Extracting features for cardiovascular disease classification based on ballistocardiography

Yalong Song; Hongbo Ni; Xingshe Zhou; Weichao Zhao; Tianben Wang

doi:10.1109/UIC-ATC-ScalCom-CBDCom-IoP.2015.223

Extracting features for cardiovascular disease classification based on ballistocardiography

Yalong Song, Hongbo Ni, Xingshe Zhou, Weichao Zhao, Tianben Wang

计算机学院

Northwestern Polytechnical University Xian

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

24 引用（Scopus）

摘要

Cardiovascular disease affects the health of people seriously in the world, especially in the elderly. This paper proposes an effective approach of detecting and analyzing the health status of the elderly. In this work, we continuously acquire Ballisto cardiography (BCG) signal with the micro-movement sensitive mattress (MSM) during non-intrusive sleep in home environment. In the paper, we propose a new method to extract heartbeat intervals (RR) based on Ensemble Empirical Mode Decomposition (EEMD), and extract the signal features by calculating the parameters of heart rate variability (HRV) from time domain analysis, frequency domain analysis and nonlinear analysis. A Naïve Bayesian Classification method is applied to classify the normal persons, hypertension patients and coronary heart disease (CHD) patients by using the obtained features. The proposed method is evaluated by using the BCG datasets from eighteen subjects, including eight females and ten males (age 40-72). The results are satisfactory and can provide a classification precision of 92.3%.

源语言	英语
主期刊名	Proceedings - 2015 IEEE 12th International Conference on Ubiquitous Intelligence and Computing, 2015 IEEE 12th International Conference on Advanced and Trusted Computing, 2015 IEEE 15th International Conference on Scalable Computing and Communications, 2015 IEEE International Conference on Cloud and Big Data Computing, 2015 IEEE International Conference on Internet of People and Associated Symposia/Workshops, UIC-ATC-ScalCom-CBDCom-IoP 2015
编辑	Jianhua Ma, Ali Li, Huansheng Ning, Laurence T. Yang
出版商	Institute of Electrical and Electronics Engineers Inc.
页	1230-1235
页数	6
ISBN（电子版）	9781467372114
DOI	https://doi.org/10.1109/UIC-ATC-ScalCom-CBDCom-IoP.2015.223
出版状态	已出版 - 20 7月 2016
活动	Proceedings - 2015 IEEE 12th International Conference on Ubiquitous Intelligence and Computing, 2015 IEEE 12th International Conference on Advanced and Trusted Computing, 2015 IEEE 15th International Conference on Scalable Computing and Communications, 2015 IEEE International Conference on Cloud and Big Data Computing, 2015 IEEE International Conference on Internet of People and Associated Symposia/Workshops, UIC-ATC-ScalCom-CBDCom-IoP 2015 - Beijing, 中国期限: 10 8月 2015 → 14 8月 2015

出版系列

姓名

Proceedings - 2015 IEEE 12th International Conference on Ubiquitous Intelligence and Computing, 2015 IEEE 12th International Conference on Advanced and Trusted Computing, 2015 IEEE 15th International Conference on Scalable Computing and Communications, 2015 IEEE International Conference on Cloud and Big Data Computing, 2015 IEEE International Conference on Internet of People and Associated Symposia/Workshops, UIC-ATC-ScalCom-CBDCom-IoP 2015

会议

会议	Proceedings - 2015 IEEE 12th International Conference on Ubiquitous Intelligence and Computing, 2015 IEEE 12th International Conference on Advanced and Trusted Computing, 2015 IEEE 15th International Conference on Scalable Computing and Communications, 2015 IEEE International Conference on Cloud and Big Data Computing, 2015 IEEE International Conference on Internet of People and Associated Symposia/Workshops, UIC-ATC-ScalCom-CBDCom-IoP 2015
国家/地区	中国
市	Beijing
时期	10/08/15 → 14/08/15

联合国可持续发展目标

此成果有助于实现下列可持续发展目标：

访问文件

10.1109/UIC-ATC-ScalCom-CBDCom-IoP.2015.223

其它文件与链接

链接到 Scopus 的出版物

引用此

Song, Y., Ni, H., Zhou, X., Zhao, W., & Wang, T. (2016). Extracting features for cardiovascular disease classification based on ballistocardiography. 在 J. Ma, A. Li, H. Ning, & L. T. Yang (编辑), Proceedings - 2015 IEEE 12th International Conference on Ubiquitous Intelligence and Computing, 2015 IEEE 12th International Conference on Advanced and Trusted Computing, 2015 IEEE 15th International Conference on Scalable Computing and Communications, 2015 IEEE International Conference on Cloud and Big Data Computing, 2015 IEEE International Conference on Internet of People and Associated Symposia/Workshops, UIC-ATC-ScalCom-CBDCom-IoP 2015 (页码 1230-1235). 文章 7518402 (Proceedings - 2015 IEEE 12th International Conference on Ubiquitous Intelligence and Computing, 2015 IEEE 12th International Conference on Advanced and Trusted Computing, 2015 IEEE 15th International Conference on Scalable Computing and Communications, 2015 IEEE International Conference on Cloud and Big Data Computing, 2015 IEEE International Conference on Internet of People and Associated Symposia/Workshops, UIC-ATC-ScalCom-CBDCom-IoP 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/UIC-ATC-ScalCom-CBDCom-IoP.2015.223

Song, Yalong ; Ni, Hongbo ; Zhou, Xingshe 等. / Extracting features for cardiovascular disease classification based on ballistocardiography. Proceedings - 2015 IEEE 12th International Conference on Ubiquitous Intelligence and Computing, 2015 IEEE 12th International Conference on Advanced and Trusted Computing, 2015 IEEE 15th International Conference on Scalable Computing and Communications, 2015 IEEE International Conference on Cloud and Big Data Computing, 2015 IEEE International Conference on Internet of People and Associated Symposia/Workshops, UIC-ATC-ScalCom-CBDCom-IoP 2015. 编辑 / Jianhua Ma ; Ali Li ; Huansheng Ning ; Laurence T. Yang. Institute of Electrical and Electronics Engineers Inc., 2016. 页码 1230-1235 (Proceedings - 2015 IEEE 12th International Conference on Ubiquitous Intelligence and Computing, 2015 IEEE 12th International Conference on Advanced and Trusted Computing, 2015 IEEE 15th International Conference on Scalable Computing and Communications, 2015 IEEE International Conference on Cloud and Big Data Computing, 2015 IEEE International Conference on Internet of People and Associated Symposia/Workshops, UIC-ATC-ScalCom-CBDCom-IoP 2015).

@inproceedings{ebc3c5aad5954c149bbc51751f1923aa,

title = "Extracting features for cardiovascular disease classification based on ballistocardiography",

abstract = "Cardiovascular disease affects the health of people seriously in the world, especially in the elderly. This paper proposes an effective approach of detecting and analyzing the health status of the elderly. In this work, we continuously acquire Ballisto cardiography (BCG) signal with the micro-movement sensitive mattress (MSM) during non-intrusive sleep in home environment. In the paper, we propose a new method to extract heartbeat intervals (RR) based on Ensemble Empirical Mode Decomposition (EEMD), and extract the signal features by calculating the parameters of heart rate variability (HRV) from time domain analysis, frequency domain analysis and nonlinear analysis. A Na{\"i}ve Bayesian Classification method is applied to classify the normal persons, hypertension patients and coronary heart disease (CHD) patients by using the obtained features. The proposed method is evaluated by using the BCG datasets from eighteen subjects, including eight females and ten males (age 40-72). The results are satisfactory and can provide a classification precision of 92.3%.",

keywords = "Ballistocardiography, Cardiovascular Disease, EEMD, Na{\"i}ve Bayesian Classification",

author = "Yalong Song and Hongbo Ni and Xingshe Zhou and Weichao Zhao and Tianben Wang",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; Proceedings - 2015 IEEE 12th International Conference on Ubiquitous Intelligence and Computing, 2015 IEEE 12th International Conference on Advanced and Trusted Computing, 2015 IEEE 15th International Conference on Scalable Computing and Communications, 2015 IEEE International Conference on Cloud and Big Data Computing, 2015 IEEE International Conference on Internet of People and Associated Symposia/Workshops, UIC-ATC-ScalCom-CBDCom-IoP 2015 ; Conference date: 10-08-2015 Through 14-08-2015",

year = "2016",

month = jul,

day = "20",

doi = "10.1109/UIC-ATC-ScalCom-CBDCom-IoP.2015.223",

language = "英语",

series = "Proceedings - 2015 IEEE 12th International Conference on Ubiquitous Intelligence and Computing, 2015 IEEE 12th International Conference on Advanced and Trusted Computing, 2015 IEEE 15th International Conference on Scalable Computing and Communications, 2015 IEEE International Conference on Cloud and Big Data Computing, 2015 IEEE International Conference on Internet of People and Associated Symposia/Workshops, UIC-ATC-ScalCom-CBDCom-IoP 2015",

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

pages = "1230--1235",

editor = "Jianhua Ma and Ali Li and Huansheng Ning and Yang, {Laurence T.}",

booktitle = "Proceedings - 2015 IEEE 12th International Conference on Ubiquitous Intelligence and Computing, 2015 IEEE 12th International Conference on Advanced and Trusted Computing, 2015 IEEE 15th International Conference on Scalable Computing and Communications, 2015 IEEE International Conference on Cloud and Big Data Computing, 2015 IEEE International Conference on Internet of People and Associated Symposia/Workshops, UIC-ATC-ScalCom-CBDCom-IoP 2015",

}

Song, Y, Ni, H, Zhou, X, Zhao, W & Wang, T 2016, Extracting features for cardiovascular disease classification based on ballistocardiography. 在 J Ma, A Li, H Ning & LT Yang (编辑), Proceedings - 2015 IEEE 12th International Conference on Ubiquitous Intelligence and Computing, 2015 IEEE 12th International Conference on Advanced and Trusted Computing, 2015 IEEE 15th International Conference on Scalable Computing and Communications, 2015 IEEE International Conference on Cloud and Big Data Computing, 2015 IEEE International Conference on Internet of People and Associated Symposia/Workshops, UIC-ATC-ScalCom-CBDCom-IoP 2015., 7518402, Proceedings - 2015 IEEE 12th International Conference on Ubiquitous Intelligence and Computing, 2015 IEEE 12th International Conference on Advanced and Trusted Computing, 2015 IEEE 15th International Conference on Scalable Computing and Communications, 2015 IEEE International Conference on Cloud and Big Data Computing, 2015 IEEE International Conference on Internet of People and Associated Symposia/Workshops, UIC-ATC-ScalCom-CBDCom-IoP 2015, Institute of Electrical and Electronics Engineers Inc., 页码 1230-1235, Proceedings - 2015 IEEE 12th International Conference on Ubiquitous Intelligence and Computing, 2015 IEEE 12th International Conference on Advanced and Trusted Computing, 2015 IEEE 15th International Conference on Scalable Computing and Communications, 2015 IEEE International Conference on Cloud and Big Data Computing, 2015 IEEE International Conference on Internet of People and Associated Symposia/Workshops, UIC-ATC-ScalCom-CBDCom-IoP 2015, Beijing, 中国, 10/08/15. https://doi.org/10.1109/UIC-ATC-ScalCom-CBDCom-IoP.2015.223

Extracting features for cardiovascular disease classification based on ballistocardiography. / Song, Yalong; Ni, Hongbo; Zhou, Xingshe 等.
Proceedings - 2015 IEEE 12th International Conference on Ubiquitous Intelligence and Computing, 2015 IEEE 12th International Conference on Advanced and Trusted Computing, 2015 IEEE 15th International Conference on Scalable Computing and Communications, 2015 IEEE International Conference on Cloud and Big Data Computing, 2015 IEEE International Conference on Internet of People and Associated Symposia/Workshops, UIC-ATC-ScalCom-CBDCom-IoP 2015. 编辑 / Jianhua Ma; Ali Li; Huansheng Ning; Laurence T. Yang. Institute of Electrical and Electronics Engineers Inc., 2016. 页码 1230-1235 7518402 (Proceedings - 2015 IEEE 12th International Conference on Ubiquitous Intelligence and Computing, 2015 IEEE 12th International Conference on Advanced and Trusted Computing, 2015 IEEE 15th International Conference on Scalable Computing and Communications, 2015 IEEE International Conference on Cloud and Big Data Computing, 2015 IEEE International Conference on Internet of People and Associated Symposia/Workshops, UIC-ATC-ScalCom-CBDCom-IoP 2015).

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

TY - GEN

T1 - Extracting features for cardiovascular disease classification based on ballistocardiography

AU - Song, Yalong

AU - Ni, Hongbo

AU - Zhou, Xingshe

AU - Zhao, Weichao

AU - Wang, Tianben

PY - 2016/7/20

Y1 - 2016/7/20

N2 - Cardiovascular disease affects the health of people seriously in the world, especially in the elderly. This paper proposes an effective approach of detecting and analyzing the health status of the elderly. In this work, we continuously acquire Ballisto cardiography (BCG) signal with the micro-movement sensitive mattress (MSM) during non-intrusive sleep in home environment. In the paper, we propose a new method to extract heartbeat intervals (RR) based on Ensemble Empirical Mode Decomposition (EEMD), and extract the signal features by calculating the parameters of heart rate variability (HRV) from time domain analysis, frequency domain analysis and nonlinear analysis. A Naïve Bayesian Classification method is applied to classify the normal persons, hypertension patients and coronary heart disease (CHD) patients by using the obtained features. The proposed method is evaluated by using the BCG datasets from eighteen subjects, including eight females and ten males (age 40-72). The results are satisfactory and can provide a classification precision of 92.3%.

AB - Cardiovascular disease affects the health of people seriously in the world, especially in the elderly. This paper proposes an effective approach of detecting and analyzing the health status of the elderly. In this work, we continuously acquire Ballisto cardiography (BCG) signal with the micro-movement sensitive mattress (MSM) during non-intrusive sleep in home environment. In the paper, we propose a new method to extract heartbeat intervals (RR) based on Ensemble Empirical Mode Decomposition (EEMD), and extract the signal features by calculating the parameters of heart rate variability (HRV) from time domain analysis, frequency domain analysis and nonlinear analysis. A Naïve Bayesian Classification method is applied to classify the normal persons, hypertension patients and coronary heart disease (CHD) patients by using the obtained features. The proposed method is evaluated by using the BCG datasets from eighteen subjects, including eight females and ten males (age 40-72). The results are satisfactory and can provide a classification precision of 92.3%.

KW - Ballistocardiography

KW - Cardiovascular Disease

KW - EEMD

KW - Naïve Bayesian Classification

UR - http://www.scopus.com/inward/record.url?scp=84983416412&partnerID=8YFLogxK

U2 - 10.1109/UIC-ATC-ScalCom-CBDCom-IoP.2015.223

DO - 10.1109/UIC-ATC-ScalCom-CBDCom-IoP.2015.223

M3 - 会议稿件

AN - SCOPUS:84983416412

T3 - Proceedings - 2015 IEEE 12th International Conference on Ubiquitous Intelligence and Computing, 2015 IEEE 12th International Conference on Advanced and Trusted Computing, 2015 IEEE 15th International Conference on Scalable Computing and Communications, 2015 IEEE International Conference on Cloud and Big Data Computing, 2015 IEEE International Conference on Internet of People and Associated Symposia/Workshops, UIC-ATC-ScalCom-CBDCom-IoP 2015

SP - 1230

EP - 1235

BT - Proceedings - 2015 IEEE 12th International Conference on Ubiquitous Intelligence and Computing, 2015 IEEE 12th International Conference on Advanced and Trusted Computing, 2015 IEEE 15th International Conference on Scalable Computing and Communications, 2015 IEEE International Conference on Cloud and Big Data Computing, 2015 IEEE International Conference on Internet of People and Associated Symposia/Workshops, UIC-ATC-ScalCom-CBDCom-IoP 2015

A2 - Ma, Jianhua

A2 - Li, Ali

A2 - Ning, Huansheng

A2 - Yang, Laurence T.

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - Proceedings - 2015 IEEE 12th International Conference on Ubiquitous Intelligence and Computing, 2015 IEEE 12th International Conference on Advanced and Trusted Computing, 2015 IEEE 15th International Conference on Scalable Computing and Communications, 2015 IEEE International Conference on Cloud and Big Data Computing, 2015 IEEE International Conference on Internet of People and Associated Symposia/Workshops, UIC-ATC-ScalCom-CBDCom-IoP 2015

Y2 - 10 August 2015 through 14 August 2015

ER -

Song Y, Ni H, Zhou X, Zhao W, Wang T. Extracting features for cardiovascular disease classification based on ballistocardiography. 在 Ma J, Li A, Ning H, Yang LT, 编辑, Proceedings - 2015 IEEE 12th International Conference on Ubiquitous Intelligence and Computing, 2015 IEEE 12th International Conference on Advanced and Trusted Computing, 2015 IEEE 15th International Conference on Scalable Computing and Communications, 2015 IEEE International Conference on Cloud and Big Data Computing, 2015 IEEE International Conference on Internet of People and Associated Symposia/Workshops, UIC-ATC-ScalCom-CBDCom-IoP 2015. Institute of Electrical and Electronics Engineers Inc. 2016. 页码 1230-1235. 7518402. (Proceedings - 2015 IEEE 12th International Conference on Ubiquitous Intelligence and Computing, 2015 IEEE 12th International Conference on Advanced and Trusted Computing, 2015 IEEE 15th International Conference on Scalable Computing and Communications, 2015 IEEE International Conference on Cloud and Big Data Computing, 2015 IEEE International Conference on Internet of People and Associated Symposia/Workshops, UIC-ATC-ScalCom-CBDCom-IoP 2015). doi: 10.1109/UIC-ATC-ScalCom-CBDCom-IoP.2015.223

Extracting features for cardiovascular disease classification based on ballistocardiography

摘要

出版系列

会议

联合国可持续发展目标

访问文件

其它文件与链接

指纹

引用此