[go: up one dir, main page]

Bathe et al., 2022 - Google Patents

Heart Murmur Detection from Phonocardiogram Recordings using Deep Learning Techniques

Bathe et al., 2022

Document ID
1319772995479961661
Author
Bathe N
Ingale V
Publication year
Publication venue
2022 International Conference on Futuristic Technologies (INCOFT)

External Links

Snippet

The purpose of this research is to Figure out where the murmur's boundaries are in heartbeat sound. Murmurs in the heart can help diagnose a wide range of heart problems, including natural or artificial valve dysfunction and heart failure. The PCG has some useful …
Continue reading at ieeexplore.ieee.org (other versions)

Classifications

    • G—PHYSICS
    • G10—MUSICAL INSTRUMENTS; ACOUSTICS
    • G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
    • G10L25/00—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00-G10L21/00
    • G10L25/48—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00-G10L21/00 specially adapted for particular use
    • G10L25/51—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00-G10L21/00 specially adapted for particular use for comparison or discrimination
    • G10L25/66—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00-G10L21/00 specially adapted for particular use for comparison or discrimination for extracting parameters related to health condition
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Detecting, measuring or recording for diagnostic purposes; Identification of persons
    • A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7235—Details of waveform analysis
    • A61B5/7253—Details of waveform analysis characterised by using transforms
    • G—PHYSICS
    • G10—MUSICAL INSTRUMENTS; ACOUSTICS
    • G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
    • G10L25/00—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00-G10L21/00
    • G10L25/03—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00-G10L21/00 characterised by the type of extracted parameters
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Detecting, measuring or recording for diagnostic purposes; Identification of persons
    • A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7235—Details of waveform analysis
    • A61B5/7264—Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems
    • G—PHYSICS
    • G10—MUSICAL INSTRUMENTS; ACOUSTICS
    • G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
    • G10L17/00—Speaker identification or verification
    • G10L17/26—Recognition of special voice characteristics, e.g. for use in lie detectors; Recognition of animal voices
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B7/00—Instruments for auscultation
    • A61B7/02—Stethoscopes
    • A61B7/04—Electric stethoscopes
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Detecting, measuring or recording for diagnostic purposes; Identification of persons
    • A61B5/04—Detecting, measuring or recording bioelectric signals of the body of parts thereof
    • A61B5/0402—Electrocardiography, i.e. ECG
    • A61B5/0452—Detecting specific parameters of the electrocardiograph cycle
    • G—PHYSICS
    • G10—MUSICAL INSTRUMENTS; ACOUSTICS
    • G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
    • G10L15/00—Speech recognition

Similar Documents

Publication Publication Date Title
Koike et al. Audio for audio is better? An investigation on transfer learning models for heart sound classification
EP3885974B1 (en) Methods and systems for identifying presence of abnormal heart sounds of a subject
Vhaduri et al. Nocturnal cough and snore detection in noisy environments using smartphone-microphones
Lubaib et al. The heart defect analysis based on PCG signals using pattern recognition techniques
Vrindavanam et al. Machine learning based COVID-19 cough classification models-a comparative analysis
Kao et al. Automatic phonocardiograph signal analysis for detecting heart valve disorders
US8690789B2 (en) Categorizing automatically generated physiological data based on industry guidelines
Grønnesby et al. Feature extraction for machine learning based crackle detection in lung sounds from a health survey
Singh et al. Short unsegmented PCG classification based on ensemble classifier
Vepa Classification of heart murmurs using cepstral features and support vector machines
Tang et al. Classification of normal/abnormal heart sound recordings based on multi-domain features and back propagation neural network
Ge et al. Detection of pulmonary hypertension associated with congenital heart disease based on time-frequency domain and deep learning features
Das et al. Supervised model for Cochleagram feature based fundamental heart sound identification
Gupta et al. Segmentation and classification of heart sounds
Pessoa et al. Pediatric respiratory sound classification using a dual input deep learning architecture
Putra et al. Study of feature extraction methods to detect valvular heart disease (vhd) using a phonocardiogram
Selvakumari et al. A voice activity detector using SVM and Naïve Bayes classification algorithm
Farzam et al. The diagnosis of heart diseases based on pcg signals using mfcc coefficients and svm classifier
Hasan et al. Comparative study on heart anomalies early detection using phonocardiography (PCG) signals
Wu et al. Inspiration of prototype knowledge: Introducing a meta-learning approach to heart sound classification
Porieva et al. Investigation of lung sounds features for detection of bronchitis and COPD using machine learning methods
Chen et al. Heart sound analysis based on extended features and related factors
Rajan et al. Wavelet based bank of correlators approach for phonocardiogram signal classification
Bathe et al. Heart Murmur Detection from Phonocardiogram Recordings using Deep Learning Techniques
US10368804B2 (en) Device, system and method for detection of fluid accumulation