AED: Adaptive Energy-Efficient Data Transmission Scheme for Heart Disease Detection

Albert Budi Christian; Lokesh Sharma; Shih Lin Wu

doi:10.1109/DASC-PICom-DataCom-CyberSciTec.2017.66

AED: Adaptive Energy-Efficient Data Transmission Scheme for Heart Disease Detection

Albert Budi Christian
, Lokesh Sharma
, Shih Lin Wu

Department of Computer Science and Information Engineering

Chang Gung University

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

3 Scopus citations

Abstract

Next generation health and fitness wearable devices offer the opportunities for improving personalized healthcare. To detect and predict health problems, wearable devices with limited power resource need to transmit sensing data uninterruptedly that could be a huge challenge. Many exist researches use various ways to reduce the energy consumption but, to the best of our knowledge, no one employs physical activities integrated with data transmission technique to save the power. In this paper, we have developed an Adaptive Energy-efficient Data transmission (AED) scheme, which can detect critical events such as myocardial infarction and, at the same time, minimizes data transmission from the devices. Simulation results show that AED reduces the number of transmission by 71.35% for continuous data transmission and 30.33% for batch data transmission.

Original language	English
Title of host publication	Proceedings - 2017 IEEE 15th International Conference on Dependable, Autonomic and Secure Computing, 2017 IEEE 15th International Conference on Pervasive Intelligence and Computing, 2017 IEEE 3rd International Conference on Big Data Intelligence and Computing and 2017 IEEE Cyber Science and Technology Congress, DASC-PICom-DataCom-CyberSciTec 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	312-317
Number of pages	6
ISBN (Electronic)	9781538619551
DOIs	https://doi.org/10.1109/DASC-PICom-DataCom-CyberSciTec.2017.66
State	Published - 02 07 2017
Event	15th IEEE International Conference on Dependable, Autonomic and Secure Computing, 2017 IEEE 15th International Conference on Pervasive Intelligence and Computing, 2017 IEEE 3rd International Conference on Big Data Intelligence and Computing and 2017 IEEE Cyber Science and Technology Congress, DASC-PICom-DataCom-CyberSciTec 2017 - Orlando, United States Duration: 06 11 2017 → 11 11 2017

Publication series

Name	Proceedings - 2017 IEEE 15th International Conference on Dependable, Autonomic and Secure Computing, 2017 IEEE 15th International Conference on Pervasive Intelligence and Computing, 2017 IEEE 3rd International Conference on Big Data Intelligence and Computing and 2017 IEEE Cyber Science and Technology Congress, DASC-PICom-DataCom-CyberSciTec 2017
Volume	2018-January

Conference

Conference	15th IEEE International Conference on Dependable, Autonomic and Secure Computing, 2017 IEEE 15th International Conference on Pervasive Intelligence and Computing, 2017 IEEE 3rd International Conference on Big Data Intelligence and Computing and 2017 IEEE Cyber Science and Technology Congress, DASC-PICom-DataCom-CyberSciTec 2017
Country/Territory	United States
City	Orlando
Period	06/11/17 → 11/11/17

Bibliographical note

Publisher Copyright:
© 2017 IEEE.

Keywords

health monitoring system
heart disease
human activity
low power consumption
wearable devices
wireless transmission

UN SDGs

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

Access to Document

10.1109/DASC-PICom-DataCom-CyberSciTec.2017.66

Cite this

Christian, A. B., Sharma, L., & Wu, S. L. (2017). AED: Adaptive Energy-Efficient Data Transmission Scheme for Heart Disease Detection. In Proceedings - 2017 IEEE 15th International Conference on Dependable, Autonomic and Secure Computing, 2017 IEEE 15th International Conference on Pervasive Intelligence and Computing, 2017 IEEE 3rd International Conference on Big Data Intelligence and Computing and 2017 IEEE Cyber Science and Technology Congress, DASC-PICom-DataCom-CyberSciTec 2017 (pp. 312-317). (Proceedings - 2017 IEEE 15th International Conference on Dependable, Autonomic and Secure Computing, 2017 IEEE 15th International Conference on Pervasive Intelligence and Computing, 2017 IEEE 3rd International Conference on Big Data Intelligence and Computing and 2017 IEEE Cyber Science and Technology Congress, DASC-PICom-DataCom-CyberSciTec 2017; Vol. 2018-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/DASC-PICom-DataCom-CyberSciTec.2017.66

Christian, Albert Budi ; Sharma, Lokesh ; Wu, Shih Lin. / AED : Adaptive Energy-Efficient Data Transmission Scheme for Heart Disease Detection. Proceedings - 2017 IEEE 15th International Conference on Dependable, Autonomic and Secure Computing, 2017 IEEE 15th International Conference on Pervasive Intelligence and Computing, 2017 IEEE 3rd International Conference on Big Data Intelligence and Computing and 2017 IEEE Cyber Science and Technology Congress, DASC-PICom-DataCom-CyberSciTec 2017. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 312-317 (Proceedings - 2017 IEEE 15th International Conference on Dependable, Autonomic and Secure Computing, 2017 IEEE 15th International Conference on Pervasive Intelligence and Computing, 2017 IEEE 3rd International Conference on Big Data Intelligence and Computing and 2017 IEEE Cyber Science and Technology Congress, DASC-PICom-DataCom-CyberSciTec 2017).

@inproceedings{4ab58dabf1374c64a5bfa335ad0b806c,

title = "AED: Adaptive Energy-Efficient Data Transmission Scheme for Heart Disease Detection",

abstract = "Next generation health and fitness wearable devices offer the opportunities for improving personalized healthcare. To detect and predict health problems, wearable devices with limited power resource need to transmit sensing data uninterruptedly that could be a huge challenge. Many exist researches use various ways to reduce the energy consumption but, to the best of our knowledge, no one employs physical activities integrated with data transmission technique to save the power. In this paper, we have developed an Adaptive Energy-efficient Data transmission (AED) scheme, which can detect critical events such as myocardial infarction and, at the same time, minimizes data transmission from the devices. Simulation results show that AED reduces the number of transmission by 71.35\% for continuous data transmission and 30.33\% for batch data transmission.",

keywords = "health monitoring system, heart disease, human activity, low power consumption, wearable devices, wireless transmission",

author = "Christian, \{Albert Budi\} and Lokesh Sharma and Wu, \{Shih Lin\}",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 15th IEEE International Conference on Dependable, Autonomic and Secure Computing, 2017 IEEE 15th International Conference on Pervasive Intelligence and Computing, 2017 IEEE 3rd International Conference on Big Data Intelligence and Computing and 2017 IEEE Cyber Science and Technology Congress, DASC-PICom-DataCom-CyberSciTec 2017 ; Conference date: 06-11-2017 Through 11-11-2017",

year = "2017",

month = jul,

day = "2",

doi = "10.1109/DASC-PICom-DataCom-CyberSciTec.2017.66",

language = "英语",

series = "Proceedings - 2017 IEEE 15th International Conference on Dependable, Autonomic and Secure Computing, 2017 IEEE 15th International Conference on Pervasive Intelligence and Computing, 2017 IEEE 3rd International Conference on Big Data Intelligence and Computing and 2017 IEEE Cyber Science and Technology Congress, DASC-PICom-DataCom-CyberSciTec 2017",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "312--317",

booktitle = "Proceedings - 2017 IEEE 15th International Conference on Dependable, Autonomic and Secure Computing, 2017 IEEE 15th International Conference on Pervasive Intelligence and Computing, 2017 IEEE 3rd International Conference on Big Data Intelligence and Computing and 2017 IEEE Cyber Science and Technology Congress, DASC-PICom-DataCom-CyberSciTec 2017",

address = "美国",

}

Christian, AB, Sharma, L & Wu, SL 2017, AED: Adaptive Energy-Efficient Data Transmission Scheme for Heart Disease Detection. in Proceedings - 2017 IEEE 15th International Conference on Dependable, Autonomic and Secure Computing, 2017 IEEE 15th International Conference on Pervasive Intelligence and Computing, 2017 IEEE 3rd International Conference on Big Data Intelligence and Computing and 2017 IEEE Cyber Science and Technology Congress, DASC-PICom-DataCom-CyberSciTec 2017. Proceedings - 2017 IEEE 15th International Conference on Dependable, Autonomic and Secure Computing, 2017 IEEE 15th International Conference on Pervasive Intelligence and Computing, 2017 IEEE 3rd International Conference on Big Data Intelligence and Computing and 2017 IEEE Cyber Science and Technology Congress, DASC-PICom-DataCom-CyberSciTec 2017, vol. 2018-January, Institute of Electrical and Electronics Engineers Inc., pp. 312-317, 15th IEEE International Conference on Dependable, Autonomic and Secure Computing, 2017 IEEE 15th International Conference on Pervasive Intelligence and Computing, 2017 IEEE 3rd International Conference on Big Data Intelligence and Computing and 2017 IEEE Cyber Science and Technology Congress, DASC-PICom-DataCom-CyberSciTec 2017, Orlando, United States, 06/11/17. https://doi.org/10.1109/DASC-PICom-DataCom-CyberSciTec.2017.66

AED: Adaptive Energy-Efficient Data Transmission Scheme for Heart Disease Detection. / Christian, Albert Budi; Sharma, Lokesh; Wu, Shih Lin.
Proceedings - 2017 IEEE 15th International Conference on Dependable, Autonomic and Secure Computing, 2017 IEEE 15th International Conference on Pervasive Intelligence and Computing, 2017 IEEE 3rd International Conference on Big Data Intelligence and Computing and 2017 IEEE Cyber Science and Technology Congress, DASC-PICom-DataCom-CyberSciTec 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 312-317 (Proceedings - 2017 IEEE 15th International Conference on Dependable, Autonomic and Secure Computing, 2017 IEEE 15th International Conference on Pervasive Intelligence and Computing, 2017 IEEE 3rd International Conference on Big Data Intelligence and Computing and 2017 IEEE Cyber Science and Technology Congress, DASC-PICom-DataCom-CyberSciTec 2017; Vol. 2018-January).

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

TY - GEN

T1 - AED

T2 - 15th IEEE International Conference on Dependable, Autonomic and Secure Computing, 2017 IEEE 15th International Conference on Pervasive Intelligence and Computing, 2017 IEEE 3rd International Conference on Big Data Intelligence and Computing and 2017 IEEE Cyber Science and Technology Congress, DASC-PICom-DataCom-CyberSciTec 2017

AU - Christian, Albert Budi

AU - Sharma, Lokesh

AU - Wu, Shih Lin

PY - 2017/7/2

Y1 - 2017/7/2

N2 - Next generation health and fitness wearable devices offer the opportunities for improving personalized healthcare. To detect and predict health problems, wearable devices with limited power resource need to transmit sensing data uninterruptedly that could be a huge challenge. Many exist researches use various ways to reduce the energy consumption but, to the best of our knowledge, no one employs physical activities integrated with data transmission technique to save the power. In this paper, we have developed an Adaptive Energy-efficient Data transmission (AED) scheme, which can detect critical events such as myocardial infarction and, at the same time, minimizes data transmission from the devices. Simulation results show that AED reduces the number of transmission by 71.35% for continuous data transmission and 30.33% for batch data transmission.

AB - Next generation health and fitness wearable devices offer the opportunities for improving personalized healthcare. To detect and predict health problems, wearable devices with limited power resource need to transmit sensing data uninterruptedly that could be a huge challenge. Many exist researches use various ways to reduce the energy consumption but, to the best of our knowledge, no one employs physical activities integrated with data transmission technique to save the power. In this paper, we have developed an Adaptive Energy-efficient Data transmission (AED) scheme, which can detect critical events such as myocardial infarction and, at the same time, minimizes data transmission from the devices. Simulation results show that AED reduces the number of transmission by 71.35% for continuous data transmission and 30.33% for batch data transmission.

KW - health monitoring system

KW - heart disease

KW - human activity

KW - low power consumption

KW - wearable devices

KW - wireless transmission

UR - https://www.scopus.com/pages/publications/85038027580

U2 - 10.1109/DASC-PICom-DataCom-CyberSciTec.2017.66

DO - 10.1109/DASC-PICom-DataCom-CyberSciTec.2017.66

M3 - 会议稿件

AN - SCOPUS:85038027580

T3 - Proceedings - 2017 IEEE 15th International Conference on Dependable, Autonomic and Secure Computing, 2017 IEEE 15th International Conference on Pervasive Intelligence and Computing, 2017 IEEE 3rd International Conference on Big Data Intelligence and Computing and 2017 IEEE Cyber Science and Technology Congress, DASC-PICom-DataCom-CyberSciTec 2017

SP - 312

EP - 317

BT - Proceedings - 2017 IEEE 15th International Conference on Dependable, Autonomic and Secure Computing, 2017 IEEE 15th International Conference on Pervasive Intelligence and Computing, 2017 IEEE 3rd International Conference on Big Data Intelligence and Computing and 2017 IEEE Cyber Science and Technology Congress, DASC-PICom-DataCom-CyberSciTec 2017

PB - Institute of Electrical and Electronics Engineers Inc.

Y2 - 6 November 2017 through 11 November 2017

ER -

Christian AB, Sharma L, Wu SL. AED: Adaptive Energy-Efficient Data Transmission Scheme for Heart Disease Detection. In Proceedings - 2017 IEEE 15th International Conference on Dependable, Autonomic and Secure Computing, 2017 IEEE 15th International Conference on Pervasive Intelligence and Computing, 2017 IEEE 3rd International Conference on Big Data Intelligence and Computing and 2017 IEEE Cyber Science and Technology Congress, DASC-PICom-DataCom-CyberSciTec 2017. Institute of Electrical and Electronics Engineers Inc. 2017. p. 312-317. (Proceedings - 2017 IEEE 15th International Conference on Dependable, Autonomic and Secure Computing, 2017 IEEE 15th International Conference on Pervasive Intelligence and Computing, 2017 IEEE 3rd International Conference on Big Data Intelligence and Computing and 2017 IEEE Cyber Science and Technology Congress, DASC-PICom-DataCom-CyberSciTec 2017). doi: 10.1109/DASC-PICom-DataCom-CyberSciTec.2017.66

AED: Adaptive Energy-Efficient Data Transmission Scheme for Heart Disease Detection

Abstract

Publication series

Conference

Bibliographical note

Keywords

UN SDGs

Access to Document

Other files and links

Fingerprint

Cite this