DocumentCode :
1257320
Title :
Mobile Voice Health Monitoring Using a Wearable Accelerometer Sensor and a Smartphone Platform
Author :
Mehta, D.D. ; Zañartu, M. ; Feng, S.W. ; Cheyne, H.A. ; Hillman, R.E.
Author_Institution :
Center for Laryngeal Surg. & Voice Rehabilitation, Massachusetts Gen. Hosp., Boston, MA, USA
Volume :
59
Issue :
11
fYear :
2012
Firstpage :
3090
Lastpage :
3096
Abstract :
Many common voice disorders are chronic or recurring conditions that are likely to result from faulty and/or abusive patterns of vocal behavior, referred to generically as vocal hyperfunction. An ongoing goal in clinical voice assessment is the development and use of noninvasively derived measures to quantify and track the daily status of vocal hyperfunction so that the diagnosis and treatment of such behaviorally based voice disorders can be improved. This paper reports on the development of a new, versatile, and cost-effective clinical tool for mobile voice monitoring that acquires the high-bandwidth signal from an accelerometer sensor placed on the neck skin above the collarbone. Using a smartphone as the data acquisition platform, the prototype device provides a user-friendly interface for voice use monitoring, daily sensor calibration, and periodic alert capabilities. Pilot data are reported from three vocally normal speakers and three subjects with voice disorders to demonstrate the potential of the device to yield standard measures of fundamental frequency and sound pressure level and model-based glottal airflow properties. The smartphone-based platform enables future clinical studies for the identification of the best set of measures for differentiating between normal and hyperfunctional patterns of voice use.
Keywords :
acceleration measurement; accelerometers; acoustic signal processing; biomedical equipment; biomedical measurement; body sensor networks; bone; calibration; data acquisition; health care; medical disorders; medical signal processing; patient diagnosis; patient monitoring; skin; smart phones; speech; speech processing; voice equipment; abusive patterns; acoustic signal processing; behaviorally based voice disorder diagnosis; behaviorally based voice disorder treatment; chronic conditions; clinical voice assessment; collarbone; daily sensor calibration; data acquisition platform; faulty patterns; high-bandwidth signal; mobile voice health monitoring; model-based glottal airflow properties; neck skin; periodic alert capability; recurring conditions; smartphone platform; sound pressure level; user-friendly interface; vocal behavior; vocal hyperfunction; vocally normal speakers; wearable accelerometer sensor; Accelerometers; Acoustics; Biomedical measurements; Microphones; Monitoring; Neck; Skin; Accelerometer sensor; vocal hyperfunction; voice production model; voice use; wearable voice sensor; Accelerometry; Algorithms; Case-Control Studies; Cellular Phone; Humans; Monitoring, Ambulatory; Phonation; Pilot Projects; Pulmonary Ventilation; Signal Processing, Computer-Assisted; Telemetry; Voice; Voice Disorders;
fLanguage :
English
Journal_Title :
Biomedical Engineering, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9294
Type :
jour
DOI :
10.1109/TBME.2012.2207896
Filename :
6257444
Link To Document :
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