Literature DB >> 28140834

Validation of a Standalone Smartphone Application for Measuring Heart Rate Using Imaging Photoplethysmography.

Ming-Zher Poh1, Yukkee C Poh1.   

Abstract

BACKGROUND: The aim of this study was to determine the accuracy of a freely available smartphone application, Cardiio app (Cardiio, Inc., Cambridge, MA), to measure heart rate from the finger or face using imaging photoplethysmography, by comparing against an FDA-cleared pulse oximeter at rest, and after moderate to vigorous exercise.
METHODS: A total of 40 healthy adults participated in this study. Participants engaged in a period of rest, followed by 3 min of moderate to vigorous intensity cycling on a stationary bicycle. Heart rate measurements were obtained from both the finger and face of participants using the Cardiio app at rest, immediately after exercise, 1-2 min after exercise, and 2-3 min after exercise. Concurrent heart rate readings using an FDA-cleared finger pulse oximeter served as the reference measurement.
RESULTS: There was a very strong agreement between heart rate measurements obtained using the Cardiio app and the pulse oximeter, both at rest (r = 0.99 for finger, r = 0.97 for face) and after exercise (r = 0.99 for finger, r = 0.97 for face). At rest, the accuracy of the Cardiio app was ±1.58 beats per minute (bpm) (or ±2.27%) using the finger mode and ±2.28 bpm (or ±3.17%) for the face mode, compared to the pulse oximeter. After moderate to vigorous exercise, the accuracy of the Cardiio app was ±2.97 bpm (or ±2.79%) using the finger mode and ±5.31 bpm (or ±4.50%) for the face mode, compared to the pulse oximeter.
CONCLUSION: The Cardiio app provided accurate heart rate measurements from the finger and face, both at rest and after exercise.

Entities:  

Keywords:  e-health; mobile health; photoplethysmography; pulse rate; smartphone

Mesh:

Year:  2017        PMID: 28140834     DOI: 10.1089/tmj.2016.0230

Source DB:  PubMed          Journal:  Telemed J E Health        ISSN: 1530-5627            Impact factor:   3.536


  7 in total

Review 1.  Measuring Blood Pressure: from Cuff to Smartphone.

Authors:  Andrew Barszczyk; Kang Lee
Journal:  Curr Hypertens Rep       Date:  2019-10-10       Impact factor: 5.369

2.  Contact-Free Screening of Atrial Fibrillation by a Smartphone Using Facial Pulsatile Photoplethysmographic Signals.

Authors:  Bryan P Yan; William H S Lai; Christy K Y Chan; Stephen Chun-Hin Chan; Lok-Hei Chan; Ka-Ming Lam; Ho-Wang Lau; Chak-Ming Ng; Lok-Yin Tai; Kin-Wai Yip; Olivia T L To; Ben Freedman; Yukkee C Poh; Ming-Zher Poh
Journal:  J Am Heart Assoc       Date:  2018-04-05       Impact factor: 5.501

Review 3.  A Broader Look: Camera-Based Vital Sign Estimation across the Spectrum.

Authors:  Christoph Hoog Antink; Simon Lyra; Michael Paul; Xinchi Yu; Steffen Leonhardt
Journal:  Yearb Med Inform       Date:  2019-08-16

4.  An open-source remote heart rate imaging method with practical apparatus and algorithms.

Authors:  Koen M van der Kooij; Marnix Naber
Journal:  Behav Res Methods       Date:  2019-10

5.  Smartphone App (2kmFIT-App) for Measuring Cardiorespiratory Fitness: Validity and Reliability Study.

Authors:  Adria Muntaner-Mas; Antonio Martinez-Nicolas; Alberto Quesada; Cristina Cadenas-Sanchez; Francisco B Ortega
Journal:  JMIR Mhealth Uhealth       Date:  2021-01-08       Impact factor: 4.773

6.  Self-Administered Six-Minute Walk Test Using a Free Smartphone App in Asymptomatic Adults: Reliability and Reproducibility.

Authors:  Matheus Oliveira de Jesus; Thatiane Lopes Valentim Di Paschoale Ostolin; Neli Leite Proença; Rodrigo Pereira da Silva; Victor Zuniga Dourado
Journal:  Int J Environ Res Public Health       Date:  2022-01-20       Impact factor: 3.390

7.  The validity and reliability of an open source biosensing board to quantify heart rate variability.

Authors:  Joel S Burma; Andrew P Lapointe; Ateyeh Soroush; Ibukunoluwa K Oni; Jonathan D Smirl; Jeff F Dunn
Journal:  Heliyon       Date:  2021-05-27
  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.