Live demonstration: A support vector machine based hardware platform for blood pressure prediction

Bo Liang; Kefeng Duan; Qingsong Xie; Mohamed Atef; Zhiliang Qian; Guoxing Wang; Yong Lian

doi:10.1109/BioCAS.2016.7833744

Live demonstration: A support vector machine based hardware platform for blood pressure prediction

Bo Liang, Kefeng Duan, Qingsong Xie, Mohamed Atef, Zhiliang Qian, Guoxing Wang, Yong Lian

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

6 Citations (Scopus)

Abstract

In this demonstration, a cuffless blood pressure prediction device using photoplethysmography (PPG) and electrocardiogram (ECG) as inputs is presented. The system implemented a support vector machine (SVM) based prediction model in a heterogeneous DSP and FPGA platform. In the system, the complicated data pre-processing tasks are implemented in a Digital Signal Processor TMDX5535EXDSP. The SVM prediction model is implemented as a hardware accelerator in an Artix-7 FPGA. To verify the model performance and observe the results, we also develop a software GUI for the platform. The users can observe their estimated blood pressures and heart rate on the OLED screen in FPGA board, and the corresponding PPG and ECG waveforms in a desktop PC.

Original language	English
Title of host publication	Proceedings - 2016 IEEE Biomedical Circuits and Systems Conference, BioCAS 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	130
Number of pages	1
ISBN (Electronic)	9781509029594
DOIs	https://doi.org/10.1109/BioCAS.2016.7833744
Publication status	Published - 2016
Externally published	Yes
Event	12th IEEE Biomedical Circuits and Systems Conference, BioCAS 2016 - Shanghai, China Duration: Oct 17 2016 → Oct 19 2016

Publication series

Name	Proceedings - 2016 IEEE Biomedical Circuits and Systems Conference, BioCAS 2016

Conference

Conference	12th IEEE Biomedical Circuits and Systems Conference, BioCAS 2016
Country/Territory	China
City	Shanghai
Period	10/17/16 → 10/19/16

ASJC Scopus subject areas

Electrical and Electronic Engineering
Instrumentation
Biomedical Engineering

Access to Document

10.1109/BioCAS.2016.7833744

Cite this

Liang, B., Duan, K., Xie, Q., Atef, M., Qian, Z., Wang, G., & Lian, Y. (2016). Live demonstration: A support vector machine based hardware platform for blood pressure prediction. In Proceedings - 2016 IEEE Biomedical Circuits and Systems Conference, BioCAS 2016 (pp. 130). Article 7833744 (Proceedings - 2016 IEEE Biomedical Circuits and Systems Conference, BioCAS 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/BioCAS.2016.7833744

Live demonstration: A support vector machine based hardware platform for blood pressure prediction. / Liang, Bo; Duan, Kefeng; Xie, Qingsong et al.
Proceedings - 2016 IEEE Biomedical Circuits and Systems Conference, BioCAS 2016. Institute of Electrical and Electronics Engineers Inc., 2016. p. 130 7833744 (Proceedings - 2016 IEEE Biomedical Circuits and Systems Conference, BioCAS 2016).

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

Liang, B, Duan, K, Xie, Q, Atef, M, Qian, Z, Wang, G & Lian, Y 2016, Live demonstration: A support vector machine based hardware platform for blood pressure prediction. in Proceedings - 2016 IEEE Biomedical Circuits and Systems Conference, BioCAS 2016., 7833744, Proceedings - 2016 IEEE Biomedical Circuits and Systems Conference, BioCAS 2016, Institute of Electrical and Electronics Engineers Inc., pp. 130, 12th IEEE Biomedical Circuits and Systems Conference, BioCAS 2016, Shanghai, China, 10/17/16. https://doi.org/10.1109/BioCAS.2016.7833744

Liang B, Duan K, Xie Q, Atef M, Qian Z, Wang G et al. Live demonstration: A support vector machine based hardware platform for blood pressure prediction. In Proceedings - 2016 IEEE Biomedical Circuits and Systems Conference, BioCAS 2016. Institute of Electrical and Electronics Engineers Inc. 2016. p. 130. 7833744. (Proceedings - 2016 IEEE Biomedical Circuits and Systems Conference, BioCAS 2016). doi: 10.1109/BioCAS.2016.7833744

Liang, Bo ; Duan, Kefeng ; Xie, Qingsong et al. / Live demonstration : A support vector machine based hardware platform for blood pressure prediction. Proceedings - 2016 IEEE Biomedical Circuits and Systems Conference, BioCAS 2016. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 130 (Proceedings - 2016 IEEE Biomedical Circuits and Systems Conference, BioCAS 2016).

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title = "Live demonstration: A support vector machine based hardware platform for blood pressure prediction",

abstract = "In this demonstration, a cuffless blood pressure prediction device using photoplethysmography (PPG) and electrocardiogram (ECG) as inputs is presented. The system implemented a support vector machine (SVM) based prediction model in a heterogeneous DSP and FPGA platform. In the system, the complicated data pre-processing tasks are implemented in a Digital Signal Processor TMDX5535EXDSP. The SVM prediction model is implemented as a hardware accelerator in an Artix-7 FPGA. To verify the model performance and observe the results, we also develop a software GUI for the platform. The users can observe their estimated blood pressures and heart rate on the OLED screen in FPGA board, and the corresponding PPG and ECG waveforms in a desktop PC.",

author = "Bo Liang and Kefeng Duan and Qingsong Xie and Mohamed Atef and Zhiliang Qian and Guoxing Wang and Yong Lian",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 12th IEEE Biomedical Circuits and Systems Conference, BioCAS 2016 ; Conference date: 17-10-2016 Through 19-10-2016",

year = "2016",

doi = "10.1109/BioCAS.2016.7833744",

language = "English",

series = "Proceedings - 2016 IEEE Biomedical Circuits and Systems Conference, BioCAS 2016",

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T2 - 12th IEEE Biomedical Circuits and Systems Conference, BioCAS 2016

AU - Liang, Bo

AU - Duan, Kefeng

AU - Xie, Qingsong

AU - Atef, Mohamed

AU - Qian, Zhiliang

AU - Wang, Guoxing

AU - Lian, Yong

PY - 2016

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N2 - In this demonstration, a cuffless blood pressure prediction device using photoplethysmography (PPG) and electrocardiogram (ECG) as inputs is presented. The system implemented a support vector machine (SVM) based prediction model in a heterogeneous DSP and FPGA platform. In the system, the complicated data pre-processing tasks are implemented in a Digital Signal Processor TMDX5535EXDSP. The SVM prediction model is implemented as a hardware accelerator in an Artix-7 FPGA. To verify the model performance and observe the results, we also develop a software GUI for the platform. The users can observe their estimated blood pressures and heart rate on the OLED screen in FPGA board, and the corresponding PPG and ECG waveforms in a desktop PC.

AB - In this demonstration, a cuffless blood pressure prediction device using photoplethysmography (PPG) and electrocardiogram (ECG) as inputs is presented. The system implemented a support vector machine (SVM) based prediction model in a heterogeneous DSP and FPGA platform. In the system, the complicated data pre-processing tasks are implemented in a Digital Signal Processor TMDX5535EXDSP. The SVM prediction model is implemented as a hardware accelerator in an Artix-7 FPGA. To verify the model performance and observe the results, we also develop a software GUI for the platform. The users can observe their estimated blood pressures and heart rate on the OLED screen in FPGA board, and the corresponding PPG and ECG waveforms in a desktop PC.

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PB - Institute of Electrical and Electronics Engineers Inc.

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Live demonstration: A support vector machine based hardware platform for blood pressure prediction

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