NDLI: Smartphone-based detection of voice disorders by long-term monitoring of neck acceleration features

Content Provider	IEEE Xplore Digital Library
Author	Mehta, Daryush D. Zanartu, Matias Van Stan, Jarrad H. Feng, Shengran W. Cheyne, Harold A. Hillman, Robert E.
Copyright Year	2013
Description	Author affiliation: Department of Electronic Engineering, Universidad Tecnica Federico Santa Maria, Valparaiso, Chile (Zanartu, Matias) \|\| Bioacoustic Research Program, Lab of Ornithology, Cornell University, Ithaca, New York 14853 (Cheyne, Harold A.) \|\| Center for Laryngeal Surgery & Voice Rehabilitation, Massachusetts General Hospital, Boston, Massachusetts 02114 (Mehta, Daryush D.; Van Stan, Jarrad H.; Feng, Shengran W.; Hillman, Robert E.)
Abstract	Many common voice disorders are chronic or recurring conditions that are likely to result from inefficient and/or abusive patterns of vocal behavior, termed vocal hyperfunction. Thus an ongoing goal in clinical voice assessment is the long-term monitoring of noninvasively derived measures to track hyperfunction. This paper reports on a smartphone-based voice health monitor that records the high-bandwidth accelerometer signal from the neck skin above the collarbone. Data collection is under way from patients with vocal hyperfunction and matched-control subjects to create a dataset designed to identify the best set of diagnostic measures for hyperfunctional patterns of vocal behavior. Vocal status is tracked from neck acceleration using previously-developed vocal dose measures and novel model-based features of glottal airflow estimates. Clinically, the treatment of hyperfunctional disorders would be greatly enhanced by the ability to unobtrusively monitor and quantify detrimental behaviors and, ultimately, to provide real-time biofeedback that could facilitate healthier voice use.
Starting Page	1
Ending Page	6
File Size	396094
Page Count	6
File Format	PDF
ISBN	9781479903313
ISSN	23251433
e-ISBN	9781479903306
DOI	10.1109/BSN.2013.6575517
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-05-06
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Accelerometers voice use Atmospheric modeling vocal hyperfunction Time measurement Skin Neck Calibration voice production model Monitoring accelerometer sensor wearable voice sensor
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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