DMSense: A non-invasive Diabetes Mellitus Classification System using Photoplethysmogram signal-Reference-Cited by-同舟云学术

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DMSense: A non-invasive Diabetes Mellitus Classification System using Photoplethysmogram signal

Published:2017-03 Issue: Volume: Page:
ISSN:
Container-title:2017 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)
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Author:

Reddy V Ramu,Choudhury Anirban Dutta,Deshpande Parijat,Jayaraman Srinivasan,Thokala Naveen Kumar,Kaliaperumal Venkatesh

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/7911894/7917470/07917526.pdf?arnumber=7917526

Cited by 9 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. 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);2023-09-21

2. dSVRI: A PPG-Based Novel Feature for Early Diagnosis of Type-II Diabetes Mellitus;IEEE Sensors Letters;2022-09

3. Internet of Things-Based Personal Device for Diabetes Mellitus Treatment and Management;International Journal of Hyperconnectivity and the Internet of Things;2022-07-21

4. Mobile apps for the treatment of diabetes patients: a systematic review;Research on Biomedical Engineering;2021-05-14

5. Analysis of Foot Ulcer Level Using Non-Invasive Technique Based on Image Segmentation for Type 2 Diabetic Patients;Innovations in Information and Communication Technology Series;2020-12-30

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