Detection of Diabetes Using 1D Convolutional Neural Network from Short Time PPG Signal-Reference-Cited by-同舟云学术

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Detection of Diabetes Using 1D Convolutional Neural Network from Short Time PPG Signal

Published:2023-09-21 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Information and Communication Technology for Sustainable Development (ICICT4SD)
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Author:

Sumon Md. Shaheenur Islam¹,Ahmed Tasmir²,Khan Muntakim Mahmud²,Mahedi Md. Mezbah Ahmed³,Shuzan Md Nazmul Islam⁴,Al Nahian Md Jaber³

Affiliation:

1. Military Institute of Science and Technology,Department of Biomedical Engineering,Dhaka,Bangladesh

2. University of Dhaka,Department of Biomedical Physics & Technology,Dhaka,Bangladesh

3. Bangladesh University of Professionals,Department of Information & Communication Technology,Dhaka,Bangladesh

4. Electronic & Systems Engineering Universiti Kebangsaan Malaysia,Department of Electrical,Selangor,Malaysia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10303002/10303032/10303575.pdf?arnumber=10303575

Reference27 articles.

1. Diabetic diagnose test based on PPG signal and identification system

2. One-Minute Finger Pulsation Measurement for Diabetes Rapid Screening with 1.3% to 13% False-Negative Prediction Rate

3. A Machine Learning Approach to Predict Diabetes Using Short Recorded Photoplethysmography and Physiological Characteristics

4. Type 2 Diabetes Screening Test by Means of a Pulse Oximeter

5. NABNet: A Nested Attention-guided BiConvLSTM network for a robust prediction of Blood Pressure components from reconstructed Arterial Blood Pressure waveforms using PPG and ECG signals

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