Literature DB >> 25626548

iPhysioMeter: a smartphone photoplethysmograph for measuring various physiological indices.

Kenta Matsumura1, Peter Rolfe, Takehiro Yamakoshi.   

Abstract

iPhysioMeter is a new smartphone application ("App") for the Apple iPhone and iPod touch that allows photoplethysmography (PPG) to be implemented without the need for any additional devices. The resulting signal, the photoplethysmogram, allows the calculation of basic but valuable and frequently used physiological indices such as heart rate (HR) and pulse volume (PV). The design of iPhysioMeter has very much been influenced by a consideration of usability, as is immediately evident from ones first experience with it. However, its apparent simplicity in use should not disguise the need for correct operation, which otherwise might lead to collection of invalid or inaccurate data. There are several unexpected pitfalls that might not only produce inaccurate values, but, under some circumstances, could also damage the device or present a hazard to the user or subject. We therefore describe here, firstly, the core technology that makes it possible to perform PPG and to calculate HR and normalized PV (NPV) from the photoplethysmogram using only a smartphone, secondly, the correct and optimum methods and procedures for using iPhysioMeter that will help to ensure safety and the derivation of valid data under real operational conditions. We hope that these descriptions will help facilitate any activities related to physiological measurement when using only a smartphone.

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Year:  2015        PMID: 25626548     DOI: 10.1007/978-1-4939-2172-0_21

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  5 in total

1.  An Objective Screening Method for Major Depressive Disorder Using Logistic Regression Analysis of Heart Rate Variability Data Obtained in a Mental Task Paradigm.

Authors:  Guanghao Sun; Toshikazu Shinba; Tetsuo Kirimoto; Takemi Matsui
Journal:  Front Psychiatry       Date:  2016-11-04       Impact factor: 4.157

2.  Measurement of electrocardiograms in a bath through tap water utilizing capacitive coupling electrodes placed outside the bathtub wall.

Authors:  Kosuke Motoi; Yasuhiro Yamakoshi; Takehiro Yamakoshi; Hiroaki Sakai; Naoto Tanaka; Ken-Ichi Yamakoshi
Journal:  Biomed Eng Online       Date:  2017-01-11       Impact factor: 2.819

3.  Prediction of vascular aging based on smartphone acquired PPG signals.

Authors:  Lorenzo Dall'Olio; Nico Curti; Daniel Remondini; Yosef Safi Harb; Folkert W Asselbergs; Gastone Castellani; Hae-Won Uh
Journal:  Sci Rep       Date:  2020-11-12       Impact factor: 4.379

4.  Integrating Sphere Finger-Photoplethysmography: Preliminary Investigation towards Practical Non-Invasive Measurement of Blood Constituents.

Authors:  Takehiro Yamakoshi; Jihyoung Lee; Kenta Matsumura; Yasuhiro Yamakoshi; Peter Rolfe; Daiki Kiyohara; Ken-ichi Yamakoshi
Journal:  PLoS One       Date:  2015-12-04       Impact factor: 3.240

5.  Cuffless blood pressure estimation using only a smartphone.

Authors:  Kenta Matsumura; Peter Rolfe; Sogo Toda; Takehiro Yamakoshi
Journal:  Sci Rep       Date:  2018-05-08       Impact factor: 4.379

  5 in total

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