Power spectrum density based analysis of photoplethymographic signal for different physiological conditions

QR Code

Power spectrum density based analysis of photoplethymographic signal for different physiological conditions

This paper investigates to represent and analyze the Photolythsmographic (PPG) signal on the basis of the Power Spectral Density (PSD) as parameter for the varying physiological conditions. An infra-red optical-sensing device is placed on the finger tip used to sense the blood variation measurement...

Full description

Bibliographic Details
Main Authors:	Shah, Mansoor Hussain, Kazmi, Syed Absar, Sidek, Khairul Azami, Khan, Sheroz, Iqbal, Fatema-tuz-Zohra
Format:	Proceeding Paper
Language:	English English
Published:	IEEE 2014
Subjects:	TK7885 Computer engineering
Online Access:	http://irep.iium.edu.my/41646/ http://irep.iium.edu.my/41646/1/41646.pdf http://irep.iium.edu.my/41646/4/41646_Power%20spectrum%20density_scopus.pdf

Similar Items

Photoplethysmographic based heart rate variability for different physiological conditions
by: Shah, Mansoor Hussain, et al.
Published: (2014)

Cardioid graph based ECG biometric recognition incorporating physiological variability
by: Iqbal, Fatema-tuz-Zohra, et al.
Published: (2014)

Cardioid graph based ECG biometric using compressed QRS complex
by: Iqbal, Fatema-tuz-Zohra, et al.
Published: (2015)

Compressed ECG biometric using cardioid graph based feature extraction
by: Iqbal, Fatema-tuz-Zohra, et al.
Published: (2015)

Spectrum analysis of physiological signals of human activities
by: Kazmi, Syed Absar, et al.
Published: (2015)

Cardioid graph based ECG biometric in varying physiological conditions using compressed QRS
by: Mohd Azam, Siti Nurfarah Ain, et al.
Published: (2020)

Measurement of photoplethysmography signal for heart rate variability and comparison of two different age groups
by: Shah, Mansoor Hussain, et al.
Published: (2015)

Respiratory Rate (RR) based analysis of PPG signal for different physiological conditions
by: Kazmi, Syed Absar, et al.
Published: (2015)

Automobile driver recognition under different physiological conditions using the electrocardiogram
by: Sidek, Khairul Azami, et al.
Published: (2011)

A comparative analysis of QRS and cardioid graph based ECG biometric recognition in different physiological conditions
by: Iqbal, Fatema-tuz-Zohra, et al.
Published: (2014)

ECG biometric recognition in different physiological conditions using robust normalized QRS complexes
by: Sidek, Khairul Azami, et al.
Published: (2012)

ECG biometric recognition in different physiological conditions using robust normalized QRS complexes
by: Sidek, Khairul Azami, et al.
Published: (2012)

Development of a photoplethysmography signal processing method for oxygen measurement concentration
by: Ahmed, Waiz, et al.
Published: (2015)

Poincare based PPG signal analysis for varying physiological states
by: Kazmi , Syed Absar, et al.
Published: (2016)

Biometric sample extraction using Mahalanobis distance in cardioid based graph using electrocardiogram signals
by: Sidek, Khairul Azami, et al.
Published: (2012)

Identical and fraternal twin recognition using photoplethysmogram signals
by: Mohammed Nadzri, NurIzzati, et al.
Published: (2017)

Heart abnormality detection using acceleration plethysmogram signal
by: Hussin, Khalida, et al.
Published: (2018)

Stress recognition using photoplethysmogram signal
by: Abd Halim, Noor Hafizah Azlin, et al.
Published: (2017)

Development of fatigue detection technique using photoplethysmogram signal
by: Sidek, Khairul Azami, et al.
Published: (2019)

The study of PPG and APG signals for biometric recognition
by: Sidek, Khairul Azami, et al.
Published: (2018)

Biometric identification for twins using photoplethysmogram signals
by: Mohammed Nadzr, Nur Izzati, et al.
Published: (2017)

Portable health monitoring kit using photolethysmogram signal
by: Jamal, Nur Firda Ayu, et al.
Published: (2019)

Cardiac irregularity detection using photoplethysmogram signal
by: Umadi, Lina Fadhilah, et al.
Published: (2016)

ECG biometric with abnormal cardiac conditions in remote monitoring system
by: Sidek, Khairul Azami, et al.
Published: (2014)

Heart abnormality detection technique using PPG signal
by: Umadi, L.F., et al.
Published: (2016)

Biometric recognition for twins inconsideration of age variability using PPG signals
by: Mohammed Nadzri, Nur Izzati, et al.
Published: (2018)

Simple and efficient multibiometric technique for subject recognition using multilead electrocardiogram signal
by: Sidek, Khairul Azami, et al.
Published: (2013)

Development of lie detector using photoplethysmogram signal
by: Shariff, Nur Amirah, et al.
Published: (2019)

Stress recognition using photoplethysmogram (PPG) signal incorporating gender and age variability
by: Abd Halim, Noor Hafizah Azlin, et al.
Published: (2019)

Lie detection using acceleration plethysmography signal
by: Sidek, Khairul Azami, et al.
Published: (2018)

Emotion recognition using electroencephalogram signal
by: Mohammad Yosi, Aqila Nur Nadira, et al.
Published: (2019)

Study of emotional variability using photoplethysmogram signal
by: Sidek, Khairul Azami, et al.
Published: (2018)

Health monitoring system using pulse oximeter with remote alert
by: Mahgoub, Mohamed, et al.
Published: (2015)

Enhancement of low sampling frequency recordings for ECG biometric matching using interpolation
by: Sidek, Khairul Azami, et al.
Published: (2013)

Real time PPG data acquisition with GUI based application for HRV measurement
by: Zainal, Nur Izzati, et al.
Published: (2016)

Photoplethysmogram based biometric identification for twins incorporating gender variability
by: Mohammed Nadzri, Nur Izzati, et al.
Published: (2016)

A review of ECG data acquisition for driver drowsiness detection
by: Nor Shahrudin, Nur Shahirah, et al.
Published: (2020)

Wearable smartphone sync wireless remote health monitoring system
by: Abd Razak, Nurul Nabilah, et al.
Published: (2018)

Identification of cardiac autonomic neuropathy patients using cardioid based graph for ECG biometric
by: Sidek, Khairul Azami, et al.
Published: (2011)

Data mining technique on Cardioid graph based ECG biometric authentication
by: Sidek, Khairul Azami, et al.
Published: (2011)