Estimation of blood glucose level of type-2 diabetes patients using smartphone video through PCA-DA

Tauseef Tasin Chowdhury; Tahmin Mishma; Saeem Osman; Tanzilur Rahman

doi:10.1145/3362966.3362983

Estimation of blood glucose level of type-2 diabetes patients using smartphone video through PCA-DA

Tauseef Tasin Chowdhury, Tahmin Mishma, Saeem Osman, Tanzilur Rahman

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

10 Scopus citations

Abstract

This work proposes a smart phone video based approach for the estimation of blood glucose in a non-invasive way. Videos using smartphone camera are collected from the tip of the subject’s finger and the frames are subsequently converted into Photoplethysmography (PPG) waveform. Gaussian filter along with Asymmetric Least Square methods have been applied on the PPG signals to remove the high frequency noise, optical and motion interferences. Different signal features such as Systolic and Diastolic Peaks, the time difference between consecutive peaks (DelT), and First Derivative peaks have been extracted from the processed signal. Finally, Principal Component Regression (PCR) has been applied for the prediction of glucose level from the extracted features. The proposed model while applied to an unbiased dataset could predict the glucose level with a Standard Error of Prediction (SEP) of 18.31 mg/dL.

Original language	English
Title of host publication	Proceedings of 2019 6th International Conference on Networking, Systems and Security, NSysS 2019
Publisher	Association for Computing Machinery
Pages	104-108
Number of pages	5
ISBN (Electronic)	9781450376990
DOIs	https://doi.org/10.1145/3362966.3362983
State	Published - 17 Dec 2019
Externally published	Yes
Event	6th International Conference on Networking, Systems and Security, NSysS 2019 - Dhaka, Bangladesh Duration: 17 Dec 2019 → 19 Dec 2019

Publication series

Name	ACM International Conference Proceeding Series

Conference

Conference	6th International Conference on Networking, Systems and Security, NSysS 2019
Country/Territory	Bangladesh
City	Dhaka
Period	17/12/19 → 19/12/19

Bibliographical note

Publisher Copyright:
© 2019 Copyright is held by the owner/author(s). Publication rights licensed to ACM.

Keywords

Blood Glucose
PCR
PPG
Photoplethysmography
Signal Processing

ASJC Scopus subject areas

Software
Human-Computer Interaction
Computer Vision and Pattern Recognition
Computer Networks and Communications

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1145/3362966.3362983

Cite this

Chowdhury, T. T., Mishma, T., Osman, S., & Rahman, T. (2019). Estimation of blood glucose level of type-2 diabetes patients using smartphone video through PCA-DA. In Proceedings of 2019 6th International Conference on Networking, Systems and Security, NSysS 2019 (pp. 104-108). (ACM International Conference Proceeding Series). Association for Computing Machinery. https://doi.org/10.1145/3362966.3362983

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title = "Estimation of blood glucose level of type-2 diabetes patients using smartphone video through PCA-DA",

abstract = "This work proposes a smart phone video based approach for the estimation of blood glucose in a non-invasive way. Videos using smartphone camera are collected from the tip of the subject{\textquoteright}s finger and the frames are subsequently converted into Photoplethysmography (PPG) waveform. Gaussian filter along with Asymmetric Least Square methods have been applied on the PPG signals to remove the high frequency noise, optical and motion interferences. Different signal features such as Systolic and Diastolic Peaks, the time difference between consecutive peaks (DelT), and First Derivative peaks have been extracted from the processed signal. Finally, Principal Component Regression (PCR) has been applied for the prediction of glucose level from the extracted features. The proposed model while applied to an unbiased dataset could predict the glucose level with a Standard Error of Prediction (SEP) of 18.31 mg/dL.",

keywords = "Blood Glucose, PCR, PPG, Photoplethysmography, Signal Processing",

author = "Chowdhury, {Tauseef Tasin} and Tahmin Mishma and Saeem Osman and Tanzilur Rahman",

note = "Publisher Copyright: {\textcopyright} 2019 Copyright is held by the owner/author(s). Publication rights licensed to ACM.; 6th International Conference on Networking, Systems and Security, NSysS 2019 ; Conference date: 17-12-2019 Through 19-12-2019",

year = "2019",

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doi = "10.1145/3362966.3362983",

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Chowdhury, TT, Mishma, T, Osman, S & Rahman, T 2019, Estimation of blood glucose level of type-2 diabetes patients using smartphone video through PCA-DA. in Proceedings of 2019 6th International Conference on Networking, Systems and Security, NSysS 2019. ACM International Conference Proceeding Series, Association for Computing Machinery, pp. 104-108, 6th International Conference on Networking, Systems and Security, NSysS 2019, Dhaka, Bangladesh, 17/12/19. https://doi.org/10.1145/3362966.3362983

Estimation of blood glucose level of type-2 diabetes patients using smartphone video through PCA-DA. / Chowdhury, Tauseef Tasin; Mishma, Tahmin; Osman, Saeem et al.
Proceedings of 2019 6th International Conference on Networking, Systems and Security, NSysS 2019. Association for Computing Machinery, 2019. p. 104-108 (ACM International Conference Proceeding Series).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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PY - 2019/12/17

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Chowdhury TT, Mishma T, Osman S, Rahman T. Estimation of blood glucose level of type-2 diabetes patients using smartphone video through PCA-DA. In Proceedings of 2019 6th International Conference on Networking, Systems and Security, NSysS 2019. Association for Computing Machinery. 2019. p. 104-108. (ACM International Conference Proceeding Series). doi: 10.1145/3362966.3362983

Estimation of blood glucose level of type-2 diabetes patients using smartphone video through PCA-DA

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

UN SDGs

Access to Document

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Cite this