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Jeong H, Yoo JY, Ouyang W, Greane ALJX, Wiebe AJ, Huang I, Lee YJ, Lee JY, Kim J, Ni X, Kim S, Huynh HLT, Zhong I, Chin YX, Gu J, Johnson AM, Brancaccio T, Rogers JA. Closed-loop network of skin-interfaced wireless devices for quantifying vocal fatigue and providing user feedback. Proc Natl Acad Sci U S A 2023; 120:e2219394120. [PMID: 36802437 PMCID: PMC9992836 DOI: 10.1073/pnas.2219394120] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2022] [Accepted: 01/12/2023] [Indexed: 02/23/2023] Open
Abstract
Vocal fatigue is a measurable form of performance fatigue resulting from overuse of the voice and is characterized by negative vocal adaptation. Vocal dose refers to cumulative exposure of the vocal fold tissue to vibration. Professionals with high vocal demands, such as singers and teachers, are especially prone to vocal fatigue. Failure to adjust habits can lead to compensatory lapses in vocal technique and an increased risk of vocal fold injury. Quantifying and recording vocal dose to inform individuals about potential overuse is an important step toward mitigating vocal fatigue. Previous work establishes vocal dosimetry methods, that is, processes to quantify vocal fold vibration dose but with bulky, wired devices that are not amenable to continuous use during natural daily activities; these previously reported systems also provide limited mechanisms for real-time user feedback. This study introduces a soft, wireless, skin-conformal technology that gently mounts on the upper chest to capture vibratory responses associated with vocalization in a manner that is immune to ambient noises. Pairing with a separate, wirelessly linked device supports haptic feedback to the user based on quantitative thresholds in vocal usage. A machine learning-based approach enables precise vocal dosimetry from the recorded data, to support personalized, real-time quantitation and feedback. These systems have strong potential to guide healthy behaviors in vocal use.
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Affiliation(s)
- Hyoyoung Jeong
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL60208
- Department of Electrical and Computer Engineering, University of California, Davis, CA95616
| | - Jae-Young Yoo
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL60208
| | - Wei Ouyang
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL60208
| | - Aurora Lee Jean Xue Greane
- Bienen School of Music, Northwestern University, Evanston, IL60208
- Department of Biomedical Engineering, Northwestern University, Evanston, IL60208
| | | | - Ivy Huang
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL60208
- Department of Materials Science Engineering, Northwestern University, Evanston, IL60208
| | - Young Joong Lee
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL60208
- Department of Mechanical Engineering, Northwestern University, Evanston, IL60208
- Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA02142
| | - Jong Yoon Lee
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL60208
- Sibel Health, Niles, IL60714
| | - Joohee Kim
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL60208
- Center for Bionics, Biomedical Research Institute, Korea Institute of Science and Technology, Seoul02792, South Korea
| | - Xinchen Ni
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL60208
| | - Suyeon Kim
- Department of Biomedical Engineering, Northwestern University, Evanston, IL60208
| | - Huong Le-Thien Huynh
- Department of Biomedical Engineering, Northwestern University, Evanston, IL60208
| | - Isabel Zhong
- Department of Biomedical Engineering, Northwestern University, Evanston, IL60208
| | - Yu Xuan Chin
- Department of Biomedical Engineering, Northwestern University, Evanston, IL60208
| | - Jianyu Gu
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL60208
| | - Aaron M. Johnson
- Department of Otolaryngology-Head and Neck Surgery, Grossman School of Medicine, New York University, New York, NY10016
- Department of Rehabilitation Medicine, Grossman School of Medicine, New York University, New York, NY10016
| | | | - John A. Rogers
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL60208
- Department of Biomedical Engineering, Northwestern University, Evanston, IL60208
- Department of Materials Science Engineering, Northwestern University, Evanston, IL60208
- Department of Mechanical Engineering, Northwestern University, Evanston, IL60208
- Department of Electrical and Computer Engineering, Northwestern University, Evanston, IL60208
- Department of Chemistry, Northwestern University, Evanston, IL60208
- Department of Neurological Surgery, Northwestern University, Evanston, IL60208
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