{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,4]],"date-time":"2026-05-04T20:04:09Z","timestamp":1777925049165,"version":"3.51.4"},"reference-count":42,"publisher":"MDPI AG","issue":"20","license":[{"start":{"date-parts":[[2022,10,20]],"date-time":"2022-10-20T00:00:00Z","timestamp":1666224000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100004584","name":"the Regional Council of Brittany","doi-asserted-by":"publisher","award":["18004519"],"award-info":[{"award-number":["18004519"]}],"id":[{"id":"10.13039\/501100004584","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004584","name":"the Regional Council of Brittany","doi-asserted-by":"publisher","award":["18004180"],"award-info":[{"award-number":["18004180"]}],"id":[{"id":"10.13039\/501100004584","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Continuous measurement of heart rate variability (HRV) in the short and ultra-short-term using wearable devices allows monitoring of physiological status and prevention of diseases. This study aims to evaluate the agreement of HRV features between a commercial device (Bora Band, Biosency) measuring photoplethysmography (PPG) and reference electrocardiography (ECG) and to assess the validity of ultra-short-term HRV as a surrogate for short-term HRV features. PPG and ECG recordings were acquired from 5 healthy subjects over 18 nights in total. HRV features include time-domain, frequency-domain, nonlinear, and visibility graph features and are extracted from 5 min 30 s and 1 min 30 s duration PPG recordings. The extracted features are compared with reference features of 5 min 30 s duration ECG recordings using repeated-measures correlation, Bland\u2013Altman plots with 95% limits of agreements, Cliff\u2019s delta, and an equivalence test. Results showed agreement between PPG recordings and ECG reference recordings for 37 out of 48 HRV features in short-term durations. Sixteen of the forty-eight HRV features were valid and retained very strong correlations, negligible to small bias, with statistical equivalence in the ultra-short recordings (1 min 30 s). The current study concludes that the Bora Band provides valid and reliable measurement of HRV features in short and ultra-short duration recordings.<\/jats:p>","DOI":"10.3390\/s22207995","type":"journal-article","created":{"date-parts":[[2022,10,21]],"date-time":"2022-10-21T00:34:30Z","timestamp":1666312470000},"page":"7995","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":31,"title":["Validity of Ultra-Short-Term HRV Analysis Using PPG\u2014A Preliminary Study"],"prefix":"10.3390","volume":"22","author":[{"given":"Aline","family":"Taoum","sequence":"first","affiliation":[{"name":"Laboratoire Traitement du Signal et de l\u2019Image (LTSI-Inserm UMR 1099), Universit\u00e9 de Rennes 1, 35042 Rennes, France"}]},{"given":"Alexis","family":"Bisiaux","sequence":"additional","affiliation":[{"name":"Biosency, 35510 Cesson-S\u00e9vign\u00e9, France"}]},{"given":"Florian","family":"Tilquin","sequence":"additional","affiliation":[{"name":"Biosency, 35510 Cesson-S\u00e9vign\u00e9, France"}]},{"given":"Yann","family":"Le Guillou","sequence":"additional","affiliation":[{"name":"Biosency, 35510 Cesson-S\u00e9vign\u00e9, France"}]},{"given":"Guy","family":"Carrault","sequence":"additional","affiliation":[{"name":"Laboratoire Traitement du Signal et de l\u2019Image (LTSI-Inserm UMR 1099), Universit\u00e9 de Rennes 1, 35042 Rennes, France"}]}],"member":"1968","published-online":{"date-parts":[[2022,10,20]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"673","DOI":"10.1007\/s12553-021-00540-y","article-title":"Wearable Devices as a Valid Support for Diagnostic Excellence: Lessons from a Pandemic Going Forward","volume":"11","author":"Cosoli","year":"2021","journal-title":"Health Technol."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"354","DOI":"10.1093\/oxfordjournals.eurheartj.a014868","article-title":"Heart Rate Variability: Standards of Measurement, Physiological Interpretation, and Clinical Use. Task Force of the European Society of Cardiology and the North American Society of Pacing and Electrophysiology","volume":"17","author":"Malik","year":"1996","journal-title":"Eur. Heart J."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"22","DOI":"10.1186\/s40101-016-0113-7","article-title":"The Physiological Basis and Measurement of Heart Rate Variability in Humans","volume":"35","author":"Draghici","year":"2016","journal-title":"J. Physiol. Anthropol."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"214","DOI":"10.1016\/j.jelectrocard.2012.01.002","article-title":"Exercise Training Slows down Heart Rate and Improves Deceleration and Acceleration Capacity in Patients with Heart Failure","volume":"45","author":"Migliaro","year":"2012","journal-title":"J. Electrocardiol."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"2221","DOI":"10.2147\/COPD.S134498","article-title":"Increased Parasympathetic Cardiac Modulation in Patients with Acute Exacerbation of COPD: How Should We Interpret It?","volume":"12","author":"Kabbach","year":"2017","journal-title":"Int. J. Chron. Obstruct. Pulmon. Dis."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"47","DOI":"10.1016\/j.jcma.2017.10.003","article-title":"Changes of Heart Rate Variability Predicting Patients with Acute Exacerbation of Chronic Obstructive Pulmonary Disease Requiring Hospitalization after Emergency Department Treatment","volume":"81","author":"Tseng","year":"2018","journal-title":"J. Chin. Med. Assoc. JCMA"},{"key":"ref_7","unstructured":"GBD 2019 Diseases and Injuries Collaborators (2020). Diseases and Injuries Collaborators Global Burden of 369 Diseases and Injuries in 204 Countries and Territories, 1990\u20132019: A Systematic Analysis for the Global Burden of Disease Study 2019. Lancet, 396, 1204\u20131222."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"31","DOI":"10.1186\/s13561-021-00329-9","article-title":"Cost Analysis of Chronic Obstructive Pulmonary Disease (COPD): A Systematic Review","volume":"11","year":"2021","journal-title":"Health Econ. Rev."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"594880","DOI":"10.3389\/fnins.2020.594880","article-title":"A Critical Review of Ultra-Short-Term Heart Rate Variability Norms Research","volume":"14","author":"Shaffer","year":"2020","journal-title":"Front. Neurosci."},{"key":"ref_10","doi-asserted-by":"crossref","unstructured":"Moraes, J.L., Rocha, M.X., Vasconcelos, G.G., Vasconcelos Filho, J.E., de Albuquerque, V.H.C., and Alexandria, A.R. (2018). Advances in Photopletysmography Signal Analysis for Biomedical Applications. Sensors, 18.","DOI":"10.3390\/s18061894"},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"R1-39","DOI":"10.1088\/0967-3334\/28\/3\/R01","article-title":"Photoplethysmography and Its Application in Clinical Physiological Measurement","volume":"28","author":"Allen","year":"2007","journal-title":"Physiol. Meas."},{"key":"ref_12","first-page":"7","article-title":"Can Wearable Devices Accurately Measure Heart Rate Variability? A Systematic Review","volume":"60","author":"Georgiou","year":"2018","journal-title":"Folia Med."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"1271","DOI":"10.1088\/0967-3334\/31\/9\/015","article-title":"Photoplethysmography Pulse Rate Variability as a Surrogate Measurement of Heart Rate Variability during Non-Stationary Conditions","volume":"31","author":"Gil","year":"2010","journal-title":"Physiol. Meas."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"969","DOI":"10.1007\/s10916-010-9505-0","article-title":"Relationship between Measurement Site and Motion Artifacts in Wearable Reflected Photoplethysmography","volume":"35","author":"Maeda","year":"2011","journal-title":"J. Med. Syst."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"94","DOI":"10.1049\/htl.2017.0090","article-title":"Are Ultra-Short Heart Rate Variability Features Good Surrogates of Short-Term Ones? State-of-the-Art Review and Recommendations","volume":"5","author":"Pecchia","year":"2018","journal-title":"Healthc. Technol. Lett."},{"key":"ref_16","doi-asserted-by":"crossref","unstructured":"Nguyen Phuc Thu, T., Hern\u00e1ndez, A.I., Costet, N., Patural, H., Pichot, V., Carrault, G., and Beuch\u00e9e, A. (2019). Improving Methodology in Heart Rate Variability Analysis for the Premature Infants: Impact of the Time Length. PLoS ONE, 14.","DOI":"10.1371\/journal.pone.0220692"},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"417","DOI":"10.1007\/s40279-019-01061-5","article-title":"The Accuracy of Acquiring Heart Rate Variability from Portable Devices: A Systematic Review and Meta-Analysis","volume":"49","author":"Dobbs","year":"2019","journal-title":"Sports Med."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"1006","DOI":"10.1109\/JBHI.2020.3021662","article-title":"Early Detection of Late Onset Sepsis in Premature Infants Using Visibility Graph Analysis of Heart Rate Variability","volume":"25","author":"Leon","year":"2021","journal-title":"IEEE J. Biomed. Health Inform."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"5980541","DOI":"10.1155\/2017\/5980541","article-title":"An Adaptive and Time-Efficient ECG R-Peak Detection Algorithm","volume":"2017","author":"Qin","year":"2017","journal-title":"J. Healthc. Eng."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"9","DOI":"10.1016\/j.bspc.2014.10.007","article-title":"Artifact Rejection and Cycle Detection in Immature Breathing: Application to the Early Detection of Neonatal Sepsis","volume":"16","author":"Navarro","year":"2015","journal-title":"Biomed. Signal Process. Control"},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"258","DOI":"10.3389\/fpubh.2017.00258","article-title":"An Overview of Heart Rate Variability Metrics and Norms","volume":"5","author":"Shaffer","year":"2017","journal-title":"Front. Public Health"},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"447","DOI":"10.1007\/BF00648343","article-title":"Least-Squares Frequency Analysis of Unequally Spaced Data","volume":"39","author":"Lomb","year":"1976","journal-title":"Astrophys. Space Sci."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"1016","DOI":"10.1109\/JBHI.2016.2553578","article-title":"Inclusion of Respiratory Frequency Information in Heart Rate Variability Analysis for Stress Assessment","volume":"20","author":"Hernando","year":"2016","journal-title":"IEEE J. Biomed. Health Inform."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"79","DOI":"10.1016\/S0165-1838(96)00112-9","article-title":"A New Method of Assessing Cardiac Autonomic Function and Its Comparison with Spectral Analysis and Coefficient of Variation of R-R Interval","volume":"62","author":"Toichi","year":"1997","journal-title":"J. Auton. Nerv. Syst."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"1674","DOI":"10.1016\/S0140-6736(06)68735-7","article-title":"Deceleration Capacity of Heart Rate as a Predictor of Mortality after Myocardial Infarction: Cohort Study","volume":"367","author":"Bauer","year":"2006","journal-title":"Lancet"},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"1289","DOI":"10.1007\/s11517-011-0834-z","article-title":"Asymmetric Properties of Long-Term and Total Heart Rate Variability","volume":"49","author":"Piskorski","year":"2011","journal-title":"Med. Biol. Eng. Comput."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"30001","DOI":"10.1209\/0295-5075\/86\/30001","article-title":"The Visibility Graph: A New Method for Estimating the Hurst Exponent of Fractional Brownian Motion","volume":"86","author":"Lacasa","year":"2009","journal-title":"EPL Europhys. Lett."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"046103","DOI":"10.1103\/PhysRevE.80.046103","article-title":"Horizontal Visibility Graphs: Exact Results for Random Time Series","volume":"80","author":"Luque","year":"2009","journal-title":"Phys. Rev. E Stat. Nonlin. Soft Matter Phys."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"456","DOI":"10.3389\/fpsyg.2017.00456","article-title":"Repeated Measures Correlation","volume":"8","author":"Bakdash","year":"2017","journal-title":"Front. Psychol."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"1026","DOI":"10.21105\/joss.01026","article-title":"Pingouin: Statistics in Python","volume":"3","author":"Vallat","year":"2018","journal-title":"J. Open Source Softw."},{"key":"ref_31","doi-asserted-by":"crossref","unstructured":"Parker, R.A., Weir, C.J., Rubio, N., Rabinovich, R., Pinnock, H., Hanley, J., McCloughan, L., Drost, E.M., Mantoani, L.C., and MacNee, W. (2016). Application of Mixed Effects Limits of Agreement in the Presence of Multiple Sources of Variability: Exemplar from the Comparison of Several Devices to Measure Respiratory Rate in COPD Patients. PLoS ONE, 11.","DOI":"10.1371\/journal.pone.0168321"},{"key":"ref_32","first-page":"101","article-title":"A Critique and Improvement of the CL Common Language Effect Size Statistics of McGraw and Wong","volume":"25","author":"Vargha","year":"2000","journal-title":"J. Educ. Behav. Stat."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"355","DOI":"10.1177\/1948550617697177","article-title":"Equivalence Tests: A Practical Primer for t Tests, Correlations, and Meta-Analyses","volume":"8","author":"Lakens","year":"2017","journal-title":"Soc. Psychol. Personal. Sci."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"e18761","DOI":"10.2196\/18761","article-title":"A Novel Smartphone App for the Measurement of Ultra-Short-Term and Short-Term Heart Rate Variability: Validity and Reliability Study","volume":"8","author":"Chen","year":"2020","journal-title":"JMIR mHealth uHealth"},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"102651","DOI":"10.1016\/j.bspc.2021.102651","article-title":"Reliability of Heart-Rate-Variability Features Derived from Ultra-Short ECG Recordings and Their Validity in the Assessment of Cardiac Autonomic Neuropathy","volume":"68","author":"Wehler","year":"2021","journal-title":"Biomed. Signal. Process. Control"},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"106696","DOI":"10.1016\/j.cmpb.2022.106696","article-title":"Validity and Reliability of Different Smartphones Applications to Measure HRV during Short and Ultra-Short Measurements in Elite Athletes","volume":"217","author":"Zabala","year":"2022","journal-title":"Comput. Methods Programs Biomed."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"837","DOI":"10.1249\/MSS.0000000000001481","article-title":"A Primer on the Use of Equivalence Testing for Evaluating Measurement Agreement","volume":"50","author":"Dixon","year":"2018","journal-title":"Med. Sci. Sports Exerc."},{"key":"ref_38","doi-asserted-by":"crossref","unstructured":"Castaldo, R., Montesinos, L., Melillo, P., James, C., and Pecchia, L. (2019). Ultra-Short Term HRV Features as Surrogates of Short Term HRV: A Case Study on Mental Stress Detection in Real Life. BMC Med. Inform. Decis. Mak., 19.","DOI":"10.1186\/s12911-019-0742-y"},{"key":"ref_39","doi-asserted-by":"crossref","unstructured":"Munoz, M.L., van Roon, A., Riese, H., Thio, C., Oostenbroek, E., Westrik, I., de Geus, E.J.C., Gansevoort, R., Lefrandt, J., and Nolte, I.M. (2015). Validity of (Ultra-)Short Recordings for Heart Rate Variability Measurements. PLoS ONE, 10.","DOI":"10.1371\/journal.pone.0138921"},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"229","DOI":"10.5298\/1081-5937-44.3.09","article-title":"The Promise of Ultra-Short-Term (UST) Heart Rate Variability Measurements","volume":"44","author":"Shaffer","year":"2016","journal-title":"Biofeedback"},{"key":"ref_41","first-page":"814","article-title":"Electronic Evaluation of the Fetal Heart Rate. VIII. Patterns Preceding Fetal Death, Further Observations","volume":"87","author":"Hon","year":"1963","journal-title":"Am. J. Obstet. Gynecol."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"91","DOI":"10.3233\/THC-140777","article-title":"Heart Rate Variability in Patients with Severe Chronic Obstructive Pulmonary Disease in a Home Care Program","volume":"22","author":"Lado","year":"2014","journal-title":"Technol. Health Care"}],"container-title":["Sensors"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1424-8220\/22\/20\/7995\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T00:57:51Z","timestamp":1760144271000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1424-8220\/22\/20\/7995"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,10,20]]},"references-count":42,"journal-issue":{"issue":"20","published-online":{"date-parts":[[2022,10]]}},"alternative-id":["s22207995"],"URL":"https:\/\/doi.org\/10.3390\/s22207995","relation":{},"ISSN":["1424-8220"],"issn-type":[{"value":"1424-8220","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,10,20]]}}}