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Innovative non-contact r-r intervals estimation using viterbi algorithm with Squared Branch Metric (VSBM) Zar, Win Thu; Tun, Hla Myo; Win, Lei Lei Yin; Naing, Zaw Min
Jurnal Pendidikan Teknologi Kejuruan Vol 7 No 1 (2024): Regular Issue
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/jptk.v7i1.35623

Abstract

Non-contact heartbeat detection with Doppler sensor is a critical component of remote health monitoring systems, enabling continuous and unobtrusive monitoring of an individual’s cardiovascular health. This paper reported an innovative approach for non-contact heartbeat detection using the Viterbi algorithm, leveraging the distribution of the difference of two adjacent R-R Intervals (RRIs). RRIs represented the time between successive peaks in the electrocardiogram (ECG) signal and are fundamental in analyzing heart rate variability, mental stress conditions and heart diseases. Numerous non-contact Doppler sensor-based methods have been proposed for heartbeat detection, leveraging the evaluation of RRIs without physical device attachment. However, challenges arise from unwanted peaks caused by respiration and slight body movements, even when the subject remains motionless with normal breathing. This study presented an innovative approach for selecting heartbeat peaks utilizing the Viterbi algorithm with the squared difference of two adjacent RRIs as the Branch Metric (BM). The preliminary experiments revealed that the difference between two adjacent RRIs closely follows a Gaussian distribution. Building upon this observation, this paper considered the Viterbi algorithm with Squared Branch Metric (VSBM) to estimate the heartbeat accurately. To assess the accuracy of peak selection method, an experiment was conducted by comparing it with two existing peak detection methods: (i) Doppler output after Low-Pass Filter (LPF)-based method and (ii) Spectrogram-based method. Results demonstrate that the proposed VSBM method is effective to detect the heartbeat accurately for each peak detection method. Furthermore, a comparison of the performance of “Spectrogram + VSBM” outperforms the “Doppler output after LPF + VSBM” method by the Root-Mean-Square Error (RMSE) of RRIs.
Design, fabrication and measurement of metal-semiconductor field effect transistor based on zinc oxide material Tun, Hla Myo; Wulansari, Rizky Ema; Pradhan, Devasis; Naing, Zaw Min
Journal of Engineering Researcher and Lecturer Vol. 2 No. 3 (2023): Regular Issue
Publisher : Researcher and Lecturer Society

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58712/jerel.v2i3.103

Abstract

The paper mainly focuses on the design, fabrication and measurement on Zinc Oxide (ZnO)-based Metal-Semiconductor Field Effect Transistor. The research problem in this study is difficulty on observing the electronic properties of ZnO materials to fabricate the high performance transistor design with non-toxic semiconductor materials. Even though the wide band gap materials of Group III and V possess high performance properties for fabricating the power electronics devices, the harmful impacts could not be reduced. The research solution for the problem statement in this study is emphasized on the non-toxic materials of Group II and VI-based high performance power electronics devices fabrication. The experimental studies of the device fabrication were conducted by Pulse Laser Deposition (PLD) process in standard laboratory. The step-by-step procedures for MSFET device fabrication were discussed and the confirmation of developed device fabrication was completed. The approaches on all measurement were completed based on band diagram condition, quantum interference on metal-semiconductor materials, and current-voltage characteristics. The step by step measurement for fabricated device for the proposed structure could be confirmed by standard measurement techniques. The proposed design has been validated for the utilization of high performance applications. The physical properties and physical characteristics for measurement results were confirmed by the theoretical analyses. The numerical analyses have been completed with the help of MATLAB. All results have been proved by recent research works.
Design, fabrication and measurement of metal-semiconductor field effect transistor based on zinc oxide material Tun, Hla Myo; Wulansari, Rizky Ema; Pradhan, Devasis; Naing, Zaw Min
Journal of Engineering Researcher and Lecturer Vol. 2 No. 3 (2023): Regular Issue
Publisher : Researcher and Lecturer Society

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58712/jerel.v2i3.103

Abstract

The paper mainly focuses on the design, fabrication and measurement on Zinc Oxide (ZnO)-based Metal-Semiconductor Field Effect Transistor. The research problem in this study is difficulty on observing the electronic properties of ZnO materials to fabricate the high performance transistor design with non-toxic semiconductor materials. Even though the wide band gap materials of Group III and V possess high performance properties for fabricating the power electronics devices, the harmful impacts could not be reduced. The research solution for the problem statement in this study is emphasized on the non-toxic materials of Group II and VI-based high performance power electronics devices fabrication. The experimental studies of the device fabrication were conducted by Pulse Laser Deposition (PLD) process in standard laboratory. The step-by-step procedures for MSFET device fabrication were discussed and the confirmation of developed device fabrication was completed. The approaches on all measurement were completed based on band diagram condition, quantum interference on metal-semiconductor materials, and current-voltage characteristics. The step by step measurement for fabricated device for the proposed structure could be confirmed by standard measurement techniques. The proposed design has been validated for the utilization of high performance applications. The physical properties and physical characteristics for measurement results were confirmed by the theoretical analyses. The numerical analyses have been completed with the help of MATLAB. All results have been proved by recent research works.
Innovative non-contact r-r intervals estimation using viterbi algorithm with Squared Branch Metric (VSBM) Zar, Win Thu; Tun, Hla Myo; Win, Lei Lei Yin; Naing, Zaw Min
Jurnal Pendidikan Teknologi Kejuruan Vol 7 No 1 (2024): Regular Issue
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/jptk.v7i1.35623

Abstract

Non-contact heartbeat detection with Doppler sensor is a critical component of remote health monitoring systems, enabling continuous and unobtrusive monitoring of an individual’s cardiovascular health. This paper reported an innovative approach for non-contact heartbeat detection using the Viterbi algorithm, leveraging the distribution of the difference of two adjacent R-R Intervals (RRIs). RRIs represented the time between successive peaks in the electrocardiogram (ECG) signal and are fundamental in analyzing heart rate variability, mental stress conditions and heart diseases. Numerous non-contact Doppler sensor-based methods have been proposed for heartbeat detection, leveraging the evaluation of RRIs without physical device attachment. However, challenges arise from unwanted peaks caused by respiration and slight body movements, even when the subject remains motionless with normal breathing. This study presented an innovative approach for selecting heartbeat peaks utilizing the Viterbi algorithm with the squared difference of two adjacent RRIs as the Branch Metric (BM). The preliminary experiments revealed that the difference between two adjacent RRIs closely follows a Gaussian distribution. Building upon this observation, this paper considered the Viterbi algorithm with Squared Branch Metric (VSBM) to estimate the heartbeat accurately. To assess the accuracy of peak selection method, an experiment was conducted by comparing it with two existing peak detection methods: (i) Doppler output after Low-Pass Filter (LPF)-based method and (ii) Spectrogram-based method. Results demonstrate that the proposed VSBM method is effective to detect the heartbeat accurately for each peak detection method. Furthermore, a comparison of the performance of “Spectrogram + VSBM” outperforms the “Doppler output after LPF + VSBM” method by the Root-Mean-Square Error (RMSE) of RRIs.