An efficient heart murmur recognition and cardiovascular disorders classification system

Maqsood Ahmad1, Junaid Mir1, Muhammad Obaid Ullah1, Muhammad Laiq Ur Rahman Shahid1, Muhammad Adnan Syed2
1Electrical Engineering Department, University of Engineering and Technology Taxila, Taxila, Pakistan
2Computer Science Department, University of Engineering and Technology Taxila, Taxila, Pakistan

Tóm tắt

Từ khóa


Tài liệu tham khảo

WHO (2017) World Health Ranking. http://www.worldlifeexpectancy.com/country-health-profile/pakistan

Kwak C, Kwon O-W (2012) Cardiac disorder classification by heart sound signals using murmur likelihood and hidden markov model state likelihood. IET Signal Process 6(4):326–334

Pedrosa J, Castro A, Vinhoza TT (2014) Automatic heart sound segmentation and murmur detection in pediatric phonocardiograms. In: Engineering in medicine and biology society (EMBC), 2014 36th annual international conference of the IEEE, IEEE, pp 2294–2297

Park MK (2008) Pediatric cardiology for practitioners. Elsevier’s Health Sciences Rights Department in Philadelphia, Toronto

Han J, Ji X, Xintao H, Zhu D, Li K, Jiang X, Cui G, Guo L, Liu T (2013) Representing and retrieving video shots in human-centric brain imaging space. IEEE Trans Image Process 22(7):2723–2736

Wu W, Pirbhulal S, Zhang H, Mukhopadhyay SC (2019) Quantitative assessment for self-tracking of acute stress based on triangulation principle in a wearable sensor system. IEEE J Biomed Health Inform 23(2):703–713

Wang Y, Liu H, Zheng W, Xia Y, Li Y, Chen P, Guo K, Xie H (2019) Multi-objective workflow scheduling with deep-q-network-based multi-agent reinforcement learning. IEEE Access 7:39974–39982

Nabih-Ali M, El-Dahshan ELSA, Yahia AS (2017) A review of intelligent systems for heart sound signal analysis. J Med Eng Technol 41(7):553–563

Ahmad MS, Khan AS, Khattak JG, Khattak S (2014) A signal processing technique for heart murmur extraction and classification using fuzzy logic controller. Res J Appl Sci Eng Technol 8(1):1–8

Naseri H, Homaeinezhad MR (2013) Detection and boundary identification of phonocardiogram sounds using an expert frequency-energy based metric. Ann Biomed Eng 41(2):279–292

Kang S, Doroshow R, McConnaughey J, Khandoker A, Shekhar R (2015) Heart sound segmentation toward automated heart murmur classification in pediatric patents. In: 8th international conference on signal processing, image processing and pattern recognition (SIP). IEEE, pp 9–12

Zhong L, Wan J, Huang Z, Cao G, Xiao B (2013) Heart murmur recognition based on hidden markov model. J Signal Inform Process 4(02):140

Kotb MA, Nabih H, El Zahraa F, El Falaki M, Shaker CW, Refaey MA, Rjoob KWY (2016) Improving the recognition of heart murmur. Int J Adv Comput Sci Appl (IJACSA) 7:1–10

Zhang W, Han J, Deng S (2017) Heart sound classification based on scaled spectrogram and tensor decomposition. Expert Syst Appl 84:220–231

Hamidah A, Saputra R, Mengko TLR, Mengko R, Anggoro B (2016) Effective heart sounds detection method based on signal’s characteristics. In: International symposium on intelligent signal processing and communication systems (ISPACS). IEEE, pp 1–4

Varghees VN, Ramachandran KI (2017) Effective heart sound segmentation and murmur classification using empirical wavelet transform and instantaneous phase for electronic stethoscope. IEEE Sens J 17(12):3861–3872

Zheng Y, Guo X, Ding X (2015) A novel hybrid energy fraction and entropy-based approach for systolic heart murmurs identification. Expert Syst Appl 42(5):2710–2721

Varghees VN, Ramachandran KI (2015) Heart murmur detection and classification using wavelet transform and hilbert phase envelope. In: Twenty first national conference on communications (NCC). IEEE, pp 1–6

Jimenez JA, Becerra MA, Delgado-Trejos E (2014) Heart murmur detection using ensemble empirical mode decomposition and derivations of the mel-frequency cepstral coefficients on 4-area phonocardiographic signals. In: Computing in cardiology conference (CinC). IEEE, pp 493–496

Kristomo D, Hidayat R, Soesanti I, Kusjani A (2016) Heart sound feature extraction and classification using autoregressive power spectral density (ar-psd) and statistics features. In: AIP conference proceedings. AIP Publishing, 1755, p 090007

Sun S, Wang H, Jiang Z, Fang Y, Tao T (2014) Segmentation-based heart sound feature extraction combined with classifier models for a VSD diagnosis system. Expert Syst Appl 41(4):1769–1780

Dominguez-Morales JP, Jimenez-Fernandez AF, Dominguez-Morales MJ, Jimenez-Moreno G (2018) Deep neural networks for the recognition and classification of heart murmurs using neuromorphic auditory sensors. IEEE Trans Biomed Circuits Syst 12(1):24–34

Gharehbaghi A, Borga M, Sjöberg BJ, Ask P (2015) A novel method for discrimination between innocent and pathological heart murmurs. Med Eng Phys 37(7):674–682

Eslamizadeh G, Barati R (2017) Heart murmur detection based on wavelet transformation and a synergy between artificial neural network and modified neighbor annealing methods. Artif intell Med 78:23–40

Ganguly A, Sharma M (2017) Detection of pathological heart murmurs by feature extraction of phonocardiogram signals. J Appl Adv Res 2(4):200–205

Chakir F, Jilbab A, Nacir C, Hammouch A (2016) Phonocardiogram signals classification into normal heart sounds and heart murmur sounds. In: 11th international conference on intelligent systems: theories and applications (SITA). IEEE, pp 1–4

Varghees VN, Ramachandran KI (2014) A novel heart sound activity detection framework for automated heart sound analysis. Biomed Signal Process Control 13:174–188

Mason D (2000) Listening to the heart: a comprehensive collection of heart sounds and murmurs. Davis, Worcester

egeneral medical heart murmur database. http://www.egeneralmedical.com/listohearmur.html . Accessed 174 Apr 2018

Heart Sound. Murmur library. University of Michigan (2011) http://www.med.umich.edu/lrc/psb_open/html/repo/primer_heartsound/primer_heartsound.html . Accessed 17 Apr 2018

Bioscience heart sound database (2011) http://int-prop.lf2.cuni.cz/heart_sounds/h14/sound.html

Bentley P, Nordehn G, Coimbra M, Mannor S, Getz R (2011) The pascal classifying heart sounds challenge 2011 (chsc2011) results. http://www.peterjbentley.com/heartchallenge/index.html

Cardionics Inc. http://www.cardionics.com/learningcardiac.html

Physionet Challenge. https://www.physionet.org/challenge/2016

Kumar D, Carvalho Pd, Antunes M, Henriques J, Maldonado M, Schmidt R, Habetha J (2006) Wavelet transform and simplicity based heart murmur segmentation. In: 2006 Computers in Cardiology. IEEE, pp 173–176