Literature DB >> 32736910

Smartphone Use in Clinical Voice Recording and Acoustic Analysis: A Literature Review.

Danielle Petrizzo1, Peter S Popolo2.   

Abstract

OBJECTIVE: With the increase of smartphone use and availability over the last decade, mobile healthcare applications have become more accessible. Many of these applications allow users to track behaviors and goals, and acquire feedback and information while on the go. Recent studies appearing in the literature suggest that smartphones may offer a means of augmenting clinical voice assessment by recording individuals with voice disorders outside the clinic for the purpose of extracting acoustic characteristics. This review examines the effectiveness of smartphones in clinical voice assessment and treatment, as reported in the current literature.
METHODS: The PubMed database was searched using a combination and variation of different term related to smartphones, voice, and recording apps, in order to find articles that address the role of smartphones in clinical voice recording and assessment. RESULTS AND
CONCLUSION: Six studies published in the last 3 years were reviewed and examined in terms of types of device and operating systems used, types of subjects and disorders studied, voice parameters extracted, and microphones used. Considerations such as impact of environmental noise, and privacy and security issues are also examined. While smartphones and mobile apps have the potential to be valuable tools in voice assessment outside the clinic, further efforts are needed for them to be effectively used in a clinical setting.
Copyright © 2019 The Voice Foundation. All rights reserved.

Entities:  

Keywords:  Acoustic analysis; Clinical voice assessment; Mobile applications; Smartphones; Voice recording

Year:  2020        PMID: 32736910     DOI: 10.1016/j.jvoice.2019.10.006

Source DB:  PubMed          Journal:  J Voice        ISSN: 0892-1997            Impact factor:   2.009


  6 in total

1.  An iOS-based VoiceScreen application: feasibility for use in clinical settings-a pilot study.

Authors:  Virgilijus Uloza; Nora Ulozaite-Staniene; Tadas Petrauskas
Journal:  Eur Arch Otorhinolaryngol       Date:  2022-07-29       Impact factor: 3.236

2.  COVID-19 and the teacher's voice: self-perception and contributions of speech therapy to voice and communication during the pandemic.

Authors:  Katia Nemr; Marcia Simões-Zenari; Vanessa Cássia de Almeida; Glauciene Amaral Martins; Isabele Tiemi Saito
Journal:  Clinics (Sao Paulo)       Date:  2021-03-26       Impact factor: 2.365

3.  A mobile-assisted voice condition analysis system for Parkinson's disease: assessment of usability conditions.

Authors:  Javier Carrón; Yolanda Campos-Roca; Mario Madruga; Carlos J Pérez
Journal:  Biomed Eng Online       Date:  2021-11-21       Impact factor: 2.819

4.  Digital Content-Free Speech Analysis Tool to Measure Affective Distress in Mental Health: Evaluation Study.

Authors:  Peter Tonn; Lea Seule; Yoav Degani; Shani Herzinger; Amit Klein; Nina Schulze
Journal:  JMIR Form Res       Date:  2022-08-30

5.  Post-stroke respiratory complications using machine learning with voice features from mobile devices.

Authors:  Hae-Yeon Park; DoGyeom Park; Seungchul Lee; Sun Im; Hye Seon Kang; HyunBum Kim
Journal:  Sci Rep       Date:  2022-10-06       Impact factor: 4.996

6.  Automatic Detection of COVID-19 Based on Short-Duration Acoustic Smartphone Speech Analysis.

Authors:  Brian Stasak; Zhaocheng Huang; Sabah Razavi; Dale Joachim; Julien Epps
Journal:  J Healthc Inform Res       Date:  2021-03-11
  6 in total

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