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All Journal Jurnal Pendidikan Teknologi dan Kejuruan Journal of Computer-based Instructional Media
Zar, Win Thu
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Engineering

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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.
Unlocking the limitedness on promotion: Augmenting a web-based mobile promotional media for delivery services at a homeware company Normaliza, Normaliza; Adi, Novi Hendri; Putri, Weni Lestari; Zar, Win Thu
Journal of Computer-based Instructional Media Vol. 2 No. 2 (2024): Regular Issue
Publisher : Researcher and Lecturer Society

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58712/jcim.v2i2.131

Abstract

As information technology develops, the utilization of the internet as a business platform has increased significantly, allowing companies to promote their products and services more widely and efficiently. This research explores the development of a mobile website for a homeware company in Batam, which currently relies on online platforms such as Shopee and Tokopedia. This dependency causes limitations in reaching customers optimally. Therefore, this research proposes the development of mobile web-based promotional media using the Waterfall method, which includes the stages of need analysis, system design, implementation, testing, and maintenance. This method was chosen to ensure a systematic approach in designing and developing a responsive and appropriate website. Using Unified Modeling Language (UML) in system design possibly allows clear visualization and effective stakeholder communication. The implementation conducted by employing PHP, MySQL, and CodeIgniter framework resulted in a website which is expected to be able to fulfil the functional and non-functional needs of the company. The results show that developing this mobile web-based promotion system can potentially increase the company's market reach and operational efficiency as well as provide easy access for customers. This research provides an innovative model for similar companies to adopt digital technology to improve their business competitiveness.
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.
Co-Authors Naing, Zaw Min Normaliza, Normaliza Novi Hendri Adi Putri, Weni Lestari Tun, Hla Myo Win, Lei Lei Yin