Novel wearable and contactless heart rate, respiratory rate, and oxygen saturation monitoring devices: a systematic review and meta-analysis

被引:16
|
作者
Chan, P. Y. [1 ]
Ryan, N. P. [1 ]
Chen, D. [1 ]
McNeil, J. [2 ]
Hopper, I [2 ]
机构
[1] Eastern Hlth, Dept Intens Care Med, Melbourne, Vic, Australia
[2] Monash Univ, Sch Publ Hlth & Prevent Med, Melbourne, Vic, Australia
基金
英国医学研究理事会;
关键词
clinical monitoring; contactless devices; infrared; wearable devices; EMERGENCY-DEPARTMENT; ATRIAL-FIBRILLATION; ACOUSTIC METHOD; ACCURACY; VALIDATION; PHOTOPLETHYSMOGRAPHY; CAPNOGRAPHY; ANESTHESIA; AGREEMENT; PRESSURE;
D O I
10.1111/anae.15834
中图分类号
R614 [麻醉学];
学科分类号
100217 ;
摘要
We performed a systematic review and meta-analysis to identify, classify and evaluate the body of evidence on novel wearable and contactless devices that measure heart rate, respiratory rate and oxygen saturations in the clinical setting. We included any studies of hospital inpatients, including sleep study clinics. Eighty-four studies were included in the final review. There were 56 studies of wearable devices and 29 of contactless devices. One study assessed both types of device. A high risk of patient selection and rater bias was present in proportionally more studies assessing contactless devices compared with studies assessing wearable devices (p = 0.023 and p < 0.0001, respectively). There was high but equivalent likelihood of blinding bias between the two types of studies (p = 0.076). Wearable device studies were commercially available devices validated in acute clinical settings by clinical staff and had more real-time data analysis (p = 0.04). Contactless devices were more experimental, and data were analysed post-hoc. Pooled estimates of mean (95%CI) heart rate and respiratory rate bias in wearable devices were 1.25 (-0.31-2.82) beats.min(-1) (pooled 95% limits of agreement -9.36-10.08) and 0.68 (0.05-1.32) breaths.min(-1) (pooled 95% limits of agreement -5.65-6.85). The pooled estimate for mean (95%CI) heart rate and respiratory rate bias in contactless devices was 2.18 (3.31-7.66) beats.min(-1) (pooled limits of agreement -6.71-10.88) and 0.30 (-0.26-0.87) breaths.min(-1) (pooled 95% limits of agreement -3.94-4.29). Only two studies of wearable devices measured SpO2; these reported mean measurement biases of 3.54% (limits of agreement -5.65-11.45%) and 2.9% (-7.4-1.7%). Heterogeneity was observed across studies, but absent when devices were grouped by measurement modality and reference standard. We conclude that, while studies of wearable devices were of slightly better quality than contactless devices, in general all studies of novel devices were of low quality, with small (< 100) patient datasets, typically not blinded and often using inappropriate statistical techniques. Both types of devices were statistically equivalent in accuracy and precision, but wearable devices demonstrated less measurement bias and more precision at extreme vital signs. The statistical variability in precision and accuracy between studies is partially explained by differences in reference standards.
引用
收藏
页码:1268 / 1280
页数:13
相关论文
共 50 条
  • [31] Pre-ictal heart rate changes: A systematic review and meta-analysis
    Bruno, Elisa
    Biondi, Andrea
    Richardson, Mark P.
    SEIZURE-EUROPEAN JOURNAL OF EPILEPSY, 2018, 55 : 48 - 56
  • [32] Resting Heart Rate as a Predictor of Cancer Mortality: A Systematic Review and Meta-Analysis
    Pozuelo-Carrascosa, Diana P.
    Cavero-Redondo, Ivan
    Lee, I. M.
    Alvarez-Bueno, Celia
    Reina-Gutierrez, Sara
    Martinez-Vizcaino, Vicente
    JOURNAL OF CLINICAL MEDICINE, 2021, 10 (07)
  • [33] A systematic review and meta-analysis of heart rate variability in epilepsy and antiepileptic drugs
    Lotufo, Paulo A.
    Valiengo, Leandro
    Bensenor, Isabela M.
    Brunoni, Andre R.
    EPILEPSIA, 2012, 53 (02) : 272 - 282
  • [34] The role of heart rate variability in predicting delirium: A systematic review and meta-analysis
    Patel, Krisha Amit
    Sethi, Ansh
    Al Azazi, Emad
    McClurg, Caitlin
    Chowdhury, Tumul
    JOURNAL OF CLINICAL NEUROSCIENCE, 2024, 124 : 122 - 129
  • [35] Heart rate variability in individuals with Down syndrome - A systematic review and meta-analysis
    de Carvalho, Tatiana Dias
    Massetti, Thais
    da Silva, Talita Dias
    Crocetta, Tania Brusque
    Guarnieri, Regiani
    Marques Vanderlei, Luiz Carlos
    de Mello Monteiro, Carlos Bandeira
    Garner, David M.
    Ferreira, Celso
    AUTONOMIC NEUROSCIENCE-BASIC & CLINICAL, 2018, 213 : 23 - 33
  • [36] Effect of Hyperthyroidism Treatments on Heart Rate Variability: A Systematic Review and Meta-Analysis
    Brusseau, Valentin
    Tauveron, Igor
    Bagheri, Reza
    Ugbolue, Ukadike Chris
    Magnon, Valentin
    Bouillon-Minois, Jean-Baptiste
    Navel, Valentin
    Dutheil, Frederic
    BIOMEDICINES, 2022, 10 (08)
  • [37] Heart rate variability in type 2 diabetes: a systematic review and meta-analysis
    Benichou, T.
    Pereira, B.
    Mermillod, M.
    Pfabigan, D.
    Tauveron, I.
    Maqdasy, S.
    Dutheil, F.
    DIABETOLOGIA, 2018, 61 : S516 - S516
  • [38] Fractal analysis of heart rate variability as a predictor of mortality: A systematic review and meta-analysis
    Sen, Jonathan
    McGill, Darryl
    CHAOS, 2018, 28 (07)
  • [39] Associations of Sedentary Time with Heart Rate and Heart Rate Variability in Adults: A Systematic Review and Meta-Analysis of Observational Studies
    Alansare, Abdullah Bandar
    Bates, Lauren C.
    Stoner, Lee
    Kline, Christopher E.
    Nagle, Elizabeth
    Jennings, J. Richard
    Hanson, Erik D.
    Faghy, Mark A.
    Gibbs, Bethany Barone
    INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2021, 18 (16)
  • [40] Effect of Caffeine and Nitrates Combination on Exercise Performance, Heart Rate and Oxygen Uptake: A Systematic Review and Meta-Analysis
    Gilsanz, Laura
    Del Coso, Juan
    Jimenez-Saiz, Sergio L.
    Pareja-Galeano, Helios
    NUTRIENTS, 2024, 16 (19)