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

Mehta et al., 2015 - Google Patents

Using ambulatory voice monitoring to investigate common voice disorders: Research update

Mehta et al., 2015

View HTML
Document ID
13728500406148697930
Author
Mehta D
Van Stan J
Zañartu M
Ghassemi M
Guttag J
Espinoza V
Cortés J
Cheyne H
Hillman R
Publication year
Publication venue
Frontiers in bioengineering and biotechnology

External Links

Snippet

Many common voice disorders are chronic or recurring conditions that are likely to result from inefficient and/or abusive patterns of vocal behavior, referred to as vocal hyperfunction. The clinical management of hyperfunctional voice disorders would be greatly enhanced by …
Continue reading at www.frontiersin.org (HTML) (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
    • A61B5/7264—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
    • 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
    • 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
    • A61B5/68—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
    • 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
    • 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
    • A61B5/0476—Electroencephalography
    • 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
    • A61B5/145—Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue
    • 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
    • G—PHYSICS
    • G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09B—EDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
    • G09B5/00—Electrically-operated educational appliances

Similar Documents

Publication Publication Date Title
Mehta et al. Using ambulatory voice monitoring to investigate common voice disorders: Research update
Espinoza et al. Glottal aerodynamic measures in women with phonotraumatic and nonphonotraumatic vocal hyperfunction
Ghassemi et al. Learning to detect vocal hyperfunction from ambulatory neck-surface acceleration features: Initial results for vocal fold nodules
Van Stan et al. Differences in weeklong ambulatory vocal behavior between female patients with phonotraumatic lesions and matched controls
Van Stan et al. Average ambulatory measures of sound pressure level, fundamental frequency, and vocal dose do not differ between adult females with phonotraumatic lesions and matched control subjects
Fryd et al. Estimating subglottal pressure from neck-surface acceleration during normal voice production
Rong Automated acoustic analysis of oral diadochokinesis to assess bulbar motor involvement in amyotrophic lateral sclerosis
Van Stan et al. Differences in daily voice use measures between female patients with nonphonotraumatic vocal hyperfunction and matched controls
Whitfield et al. Examining acoustic and kinematic measures of articulatory working space: Effects of speech intensity
Whitfield et al. Effects of concurrent manual task performance on connected speech acoustics in individuals with Parkinson disease
Mehta et al. Smartphone-based detection of voice disorders by long-term monitoring of neck acceleration features
Hlavnička Automated analysis of speech disorders in neurodegenerative diseases
Toles et al. Differences between female singers with phonotrauma and vocally healthy matched controls in singing and speaking voice use during 1 week of ambulatory monitoring
Van Stan et al. Changes in a Daily Phonotrauma Index after laryngeal surgery and voice therapy: Implications for the role of daily voice use in the etiology and pathophysiology of phonotraumatic vocal hyperfunction
Marks et al. Estimation of subglottal pressure from neck surface vibration in patients with voice disorders
Van Stan et al. Changes in the Daily Phonotrauma Index following the use of voice therapy as the sole treatment for phonotraumatic vocal hyperfunction in females
Lin et al. Improved subglottal pressure estimation from neck-surface vibration in healthy speakers producing non-modal phonation
Pierce et al. A field-based approach to establish normative acoustic data for healthy female voices
Ibarra et al. Estimation of subglottal pressure, vocal fold collision pressure, and intrinsic laryngeal muscle activation from neck-surface vibration using a neural network framework and a voice production model
De Boer et al. Application of linear discriminant analysis to the long-term averaged spectra of simulated disorders of oral-nasal balance
Lien et al. Comparison of voice relative fundamental frequency estimates derived from an accelerometer signal and low-pass filtered and unprocessed microphone signals
Cortés et al. Ambulatory monitoring of subglottal pressure estimated from neck-surface vibration in individuals with and without voice disorders
Nudelman et al. Daily Phonotrauma Index: An objective indicator of large differences in self-reported vocal status in the daily life of females with phonotraumatic vocal hyperfunction
Vojtech et al. Acoustic identification of the voicing boundary during intervocalic offsets and onsets based on vocal fold vibratory measures
Kohlberg et al. Development of a low-cost, noninvasive, portable visual speech recognition program