[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

Bousefsaf et al., 2019 - Google Patents

3D convolutional neural networks for remote pulse rate measurement and mapping from facial video

Bousefsaf et al., 2019

View HTML
Document ID
11279821114285852863
Author
Bousefsaf F
Pruski A
Maaoui C
Publication year
Publication venue
Applied Sciences

External Links

Snippet

Remote pulse rate measurement from facial video has gained particular attention over the last few years. Research exhibits significant advancements and demonstrates that common video cameras correspond to reliable devices that can be employed to measure a large set …
Continue reading at www.mdpi.com (HTML) (other versions)

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F19/00Digital computing or data processing equipment or methods, specially adapted for specific applications
    • G06F19/30Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
    • G06F19/34Computer-assisted medical diagnosis or treatment, e.g. computerised prescription or delivery of medication or diets, computerised local control of medical devices, medical expert systems or telemedicine
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62Methods or arrangements for recognition using electronic means
    • G06K9/6217Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F19/00Digital computing or data processing equipment or methods, specially adapted for specific applications
    • G06F19/30Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
    • G06F19/32Medical data management, e.g. systems or protocols for archival or communication of medical images, computerised patient records or computerised general medical references
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Systems or methods specially adapted for a specific business sector, e.g. utilities or tourism
    • G06Q50/10Services
    • G06Q50/22Health care, e.g. hospitals; Social work
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Detecting, measuring or recording for diagnostic purposes; Identification of persons
    • A61B5/72Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7235Details of waveform analysis
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/36Image preprocessing, i.e. processing the image information without deciding about the identity of the image
    • G06K9/46Extraction of features or characteristics of the image
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/10Image acquisition modality
    • G06T2207/10024Color image
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/30Subject of image; Context of image processing
    • G06T2207/30004Biomedical image processing
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Detecting, measuring or recording for diagnostic purposes; Identification of persons
    • A61B5/04Detecting, measuring or recording bioelectric signals of the body of parts thereof
    • A61B5/0402Electrocardiography, i.e. ECG
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Detecting, measuring or recording for diagnostic purposes; Identification of persons
    • A61B5/0059Detecting, measuring or recording for diagnostic purposes; Identification of persons using light, e.g. diagnosis by transillumination, diascopy, fluorescence
    • A61B5/0077Devices for viewing the surface of the body, e.g. camera, magnifying lens
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Detecting, measuring or recording for diagnostic purposes; Identification of persons
    • A61B5/04Detecting, measuring or recording bioelectric signals of the body of parts thereof
    • A61B5/0476Electroencephalography

Similar Documents

Publication Publication Date Title
Bousefsaf et al. 3D convolutional neural networks for remote pulse rate measurement and mapping from facial video
Ni et al. A review of deep learning-based contactless heart rate measurement methods
Ji et al. Electrocardiogram classification based on faster regions with convolutional neural network
Liang et al. Photoplethysmography and deep learning: enhancing hypertension risk stratification
Oh et al. The design of CNN architectures for optimal six basic emotion classification using multiple physiological signals
Gudi et al. Real-time webcam heart-rate and variability estimation with clean ground truth for evaluation
Gambi et al. Heart rate detection using microsoft kinect: Validation and comparison to wearable devices
Liu et al. Classification of photoplethysmographic signal quality with deep convolution neural networks for accurate measurement of cardiac stroke volume
Vo et al. An efficient and robust deep learning method with 1-D octave convolution to extract fetal electrocardiogram
Brieva et al. A contactless respiratory rate estimation method using a hermite magnification technique and convolutional neural networks
Yang et al. Contactless measurement of vital signs using thermal and RGB cameras: A study of COVID 19-related health monitoring
Premkumar et al. Intelligent remote photoplethysmography-based methods for heart rate estimation from face videos: A survey
Liu et al. Heart rate measurement based on 3d central difference convolution with attention mechanism
Lee et al. Vision-based measurement of heart rate from ballistocardiographic head movements using unsupervised clustering
Haugg et al. Effectiveness of remote PPG construction methods: a preliminary analysis
Molinaro et al. Multi-roi spectral approach for the continuous remote cardio-respiratory monitoring from mobile device built-in cameras
van Es et al. Contactless cardiovascular assessment by imaging photoplethysmography: A comparison with wearable monitoring
Al-Zyoud et al. Towards a machine learning-based digital twin for non-invasive human bio-signal fusion
Haugg et al. Grgb rppg: an efficient low-complexity remote photoplethysmography-based algorithm for heart rate estimation
Nagy et al. Continuous camera-based premature-infant monitoring algorithms for NICU
Desquins et al. A survey of photoplethysmography and imaging photoplethysmography quality assessment methods
Kuang et al. Efficient spatiotemporal attention network for remote heart rate variability analysis
Xu et al. Representation learning for motor imagery recognition with deep neural network
Lee et al. Fusion method to estimate heart rate from facial videos based on RPPG and RBCG
Brieva et al. Non-contact breathing rate estimation using machine learning with an optimized architecture