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Hyperuricemia Prediction Using Photoplethysmogram and Arteriograph

Computers, Materials & Continua 2022年第4期71卷 287-304页

作者： Hafifah Ab Hamid Nazrul Anuar Nayan Mohd Zubir Suboh Nurin Izzati Mohamad Azizul Mohamad Nazhan Mohd Nizar Amilia Aminuddin Mohd Shahrir Mohamed Said Saharuddin Ahmad Department of Electrical Electronic and SystemsFaculty of Engineering and Built EnvironmentUniversiti Kebangsaan MalaysiaBangi43600Malaysia Department of Physiology Faculty of MedicineUniversiti Kebangsaan MalaysiaCheras56000Malaysia Department of Medicine Faculty of MedicineUniversiti Kebangsaan MalaysiaCheras56000Malaysia Family Medicine Department Faculty of MedicineUniversiti Kebangsaan MalaysiaCheras56000Malaysia

Hyperuricemia is an alarming issue that contributes to cardiovascular *** acid(UA)level was proven to be related to pulse wave velocity,a marker of arterial stiffness.A hyperuricemia prediction method utilizing photoplethysmogram(ppg)and arteriograph by using machine learning(ML)is *** the literature search,there is no available papers found that relates ppg with UA level even though ppg is highly associated with vessel *** five phases in this research are data collection,signal preprocessing including denoising and signal quality indexes,features extraction for ppg and SDppg waveform,statistical analysis for feature selection and classification of UA levels using *** ppg to the current arteriograph able to reduce cost and increase the prediction *** and arteriograph data were measured from 113 subjects,and 226 sets of data were collected from the left and right hands of the *** performance of four types of ML,namely,artificial neural network(ANN),linear discriminant analysis(LDA),k-nearest neighbor(kNN),and support vector machine(SVM)in predicting hyperuricemia was *** the total of 98 features extracted,16 features of which showed statistical significance for hyper and *** gives the best performance compared to the other three ML techniques with 91.67%,95.45%,and 94.12%for sensitivity,specificity,and accuracy,*** from ppg and arteriograph able to be used to predict hyperuricemia accurately and *** study is the first to find the relationship of ppg with *** shows a significant relation between ppg signals and arteriograph data toward the UA *** proposed method of UA prediction shows its potential for noninvasive preliminary assessment.

关键词： ppg arteriograph second derivative of ppg hyperuricemia ML

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