• 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