Abbas, 2010 - Google Patents
Concept development, design, analysis, and performance evaluation of an automated computerized auscultation and diagnostic system for respiratory soundAbbas, 2010
View PDF- Document ID
- 16743937280595132594
- Author
- Abbas A
- Publication year
External Links
Snippet
Respiratory sounds are of significance as they provide valuable information on the health of the respiratory system. Sounds emanating from the respiratory system are uneven, and vary significantly from one individual to another and for the same individual over time. In and of …
- 238000002555 auscultation 0 title abstract description 121
Classifications
-
- 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
- A61B5/7253—Details of waveform analysis characterised by using transforms
- A61B5/7257—Details of waveform analysis characterised by using transforms using Fourier transforms
-
- 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
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B7/00—Instruments for auscultation
- A61B7/003—Detecting lung or respiration noise
-
- 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
- A61B5/08—Detecting, measuring or recording devices for evaluating the respiratory organs
- A61B5/085—Measuring impedance of respiratory organs or lung elasticity
-
- 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
- A61B5/08—Detecting, measuring or recording devices for evaluating the respiratory organs
- A61B5/0816—Measuring devices for examining respiratory frequency
-
- 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
- A61B5/08—Detecting, measuring or recording devices for evaluating the respiratory organs
- A61B5/087—Measuring breath flow
-
- 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
- A61B5/6813—Specially adapted to be attached to a specific body part
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B2562/00—Details of sensors; Constructional details of sensor housings or probes; Accessories for sensors
- A61B2562/02—Details of sensors specially adapted for in-vivo measurements
- A61B2562/0204—Acoustic sensors
-
- 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
- A61B5/74—Details of notification to user or communication with user or patient ; user input means
- A61B5/7405—Details of notification to user or communication with user or patient ; user input means using sound
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B7/00—Instruments for auscultation
- A61B7/008—Detecting noise of gastric tract, e.g. caused by voiding
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Andrès et al. | Respiratory sound analysis in the era of evidence-based medicine and the world of medicine 2.0 | |
CN103687540B (en) | Use respiratory murmur amplitude spectrogram and the pitch contour diagnosis OSA/CSA of record | |
JP5525476B2 (en) | Respiratory event detection system and method | |
Moussavi | Fundamentals of respiratory sounds and analysis | |
US20200093423A1 (en) | Estimation of sleep quality parameters from whole night audio analysis | |
JP2001505085A (en) | Phonopneograph system | |
Dokur | Respiratory sound classification by using an incremental supervised neural network | |
Becker et al. | Analysis of adventitious lung sounds originating from pulmonary tuberculosis | |
Rao et al. | Improved detection of lung fluid with standardized acoustic stimulation of the chest | |
Wu et al. | Automatic auscultation classification of abnormal lung sounds in critical patients through deep learning models | |
Sebastian et al. | A preliminary study of the automatic classification of the site of airway collapse in OSA patients using snoring signals | |
Abbas | Concept development, design, analysis, and performance evaluation of an automated computerized auscultation and diagnostic system for respiratory sound | |
RU2368307C1 (en) | Method of bronchial obstruction diagnostics | |
Nabi et al. | Recommendations related to wheeze sound data acquisition | |
Andres et al. | Respiratory sounds analysis in the world of health 2.0 and medicine 2.0 | |
Curran et al. | Using acoustic sensors to discriminate between nasal and mouth breathing | |
Khodaie et al. | Design and Implementation of an Apparatus for Respiratory Parameters Estimation Based on Acoustic Methods | |
Shaharum et al. | Tracheal sound reliability for wheeze data collection method: A review | |
Muthusamy et al. | An overview of respiratory airflow estimation techniques: Acoustic vs non-acoustic | |
Phettom et al. | Automatic identification of abnormal lung sounds using time-frequency analysis and convolutional neural network | |
Kanji | Classification of Auscultation Sounds Using a Smart System | |
Skalicky et al. | Respiratory sounds as a source of information in asthma diagnosis | |
Amper-West et al. | Respiratory sound analysis as a diagnosis tool for breathing disorders | |
Laštovička-Medin et al. | Utilization of Low-Cost Sound Sensors with a built in Microphone as a Respiratory Pattern Sound Indicator and a Risk Mitigation Tool: In response to COVID-19 | |
Moussa et al. | Time-Frequency analysis versus cepstrum analysis for validating respiratory sounds in infants and children |