PMID- 27835634
OWN - NLM
STAT- MEDLINE
DCOM- 20170623
LR  - 20181113
IS  - 1932-6203 (Electronic)
IS  - 1932-6203 (Linking)
VI  - 11
IP  - 11
DP  - 2016
TI  - A Novel and Effective Method for Congestive Heart Failure Detection and 
      Quantification Using Dynamic Heart Rate Variability Measurement.
PG  - e0165304
LID - 10.1371/journal.pone.0165304 [doi]
LID - e0165304
AB  - Risk assessment of congestive heart failure (CHF) is essential for detection, 
      especially helping patients make informed decisions about medications, devices, 
      transplantation, and end-of-life care. The majority of studies have focused on 
      disease detection between CHF patients and normal subjects using short-/long-term 
      heart rate variability (HRV) measures but not much on quantification. We 
      downloaded 116 nominal 24-hour RR interval records from the MIT/BIH database, 
      including 72 normal people and 44 CHF patients. These records were analyzed under 
      a 4-level risk assessment model: no risk (normal people, N), mild risk (patients 
      with New York Heart Association (NYHA) class I-II, P1), moderate risk (patients 
      with NYHA III, P2), and severe risk (patients with NYHA III-IV, P3). A novel 
      multistage classification approach is proposed for risk assessment and rating CHF 
      using the non-equilibrium decision-tree-based support vector machine classifier. 
      We propose dynamic indices of HRV to capture the dynamics of 5-minute short term 
      HRV measurements for quantifying autonomic activity changes of CHF. We extracted 
      54 classical measures and 126 dynamic indices and selected from these using 
      backward elimination to detect and quantify CHF patients. Experimental results 
      show that the multistage risk assessment model can realize CHF detection and 
      quantification analysis with total accuracy of 96.61%. The multistage model 
      provides a powerful predictor between predicted and actual ratings, and it could 
      serve as a clinically meaningful outcome providing an early assessment and a 
      prognostic marker for CHF patients.
FAU - Chen, Wenhui
AU  - Chen W
AD  - School of Engineering, Sun Yat-sen University, Guangzhou, Guangdong, China.
AD  - Science and Technology Planning Project of Guangdong Province, Guangzhou, 
      Guangdong, China.
AD  - Guangdong Provincial Engineering and Technology Centre of Advanced and Portable 
      Medical Device, Guangzhou, Guangdong, China.
FAU - Zheng, Lianrong
AU  - Zheng L
AD  - School of Engineering, Sun Yat-sen University, Guangzhou, Guangdong, China.
AD  - Science and Technology Planning Project of Guangdong Province, Guangzhou, 
      Guangdong, China.
AD  - Guangdong Provincial Engineering and Technology Centre of Advanced and Portable 
      Medical Device, Guangzhou, Guangdong, China.
FAU - Li, Kunyang
AU  - Li K
AD  - School of Engineering, Sun Yat-sen University, Guangzhou, Guangdong, China.
AD  - Science and Technology Planning Project of Guangdong Province, Guangzhou, 
      Guangdong, China.
AD  - Guangdong Provincial Engineering and Technology Centre of Advanced and Portable 
      Medical Device, Guangzhou, Guangdong, China.
FAU - Wang, Qian
AU  - Wang Q
AD  - School of Engineering, Sun Yat-sen University, Guangzhou, Guangdong, China.
AD  - Science and Technology Planning Project of Guangdong Province, Guangzhou, 
      Guangdong, China.
AD  - Guangdong Provincial Engineering and Technology Centre of Advanced and Portable 
      Medical Device, Guangzhou, Guangdong, China.
FAU - Liu, Guanzheng
AU  - Liu G
AD  - School of Engineering, Sun Yat-sen University, Guangzhou, Guangdong, China.
AD  - Science and Technology Planning Project of Guangdong Province, Guangzhou, 
      Guangdong, China.
AD  - Guangdong Provincial Engineering and Technology Centre of Advanced and Portable 
      Medical Device, Guangzhou, Guangdong, China.
FAU - Jiang, Qing
AU  - Jiang Q
AD  - School of Engineering, Sun Yat-sen University, Guangzhou, Guangdong, China.
AD  - Science and Technology Planning Project of Guangdong Province, Guangzhou, 
      Guangdong, China.
AD  - Guangdong Provincial Engineering and Technology Centre of Advanced and Portable 
      Medical Device, Guangzhou, Guangdong, China.
LA  - eng
PT  - Journal Article
DEP - 20161111
PL  - United States
TA  - PLoS One
JT  - PloS one
JID - 101285081
SB  - IM
MH  - Case-Control Studies
MH  - Databases, Factual
MH  - Decision Trees
MH  - Heart Failure/*diagnosis/physiopathology
MH  - *Heart Rate
MH  - Humans
MH  - *Models, Statistical
MH  - Prognosis
MH  - Risk Assessment
MH  - Severity of Illness Index
MH  - *Support Vector Machine
PMC - PMC5105944
COIS- The authors have declared that no competing interests exist.
EDAT- 2016/11/12 06:00
MHDA- 2017/06/24 06:00
PMCR- 2016/11/11
CRDT- 2016/11/12 06:00
PHST- 2016/04/21 00:00 [received]
PHST- 2016/10/10 00:00 [accepted]
PHST- 2016/11/12 06:00 [entrez]
PHST- 2016/11/12 06:00 [pubmed]
PHST- 2017/06/24 06:00 [medline]
PHST- 2016/11/11 00:00 [pmc-release]
AID - PONE-D-16-16105 [pii]
AID - 10.1371/journal.pone.0165304 [doi]
PST - epublish
SO  - PLoS One. 2016 Nov 11;11(11):e0165304. doi: 10.1371/journal.pone.0165304. 
      eCollection 2016.