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All Journal TELKOMNIKA (Telecommunication Computing Electronics and Control) Indonesian Journal of Electrical Engineering and Computer Science
Malarvili Balakrishnan
Universiti Teknologi Malaysia
Computer Science & IT

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The Fusion of HRV and EMG Signals for Automatic Gender Recognition during Stepping Exercise Nor Aziyatul Izni Mohd Rosli; Mohd Azizi Abdul Rahman; Malarvili Balakrishnan; Saiful Amri Mazlan; Hairi Zamzuri
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 15, No 2: June 2017
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v15i2.6113

Abstract

In this paper, a new gender recognition approach in accordance with the fusion of features extracted from electromyogram (EMG) and heart rate variability (HRV) during stepping activity using a stair stepper device is proposed. The fusion of EMG and HRV is investigated based on feature fusion approach. The feature fusion is carried out by chaining the feature vector extracted from the EMG and HRV signals. A proposed approach comprises of a sequence of processing steps which are preprocessing, feature extraction, feature selection and the feature fusion. The results demonstrated that the fusion approach had enhanced the performance of gender recognition compared to solely on EMG or HRV for the gender recognition.
The Gender Effects of Heart Rate Variability Response during Short-Term Exercise using Stair Stepper from Statistical Analysis Nor Aziyatul Izni Mohd Rosli; Mohd Azizi Abdul Rahman; Malarvili Balakrishnan; Takashi Komeda; Saiful Amri Mazlan; Hairi Zamzuri
Indonesian Journal of Electrical Engineering and Computer Science Vol 2, No 2: May 2016
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v2.i2.pp359-366

Abstract

This study is aimed to explore the Heart Rate Variability (HRV) response during short-term exercise by stair stepper and to compare the finding between young healthy male and female subjects. The responses were statistically analyzed by applying independent-samples t-test statistical method. The calculation of Coefficient of Variation (CoV (%)) and the slope of the linear regression is used to assess the steadiness of the HRV. Furthermore, the results also demonstrated that female subjects had greater significant p-value of RMSSD feature and significance p-value in a LF feature is greater in male. Thus, the ongoing results demonstrated that males have the sympathetic drive and females have predominant parasympathetic drive using short-term exercise by stepper. Thus, the experiment results indicate the suitability of developing rehabilitation devices in the field of Autonomic Nervous System (ANS), research, control system and rehabilitation enginering, which may help to isolate males and females.
Co-Authors Hairi Zamzuri Mohd Azizi Abdul Rahman Nor Aziyatul Izni Mohd Rosli Saiful Amri Mazlan Takashi Komeda