PMID- 30440656
OWN - NLM
STAT- MEDLINE
DCOM- 20191024
LR  - 20200928
IS  - 2694-0604 (Electronic)
IS  - 2375-7477 (Linking)
VI  - 2018
DP  - 2018 Jul
TI  - Learning Front-end Filter-bank Parameters using Convolutional Neural Networks for 
      Abnormal Heart Sound Detection.
PG  - 1408-1411
LID - 10.1109/EMBC.2018.8512578 [doi]
AB  - Automatic heart sound abnormality detection can play a vital role in the early 
      diagnosis of heart diseases, particularly in low-resource settings. The 
      state-of-the-art algorithms for this task utilize a set of Finite Impulse 
      Response (FIR) band-pass filters as a front-end followed by a Convolutional 
      Neural Network (CNN) model. In this work, we propound a novel CNN architecture 
      that integrates the front-end band-pass filters within the network using 
      time-convolution (tConv) layers, which enables the FIR filter-bank parameters to 
      become learnable. Different initialization strategies for the learnable filters, 
      including random parameters and a set of predefined FIR filter-bank coefficients, 
      are examined. Using the proposed tConv layers, we add constraints to the 
      learnable FIR filters to ensure linear and zero phase responses. Experimental 
      evaluations are performed on a balanced 4-fold cross-validation task prepared 
      using the PhysioNet/CinC 2016 dataset. Results demonstrate that the proposed 
      models yield superior performance compared to the state-of-the-art system, while 
      the linear phase FIR filter-bank method provides an absolute improvement of 9.54% 
      over the baseline in terms of an overall accuracy metric.
FAU - Humayun, Ahmed Imtiaz
AU  - Humayun AI
FAU - Ghaffarzadegan, Shabnam
AU  - Ghaffarzadegan S
FAU - Feng, Zhe
AU  - Feng Z
FAU - Hasan, Taufiq
AU  - Hasan T
LA  - eng
PT  - Journal Article
PL  - United States
TA  - Annu Int Conf IEEE Eng Med Biol Soc
JT  - Annual International Conference of the IEEE Engineering in Medicine and Biology 
      Society. IEEE Engineering in Medicine and Biology Society. Annual International 
      Conference
JID - 101763872
SB  - IM
MH  - Algorithms
MH  - *Heart Sounds
MH  - Neural Networks, Computer
EDAT- 2018/11/18 06:00
MHDA- 2019/10/28 06:00
CRDT- 2018/11/17 06:00
PHST- 2018/11/17 06:00 [entrez]
PHST- 2018/11/18 06:00 [pubmed]
PHST- 2019/10/28 06:00 [medline]
AID - 10.1109/EMBC.2018.8512578 [doi]
PST - ppublish
SO  - Annu Int Conf IEEE Eng Med Biol Soc. 2018 Jul;2018:1408-1411. doi: 
      10.1109/EMBC.2018.8512578.