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Nuryani, Nuryani, Utomo, Trio Pambudi, Wiyono, Nanang, Sutomo, Artono Dwijo, Ling, Steve. (1402). Cuffless Hypertension Detection using Swarm Support Vector Machine Utilizing Photoplethysmogram and Electrocardiogram. سامانه مدیریت نشریات علمی, 13(5), 477-488. doi: 10.31661/jbpe.v0i0.2206-1504
Nuryani Nuryani; Trio Pambudi Utomo; Nanang Wiyono; Artono Dwijo Sutomo; Steve Ling. "Cuffless Hypertension Detection using Swarm Support Vector Machine Utilizing Photoplethysmogram and Electrocardiogram". سامانه مدیریت نشریات علمی, 13, 5, 1402, 477-488. doi: 10.31661/jbpe.v0i0.2206-1504
Nuryani, Nuryani, Utomo, Trio Pambudi, Wiyono, Nanang, Sutomo, Artono Dwijo, Ling, Steve. (1402). 'Cuffless Hypertension Detection using Swarm Support Vector Machine Utilizing Photoplethysmogram and Electrocardiogram', سامانه مدیریت نشریات علمی, 13(5), pp. 477-488. doi: 10.31661/jbpe.v0i0.2206-1504
Nuryani, Nuryani, Utomo, Trio Pambudi, Wiyono, Nanang, Sutomo, Artono Dwijo, Ling, Steve. Cuffless Hypertension Detection using Swarm Support Vector Machine Utilizing Photoplethysmogram and Electrocardiogram. سامانه مدیریت نشریات علمی, 1402; 13(5): 477-488. doi: 10.31661/jbpe.v0i0.2206-1504

Cuffless Hypertension Detection using Swarm Support Vector Machine Utilizing Photoplethysmogram and Electrocardiogram

Journal of Biomedical Physics and Engineering
دوره 13، شماره 5، آذر و دی 2023، صفحه 477-488    اصل مقاله (962.4 K)
نوع مقاله: Original Research
شناسه دیجیتال (DOI): 10.31661/jbpe.v0i0.2206-1504
نویسندگان
Nuryani Nuryani* 1؛ Trio Pambudi Utomo2؛ Nanang Wiyono3؛ Artono Dwijo Sutomo2؛ Steve Ling4
1Department of Physics, University of Sebelas Maret Jl. Ir. Sutami 36A Kentingan Jebres Surakarta 57126, Indonesia
2Department of Physics, Graduate Program, University of Sebelas Maret Jl. Ir. Sutami 36A Kentingan Jebres Surakarta 57126, Indonesia
3Faculty of Medicine, University of Sebelas Maret Jl. Ir. Sutami 36A Kentingan Jebres Surakarta 57126, Indonesia
4Centre for Health Technologies, University of Technology Sydney, Broadway NSW 2007, Australia
چکیده
Background: Hypertension is associated with severe complications, and its detection is important to provide early information about a hypertension event, which is essential to prevent further complications.
Objective: This study aimed to investigate a strategy for hypertension detection without a cuff using parameters of bioelectric signals, i.e., Electrocardiogram (ECG), Photoplethysmogram (PPG,) and an algorithm of Swarm-based Support Vector Machine (SSVM).
Material and Methods: This experimental study was conducted to develop a hypertension detection system. ECG and PPG bioelectrical records were collected from the Medical Information Mart for Intensive Care (MIMIC) from normal and hypertension participants and processed to find the parameters, used for the inputs of SSVM and comprised Pulse Arrival Time (PAT) and the characteristics of PPG signal derivatives. The SSVM was n Support Vector Machine (SVM) algorithm optimized using particle swarm optimization with Quantum Delta-potential-well (QDPSO). The SSVMs with different inputs were investigated to find the optimal detection performance.
Results: The proposed strategy was performed at 96% in terms of F1-score, accuracy, sensitivity, and specificity with better performance than the other methods tested and methods and also could develop a cuff-free hypertension monitoring system. 
Conclusion: Hypertension using SSVM, ECG, and PPG parameters is acceptably performed. The hypertension detection had lower performance utilizing only PPG than both ECG and PPG.

تازه های تحقیق

Nuryani Nuryani (Google Scholar)

کلیدواژه‌ها
Photoplethysmography؛ Support Vector Machine؛ Medical Informatics
سایر فایل های مرتبط با مقاله
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