Literature DB >> 21096290

A novel method to detect heart beat rate using a mobile phone.

P Pelegris1, K Banitsas, T Orbach, K Marias.   

Abstract

Heart Beat Rate calculation has traditionally been conducted using specialized hardware most commonly in the form of pulse oximeters or Electrocardiogram devices. Even though these methods offer high reliability, they require the users to have special sensor to measure their heart rate. In this paper we propose a system capable of estimating the heart beat rate using just a camera from a commercially available mobile phone. The advantage of this method is that the user does not need specialized hardware and s/he can take a measurement in virtually any place under almost any circumstances. Moreover the measurement provided can be used as a tool for health coaching applications or effective telecare services aimed in enhancing the user's well being.

Mesh:

Year:  2010        PMID: 21096290     DOI: 10.1109/IEMBS.2010.5626580

Source DB:  PubMed          Journal:  Annu Int Conf IEEE Eng Med Biol Soc        ISSN: 2375-7477


  12 in total

1.  Robust efficient estimation of heart rate pulse from video.

Authors:  Shuchang Xu; Lingyun Sun; Gustavo Kunde Rohde
Journal:  Biomed Opt Express       Date:  2014-03-10       Impact factor: 3.732

Review 2.  Photoplethysmography Revisited: From Contact to Noncontact, From Point to Imaging.

Authors:  Yu Sun; Nitish Thakor
Journal:  IEEE Trans Biomed Eng       Date:  2015-09-15       Impact factor: 4.538

3.  Physiological parameter monitoring from optical recordings with a mobile phone.

Authors:  Christopher G Scully; Jinseok Lee; Joseph Meyer; Alexander M Gorbach; Domhnull Granquist-Fraser; Yitzhak Mendelson; Ki H Chon
Journal:  IEEE Trans Biomed Eng       Date:  2011-07-29       Impact factor: 4.538

Review 4.  Functional and Technical Aspects of Self-management mHealth Apps: Systematic App Search and Literature Review.

Authors:  Lyan Alwakeel; Kevin Lano
Journal:  JMIR Hum Factors       Date:  2022-05-25

5.  Toward Ubiquitous Blood Pressure Monitoring via Pulse Transit Time: Theory and Practice.

Authors:  Ramakrishna Mukkamala; Jin-Oh Hahn; Omer T Inan; Lalit K Mestha; Chang-Sei Kim; Hakan Töreyin; Survi Kyal
Journal:  IEEE Trans Biomed Eng       Date:  2015-06-05       Impact factor: 4.538

6.  Monitoring of Heart and Breathing Rates Using Dual Cameras on a Smartphone.

Authors:  Yunyoung Nam; Youngsun Kong; Bersain Reyes; Natasa Reljin; Ki H Chon
Journal:  PLoS One       Date:  2016-03-10       Impact factor: 3.240

7.  Clinical Validation of Heart Rate Apps: Mixed-Methods Evaluation Study.

Authors:  Thijs Vandenberk; Jelle Stans; Christophe Mortelmans; Ruth Van Haelst; Gertjan Van Schelvergem; Caroline Pelckmans; Christophe Jp Smeets; Dorien Lanssens; Hélène De Cannière; Valerie Storms; Inge M Thijs; Bert Vaes; Pieter M Vandervoort
Journal:  JMIR Mhealth Uhealth       Date:  2017-08-25       Impact factor: 4.773

Review 8.  Big Data Management for Healthcare Systems: Architecture, Requirements, and Implementation.

Authors:  Naoual El Aboudi; Laila Benhlima
Journal:  Adv Bioinformatics       Date:  2018-06-21

Review 9.  The use of photoplethysmography for assessing hypertension.

Authors:  Mohamed Elgendi; Richard Fletcher; Yongbo Liang; Newton Howard; Nigel H Lovell; Derek Abbott; Kenneth Lim; Rabab Ward
Journal:  NPJ Digit Med       Date:  2019-06-26

10.  Enhancing the Robustness of Smartphone Photoplethysmography: A Signal Quality Index Approach.

Authors:  Ivan Liu; Shiguang Ni; Kaiping Peng
Journal:  Sensors (Basel)       Date:  2020-03-30       Impact factor: 3.576

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