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Accepted for/Published in: JMIR Formative Research

Date Submitted: May 23, 2022
Date Accepted: Jul 6, 2022

The final, peer-reviewed published version of this preprint can be found here:

Wearable Neck Surface Accelerometers for Occupational Vocal Health Monitoring: Instrument and Analysis Validation Study

Lei Z, Martignetti L, Ridgway C, Peacock S, Sakata JT, Li-Jessen NYK

Wearable Neck Surface Accelerometers for Occupational Vocal Health Monitoring: Instrument and Analysis Validation Study

JMIR Form Res 2022;6(8):e39789

DOI: 10.2196/39789

PMID: 35930317

PMCID: 9391979

Wearable Neck Surface Accelerometers for Occupational Vocal Health Monitoring: An Instrument and Analysis Validation Study

  • Zhengdong Lei; 
  • Lisa Martignetti; 
  • Chelsea Ridgway; 
  • Simon Peacock; 
  • Jon T. Sakata; 
  • Nicole Y. K. Li-Jessen

ABSTRACT

Background:

Neck surface accelerometer (NSA) wearable devices have been developed for voice and upper airway health monitoring. As opposed to acoustic sounds, NSA senses mechanical vibrations propagated from the vocal tract to neck skin, which are indicative of a person’s voice and airway conditions. NSA signals do not carry identifiable speech information and a speaker’s privacy is thus protected, which is important and necessary for continuous wearable monitoring. Our device was already tested for its durable endurance and signal processing algorithms in controlled laboratory conditions. T

Objective:

he goal of this study was to further evaluate both instrument and analysis validity in a group of occupational vocal users, namely voice actors, who use their voices extensively at work in an ecologically valid setting.

Methods:

A total of 16 professional voice actors (age range: 21-50 years old; 11 females and 5 males) participated in this study. All participants were mounted with an NSA on their sternal notches during the voice acting and voice assessment sessions. The voice acting session was 4-hour long, directed by a voice director in a professional sound studio. Voice assessment sessions were conducted before, during and 48 hours after the acting session. The assessment included phonation tasks of passage reading, sustained vowels, maximum vowel phonation and pitch glides. Clinical acoustic metrics (e.g., fundamental frequency, cepstral measures etc.) and a vocal dose measure (i.e., accumulated distance dose from acting) were computed from NSA signals. A commonly used online questionnaire of Self-Administrated Voice Rating questionnaire (SAVRa) was also implemented to track participants’ perception of vocal fatigue.

Results:

The NSA wearables stayed in place for all participants despite active body movements during the acting. The ensued body noise did not interfere with the NSA signal quality. All planned acoustic metrics were successfully derived from NSA signals and their numerical values were comparable with literature data. For a 4-hour long voice acting, the averaged distance dose was about 8,354 meters with no gender differences. Participants perceived vocal fatigue as early as 2 hours after the start of voice acting, with recovery 24-48 hours after the acting session. Among all acoustic metrics across phonation tasks, cepstral peak prominence and spectral tilt from the passage reading most closely mirrored trends in perceived fatigue.

Conclusions:

The ecological validity of an in-house NSA wearable was vetted in a workplace setting. One key application of this wearable is to prompt occupational voice users when their vocal safety limits are reached for duly protection. Signal processing algorithms can thus be further developed for near real-time estimation of clinically relevant metrics, such as accumulated distance dose, cepstral peak prominence and spectral tilt. This functionality will enable continuous self-awareness of vocal behavior and protection of vocal safety in occupational voice users. Clinical Trial: N/A


 Citation

Please cite as:

Lei Z, Martignetti L, Ridgway C, Peacock S, Sakata JT, Li-Jessen NYK

Wearable Neck Surface Accelerometers for Occupational Vocal Health Monitoring: Instrument and Analysis Validation Study

JMIR Form Res 2022;6(8):e39789

DOI: 10.2196/39789

PMID: 35930317

PMCID: 9391979

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