Steele et al., 2013 - Google Patents
Noninvasive detection of thin-liquid aspiration using dual-axis swallowing accelerometrySteele et al., 2013
View HTML- Document ID
- 15325959979814099928
- Author
- Steele C
- Sejdić E
- Chau T
- Publication year
- Publication venue
- Dysphagia
External Links
Snippet
Aspiration (the entry of foreign contents into the upper airway) is a serious concern for individuals with dysphagia and can lead to pneumonia. However, overt signs of aspiration, such as cough, are not always present, making noninstrumental diagnosis challenging …
- 230000000152 swallowing 0 title abstract description 62
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
- G06F19/30—Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
- G06F19/34—Computer-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
- G06F19/345—Medical expert systems, neural networks or other automated diagnosis
-
- 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
- A61B5/48—Other medical applications
- A61B5/4806—Sleep evaluation
- A61B5/4818—Sleep apnoea
-
- 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
-
- 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
- A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
- A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
- A61B5/1116—Determining posture transitions
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
- G06F19/30—Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
- G06F19/32—Medical data management, e.g. systems or protocols for archival or communication of medical images, computerised patient records or computerised general medical references
-
- 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
- A61B5/41—Detecting, measuring or recording for evaluating the immune or lymphatic systems
-
- 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
- A61B5/0002—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA 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
- G06Q50/00—Systems or methods specially adapted for a specific business sector, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/22—Health care, e.g. hospitals; Social work
-
- 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
- A61B5/16—Devices for psychotechnics; Testing reaction times; Devices for evaluating the psychological state
-
- 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
- A61B5/40—Detecting, measuring or recording for evaluating the nervous system
- A61B5/4076—Diagnosing or monitoring particular conditions of the nervous system
-
- 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
- A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
- A61B5/6801—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Steele et al. | Noninvasive detection of thin-liquid aspiration using dual-axis swallowing accelerometry | |
US11033221B2 (en) | Method and device for swallowing impairment detection | |
EP3776586B1 (en) | Managing respiratory conditions based on sounds of the respiratory system | |
Oung et al. | Technologies for assessment of motor disorders in Parkinson’s disease: a review | |
Li et al. | Design of wearable breathing sound monitoring system for real-time wheeze detection | |
Khalifa et al. | Non-invasive identification of swallows via deep learning in high resolution cervical auscultation recordings | |
Jayatilake et al. | Smartphone-based real-time assessment of swallowing ability from the swallowing sound | |
Mao et al. | Neck sensor-supported hyoid bone movement tracking during swallowing | |
Kurosu et al. | Detection of swallow kinematic events from acoustic high-resolution cervical auscultation signals in patients with stroke | |
WO2014167460A1 (en) | Methods to monitor consciousness | |
Donohue et al. | A preliminary investigation of whether HRCA signals can differentiate between swallows from healthy people and swallows from people with neurodegenerative diseases | |
Ellerston et al. | Quantitative measures of swallowing deficits in patients with Parkinson’s disease | |
O’Brien et al. | Advanced machine learning tools to monitor biomarkers of dysphagia: a wearable sensor proof-of-concept study | |
Coyle et al. | High-resolution cervical auscultation and data science: new tools to address an old problem | |
Golabbakhsh et al. | Automated acoustic analysis in detection of spontaneous swallows in Parkinson’s disease | |
Campano et al. | A review of voice disorders in school-aged children | |
Donohue et al. | Establishing reference values for temporal kinematic swallow events across the lifespan in healthy community dwelling adults using high-resolution cervical auscultation | |
Anand et al. | A comprehensive survey on the biomedical signal processing methods for the detection of COVID-19 | |
Schwartz et al. | A preliminary investigation of similarities of high resolution cervical auscultation signals between thin liquid barium and water swallows | |
US20220125372A1 (en) | Methods and devices for screening swallowing impairment | |
Castillo-Escario et al. | Detection of sleep-disordered breathing in patients with spinal cord injury using a smartphone | |
Qiao et al. | Research on a real-time dynamic monitoring method for silent aspiration after stroke based on semisupervised deep learning: A protocol study | |
Jayatilake et al. | Swallowscope: A smartphone based device for the assessment of swallowing ability | |
Wu et al. | Phenotype-based and Self-learning Inter-individual Sleep Apnea Screening with a Level IV Monitoring System | |
Behar et al. | From sleep medicine to medicine during sleep |