Literature DB >> 28269383

Design and prototyping of a wristband-type wireless photoplethysmographic device for heart rate variability signal analysis.

M Ghamari, C Soltanpur, S Cabrera, R Romero, R Martinek, H Nazeran.   

Abstract

Heart Rate Variability (HRV) signal analysis provides a quantitative marker of the Autonomic Nervous System (ANS) function. A wristband-type wireless photoplethysmographic (PPG) device was custom-designed to collect and analyze the arterial pulse in the wrist. The proposed device is comprised of an optical sensor to monitor arterial pulse, a signal conditioning unit to filter and amplify the analog PPG signal, a microcontroller to digitize the analog PPG signal, and a Bluetooth module to transfer the data to a smart device. This paper proposes a novel model to represent the PPG signal as the summation of two Gaussian functions. The paper concludes with a verification procedure for HRV signal analysis during sedentary activities.

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Year:  2016        PMID: 28269383      PMCID: PMC5614486          DOI: 10.1109/EMBC.2016.7591842

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  5 in total

Review 1.  Photoplethysmography and its application in clinical physiological measurement.

Authors:  John Allen
Journal:  Physiol Meas       Date:  2007-02-20       Impact factor: 2.833

2.  Wireless photoplethysmographic device for heart rate variability signal acquisition and analysis.

Authors:  Ivan Reyes; Homer Nazeran; Mario Franco; Emily Haltiwanger
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2012

3.  Low heart rate variability in a 2-minute rhythm strip predicts risk of coronary heart disease and mortality from several causes: the ARIC Study. Atherosclerosis Risk In Communities.

Authors:  J M Dekker; R S Crow; A R Folsom; P J Hannan; D Liao; C A Swenne; E G Schouten
Journal:  Circulation       Date:  2000-09-12       Impact factor: 29.690

4.  Assessment of vasoactive agents and vascular aging by the second derivative of photoplethysmogram waveform.

Authors:  K Takazawa; N Tanaka; M Fujita; O Matsuoka; T Saiki; M Aikawa; S Tamura; C Ibukiyama
Journal:  Hypertension       Date:  1998-08       Impact factor: 10.190

Review 5.  On the analysis of fingertip photoplethysmogram signals.

Authors:  Mohamed Elgendi
Journal:  Curr Cardiol Rev       Date:  2012-02
  5 in total
  4 in total

1.  Rapid Prototyping of a Smart Device-based Wireless Reflectance Photoplethysmograph.

Authors:  M Ghamari; C Aguilar; C Soltanpur; H Nazeran
Journal:  Proc South Biomed Eng Conf       Date:  2016-04-28

2.  Physical Wellbeing Monitoring Employing Non-Invasive Low-Cost and Low-Energy Sensor Socks.

Authors:  Laura García; Lorena Parra; Jose M Jimenez; Jaime Lloret
Journal:  Sensors (Basel)       Date:  2018-08-27       Impact factor: 3.576

3.  A Portable, Wireless Photoplethysomography Sensor for Assessing Health of Arteriovenous Fistula Using Class-Weighted Support Vector Machine.

Authors:  Paul C-P Chao; Pei-Yu Chiang; Yung-Hua Kao; Tse-Yi Tu; Chih-Yu Yang; Der-Cherng Tarng; Chin-Long Wey
Journal:  Sensors (Basel)       Date:  2018-11-09       Impact factor: 3.576

Review 4.  Wearable Hardware Design for the Internet of Medical Things (IoMT).

Authors:  Fayez Qureshi; Sridhar Krishnan
Journal:  Sensors (Basel)       Date:  2018-11-07       Impact factor: 3.576

  4 in total

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