. 2012;2:87–92.
doi: 10.1166/jmihi.2012.1064
Lin J, Rozado D, Duenser A. (2015) Improving video based heart rate monitoring. Driving reform: Digital Health is everyone’s business. IOS Press, 146–51.
Liu J, Luo H, Zheng PP, et al. Transdermal optical imaging revealed different spatiotemporal patterns of facial cardiovascular activities. Sci Rep. 2018;8:1–10.
Lu M-J, Zhong W-H, Liu Y-X et al. (2016) Sample size for assessing agreement between two methods of measurement by bland – Altman method. The International Journal of Biostatistics 12.
Luo H, Yang D, Barszczyk A, et al. Smartphone-based blood pressure measurement using transdermal optical imaging technology. Circ Cardiovasc Imaging. 2019;12:e008857.
doi: 10.1161/CIRCIMAGING.119.008857
pubmed: 31382766
Lurie N, Carr BG. The role of telehealth in the medical response to disasters. JAMA Intern Med. 2018;178:745–6.
doi: 10.1001/jamainternmed.2018.1314
pubmed: 29710200
Mcgillion MH, Parlow J, Borges FK et al. (2021) Post-discharge after surgery virtual care with remote automated Monitoring-1 (PVC-RAM-1) technology versus standard care: randomised controlled trial. bmj 374.
Nuralogix Corporation. (2021) The science behind Anura is our patented technology – TOI™. In.
Pham C, Poorzargar K, Nagappa M et al. (2021) Effectiveness of consumer-grade contactless vital signs monitors: a systematic review and meta-analysis. J Clin Monit Comput:1–14.
Primatesta P, Falaschetti E, Gupta S, et al. Association between smoking and blood pressure: evidence from the health survey for England. Hypertension. 2001;37:187–93.
doi: 10.1161/01.HYP.37.2.187
pubmed: 11230269
Schober P, Boer C, Schwarte LA. Correlation coefficients: appropriate use and interpretation. Anesth Analgesia. 2018;126:1763–8.
doi: 10.1213/ANE.0000000000002864
Stergiou GS, Alpert B, Mieke S, et al. A universal standard for the validation of blood pressure measuring devices: Association for the Advancement of Medical Instrumentation/European Society of Hypertension/International Organization for standardization (AAMI/ESH/ISO) collaboration Statement. Hypertension. 2018;71:368–74.
doi: 10.1161/HYPERTENSIONAHA.117.10237
pubmed: 29386350
Sun Y, Azorin-Peris V, Kalawsky R, et al. Use of ambient light in remote photoplethysmographic systems: comparison between a high-performance camera and a low-cost webcam. J Biomed Opt. 2012;17:037005.
doi: 10.1117/1.JBO.17.3.037005
pubmed: 22502577
Wang D, Yang X, Liu X, et al. Detail-preserving pulse wave extraction from facial videos using consume-level camera. Biomedical Opt Express. 2020;11:1876–91.
doi: 10.1364/BOE.380646
Wei B, He X, Zhang C, et al. Non-contact, synchronous dynamic measurement of respiratory rate and heart rate based on dual sensitive regions. Biomed Eng Online. 2017;16:1–21.
doi: 10.1186/s12938-016-0300-0
Wei J, Luo H, Wu SJ, et al. Transdermal optical imaging reveal basal stress via heart rate variability analysis: a novel methodology comparable to electrocardiography. Front Psychol. 2018;9:98.
doi: 10.3389/fpsyg.2018.00098
pubmed: 29472879
pmcid: 5809462
Wosik J, Fudim M, Cameron B, et al. Telehealth transformation: COVID-19 and the rise of virtual care. J Am Med Inform Assoc. 2020;27:957–62.
doi: 10.1093/jamia/ocaa067
pubmed: 32311034
pmcid: 7188147
Yang D, Xiao G, Wei J, et al. Preliminary assessment of video-based blood pressure measurement according to ANSI/AAMI/ISO81060-2: 2013 guideline accuracy criteria: Anura smartphone app with transdermal optimal imaging technology. Blood Press Monit. 2020;25:295–8.
doi: 10.1097/MBP.0000000000000467
pubmed: 32842022
Zhang K, Rashid-Kolvear M, Waseem R, et al. Virtual preoperative assessment in surgical patients: a systematic review and meta-analysis. J Clin Anesth. 2021;75:110540.
doi: 10.1016/j.jclinane.2021.110540
pubmed: 34649158
pmcid: 9759637