ArticleProceedings of the National Academy of Sciences of the United States of America2023
Closed-loop network of skin-interfaced wireless devices for quantifying vocal fatigue and providing user feedback.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 26 citations in OpenAlex.
- Triboelectric Wearable Sensors for Human-Centric Smart Electronics: From Self-Powered Sensing to Artificial Intelligence-Assisted Human-Machine Interface Systems.Nano-micro letters · 2026Review
- Digital health technology for Parkinson's disease with comprehensive monitoring and artificial intelligence-enabled haptic biofeedback for bulbar dysfunction.Journal of Parkinson's disease · 2025Article
- Deep-Learning-Based Analysis of Electronic Skin Sensing Data.Sensors (Basel, Switzerland) · 2025Review
- Sensory artificial cilia for in situ monitoring of airway physiological properties.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Consistency of the Signature of Phonotraumatic Vocal Hyperfunction Across Different Ambulatory Voice Measures.Journal of speech, language, and hearing research : JSLHR · 2024Article
- Article
- A wirelessly programmable, skin-integrated thermo-haptic stimulator system for virtual reality.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Wireless wearable devices for continuous monitoring of body sounds and motions.Clinical and translational medicine · 2024Article
- Wireless broadband acousto-mechanical sensing system for continuous physiological monitoring.Nature medicine · 2023Article
- Artificial Intelligence-Powered Electronic Skin.Nature machine intelligence · 2023Article
Corrections and comments
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Authors and funding
18 authors at 2 institutions in 2 countries.
Funding
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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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.