Diabetic diagnose test based on PPG signal and identification system

Journal of Biomedical Science and Engineering

ISSN Print: 1937-6871
ISSN Online: 1937-688X
www.scirp.net/journal/jbise
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Citations

"Diabetic diagnose test based on PPG signal and identification system"
written by Hadis Karimipour, Heydar Toossian Shandiz, Edmond Zahedi,
published by Journal of Biomedical Science and Engineering, Vol.2 No.6, 2009

has been cited by the following article(s):

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[2]	Presence of hypertension might pose a potential pitfall in detection of diabetes mellitus non-invasively using the second derivative of photoplethysmography
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[3]	Detection of Diabetes Using 1D Convolutional Neural Network from Short Time PPG Signal
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[5]	Non-Invasive Classification of Blood Glucose Level Based on Photoplethysmography Using Time–Frequency Analysis
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[6]	Runtime Monitoring and Statistical Approaches for Correlation Analysis of ECG and PPG
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[7]	A Review of Non-Invasive Monitoring of Blood Glucose Levels Based on Photoplethysmography Signals Using Artificial Intelligence
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[8]	Non-Invasive Classification of Blood Glucose Level for Early Detection Diabetes Based on Photoplethysmography Signal
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[9]	Deduction learning for precise noninvasive measurements of blood glucose with a dozen rounds of data for model training
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[11]	Review of Non-Invasive Blood Glucose Level Estimation based on Photoplethysmography and Artificial Intelligent Technology
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[12]	Everything you wanted to know about noninvasive glucose measurement and control
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[13]	Noncontact Physiological Measurement Using a Camera: A Technical Review and Future Directions
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[14]	A Noninvasive Glucose Monitoring SoC Based on Single Wavelength Photoplethysmography
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[15]	ARX System Identification in Biomedical Applications
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[16]	Digital Volume Pulse Analysis to Differentiate Diabetic From Non-Diabetic Subjects
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[17]	Design and Implementation of a Wearable System for Non-Invasive Glucose Level Monitoring
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[18]	Non-invasive evaluation of coronary heart disease in patients with chronic kidney disease using photoplethysmography
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[19]	iGLU 1.0: An Accurate Non-Invasive Near-Infrared Dual Short Wavelengths Spectroscopy based Glucometer for Smart Healthcare
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[20]	Non‐invasive detection of alcohol concentration based on photoplethysmogram signals
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[21]	Noninvasive Blood Glucose Prediction from Photoplethysmogram Using Relevance Vector Machine
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[22]	FPGA Based Smart System for Non Invasive Blood Glucose Sensing Using Photoplethysmography and Online Correction of Motion Artifact
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[23]	A survey on investigation of vital human parameters from photoplethsmography signal to predict the risk of cardiovascular diseases
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[24]	Non-invasive detection of alcohol concentration based on photoplethysmogram signals
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[25]	Computerized Optical Plethysmography for Data Recording and Processing of Biomedical Signal
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[27]	Cranial PPG Brain Signal based Cardiovascular Parameter Estimation
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[28]	A Robust Algorithm for Real-Time Peak Detection of Photoplethysmograms Using a Personal Computer Mouse
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[29]	FPGA based system for blood glucose sensing using photoplethysmography and online motion artifact correction using adaline
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[30]	مدل‌سازی خودرگرسیو تغییرات بخش AC سیگنال فوتوپلتیسموگرام پس از آزمون اتساع ناشی از جریان خون در افراد سالم و دیابتی‎
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[31]	Design and Validation of an Optical and USB-Powered Device for Heart-Rate Measuring
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[32]	Autoregressive modeling of the photoplethysmogram AC signal amplitude changes after flow-mediated dilation in healthy and diabetic subjects
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[33]	Blood Glucose Level Prediction Using Intelligent Based Modeling Techniques
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[1]	A Non-Invasive Blood Glucose Detection System Based on Photoplethysmogram With Multiple Near-Infrared Sensors IEEE Journal of Biomedical and Health Informatics, 2025 DOI:10.1109/JBHI.2024.3443317

[2]	A Single Wavelength LED Photoplethysmography Used for Non-Invasive Glucose Monitoring 2025 42nd National Radio Science Conference (NRSC), 2025 DOI:10.1109/NRSC65659.2025.11018547

[3]	Non-Invasive Glucose Measurement Technologies: Recent Advancements and Future Challenges IEEE Access, 2024 DOI:10.1109/ACCESS.2024.3389819

[4]	Presence of hypertension might pose a potential pitfall in detection of diabetes mellitus non-invasively using the second derivative of photoplethysmography Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, 2024 DOI:10.1080/21681163.2023.2256896

[5]	A Machine Learning Approach for Diagnosis of Diabetes Through Fusion of PPG and ECG Signals 2024 19th International Conference on Emerging Technologies (ICET), 2024 DOI:10.1109/ICET63392.2024.10935215

[6]	Non-Invasive Classification of Blood Glucose Level Based on Photoplethysmography Using Time–Frequency Analysis Information, 2023 DOI:10.3390/info14030145

[7]	Detection of Diabetes Using 1D Convolutional Neural Network from Short Time PPG Signal 2023 International Conference on Information and Communication Technology for Sustainable Development (ICICT4SD), 2023 DOI:10.1109/ICICT4SD59951.2023.10303575

[8]	Cuff-less and continuous blood pressure measurement based on pulse transit time from carotid and toe photoplethysmograms Journal of Medical Engineering & Technology, 2022 DOI:10.1080/03091902.2022.2077998

[9]	Deduction learning for precise noninvasive measurements of blood glucose with a dozen rounds of data for model training Scientific Reports, 2022 DOI:10.1038/s41598-022-10360-3

[10]	Non-Invasive Classification of Blood Glucose Level for Early Detection Diabetes Based on Photoplethysmography Signal Information, 2022 DOI:10.3390/info13020059

[11]	Review of Non-Invasive Blood Glucose Level Estimation based on Photoplethysmography and Artificial Intelligent Technology 2021 17th International Conference on Quality in Research (QIR): International Symposium on Electrical and Computer Engineering, 2021 DOI:10.1109/QIR54354.2021.9716164

[12]	Noncontact Physiological Measurement Using a Camera: A Technical Review and Future Directions ACS Sensors, 2021 DOI:10.1021/acssensors.0c02042

[13]	A Noninvasive Glucose Monitoring SoC Based on Single Wavelength Photoplethysmography IEEE Transactions on Biomedical Circuits and Systems, 2020 DOI:10.1109/TBCAS.2020.2979514

[14]	Non-invasive evaluation of coronary heart disease in patients with chronic kidney disease using photoplethysmography Clinical Kidney Journal, 2019 DOI:10.1093/ckj/sfy135

[15]	Design and Implementation of a Wearable System for Non-Invasive Glucose Level Monitoring 2019 IEEE International Conference on Biomedical Engineering, Computer and Information Technology for Health (BECITHCON), 2019 DOI:10.1109/BECITHCON48839.2019.9063193

[16]	Non-invasive detection of alcohol concentration based on photoplethysmogram signals IET Image Processing, 2018 DOI:10.1049/iet-ipr.2017.0625

[17]	Noninvasive Blood Glucose Prediction from Photoplethysmogram Using Relevance Vector Machine 2018 3rd International Conference for Convergence in Technology (I2CT), 2018 DOI:10.1109/I2CT.2018.8529481

[18]	Sensors for Everyday Life Smart Sensors, Measurement and Instrumentation, 2017 DOI:10.1007/978-3-319-47319-2_1

[19]	A survey on investigation of vital human parameters from photoplethsmography signal to predict the risk of cardiovascular diseases 2017 4th International Conference on Advanced Computing and Communication Systems (ICACCS), 2017 DOI:10.1109/ICACCS.2017.8014561

[20]	A Robust Algorithm for Real-Time Peak Detection of Photoplethysmograms Using a Personal Computer Mouse IEEE Sensors Journal, 2015 DOI:10.1109/JSEN.2015.2424979

[21]	FPGA based system for blood glucose sensing using photoplethysmography and online motion artifact correction using adaline 2015 9th International Conference on Sensing Technology (ICST), 2015 DOI:10.1109/ICSensT.2015.7438358

[22]	Autoregressive modeling of the photoplethysmogram AC signal amplitude changes after flow-mediated dilation in healthy and diabetic subjects 2012 19th Iranian Conference of Biomedical Engineering (ICBME), 2012 DOI:10.1109/ICBME.2012.6519679

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