Literature DB >> 34056518

Voice for Health: The Use of Vocal Biomarkers from Research to Clinical Practice.

Guy Fagherazzi1, Aurélie Fischer1, Muhannad Ismael2, Vladimir Despotovic3.   

Abstract

Diseases can affect organs such as the heart, lungs, brain, muscles, or vocal folds, which can then alter an individual's voice. Therefore, voice analysis using artificial intelligence opens new opportunities for healthcare. From using vocal biomarkers for diagnosis, risk prediction, and remote monitoring of various clinical outcomes and symptoms, we offer in this review an overview of the various applications of voice for health-related purposes. We discuss the potential of this rapidly evolving environment from a research, patient, and clinical perspective. We also discuss the key challenges to overcome in the near future for a substantial and efficient use of voice in healthcare.
Copyright © 2021 by S. Karger AG, Basel.

Entities:  

Keywords:  Artificial intelligence; COVID-19; Signal decomposition; Smart home; Vocal biomarker; Voice

Year:  2021        PMID： 34056518      PMCID： PMC8138221          DOI： 10.1159/000515346

Source DB:  PubMed          Journal:  Digit Biomark        ISSN： 2504-110X


  50 in total

1.  Voice Signal Characteristics Are Independently Associated With Coronary Artery Disease.

Authors:  Elad Maor; Jaskanwal D Sara; Diana M Orbelo; Lilach O Lerman; Yoram Levanon; Amir Lerman
Journal:  Mayo Clin Proc       Date:  2018-04-12       Impact factor: 7.616

2.  Major depressive disorder discrimination using vocal acoustic features.

Authors:  Takaya Taguchi; Hirokazu Tachikawa; Kiyotaka Nemoto; Masayuki Suzuki; Toru Nagano; Ryuki Tachibana; Masafumi Nishimura; Tetsuaki Arai
Journal:  J Affect Disord       Date:  2017-08-16       Impact factor: 4.839

3.  Traditional and Digital Biomarkers: Two Worlds Apart?

Authors:  Lmar M Babrak; Joseph Menetski; Michael Rebhan; Giovanni Nisato; Marc Zinggeler; Noé Brasier; Katja Baerenfaller; Thomas Brenzikofer; Laurenz Baltzer; Christian Vogler; Leo Gschwind; Cornelia Schneider; Fabian Streiff; Peter M A Groenen; Enkelejda Miho
Journal:  Digit Biomark       Date:  2019-08-16

4.  Automated voice biomarkers for depression symptoms using an online cross-sectional data collection initiative.

Authors:  Larry Zhang; Radhika Duvvuri; Kiranmayi K L Chandra; Theresa Nguyen; Reza H Ghomi
Journal:  Depress Anxiety       Date:  2020-05-07       Impact factor: 6.505

5.  A Prototype for the Voice Analysis Diagnosis of Alzheimer's Disease.

Authors:  Francisco Martínez-Sánchez; Juan José G Meilán; Juan Carro; Olga Ivanova
Journal:  J Alzheimers Dis       Date:  2018       Impact factor: 4.472

6.  Prevalence of phonatory symptoms in patients with type 2 diabetes mellitus.

Authors:  Abdul-Latif Hamdan; Zeina Kurban; Sami T Azar
Journal:  Acta Diabetol       Date:  2012-04-17       Impact factor: 4.280

7.  What speech can tell us: A systematic review of dysarthria characteristics in Multiple Sclerosis.

Authors:  Gustavo Noffs; Thushara Perera; Scott C Kolbe; Camille J Shanahan; Frederique M C Boonstra; Andrew Evans; Helmut Butzkueven; Anneke van der Walt; Adam P Vogel
Journal:  Autoimmun Rev       Date:  2018-10-11       Impact factor: 9.754

8.  Automatic speech analysis for the assessment of patients with predementia and Alzheimer's disease.

Authors:  Alexandra König; Aharon Satt; Alexander Sorin; Ron Hoory; Orith Toledo-Ronen; Alexandre Derreumaux; Valeria Manera; Frans Verhey; Pauline Aalten; Phillipe H Robert; Renaud David
Journal:  Alzheimers Dement (Amst)       Date:  2015-03-29

9.  A Speech Recognition-based Solution for the Automatic Detection of Mild Cognitive Impairment from Spontaneous Speech.

Authors:  Laszlo Toth; Ildiko Hoffmann; Gabor Gosztolya; Veronika Vincze; Greta Szatloczki; Zoltan Banreti; Magdolna Pakaski; Janos Kalman
Journal:  Curr Alzheimer Res       Date:  2018       Impact factor: 3.498

Review 10.  Reflecting health: smart mirrors for personalized medicine.

Authors:  Riccardo Miotto; Matteo Danieletto; Jerome R Scelza; Brian A Kidd; Joel T Dudley
Journal:  NPJ Digit Med       Date:  2018-11-08
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  7 in total

Review 1.  An Update on the Measurement of Motor Cerebellar Dysfunction in Multiple Sclerosis.

Authors:  Katherine Hope Kenyon; Frederique Boonstra; Gustavo Noffs; Helmut Butzkueven; Adam P Vogel; Scott Kolbe; Anneke van der Walt
Journal:  Cerebellum       Date:  2022-06-27       Impact factor: 3.648

2.  Digital biomarkers and sex impacts in Alzheimer's disease management - potential utility for innovative 3P medicine approach.

Authors:  Robbert L Harms; Alberto Ferrari; Irene B Meier; Julie Martinkova; Enrico Santus; Nicola Marino; Davide Cirillo; Simona Mellino; Silvina Catuara Solarz; Ioannis Tarnanas; Cassandra Szoeke; Jakub Hort; Alfonso Valencia; Maria Teresa Ferretti; Azizi Seixas; Antonella Santuccione Chadha
Journal:  EPMA J       Date:  2022-06-06       Impact factor: 8.836

3.  High-throughput digital cough recording on a university campus: A SARS-CoV-2-negative curated open database and operational template for acoustic screening of respiratory diseases.

Authors:  Eric M Keen; Emily J True; Alyssa R Summers; Everett Clinton Smith; Joe Brew; Simon Grandjean Lapierre
Journal:  Digit Health       Date:  2022-04-28

Review 4.  Affective Computing for Late-Life Mood and Cognitive Disorders.

Authors:  Erin Smith; Eric A Storch; Ipsit Vahia; Stephen T C Wong; Helen Lavretsky; Jeffrey L Cummings; Harris A Eyre
Journal:  Front Psychiatry       Date:  2021-12-23       Impact factor: 4.157

Review 5.  Leveraging the Potential of Digital Technology for Better Individualized Treatment of Parkinson's Disease.

Authors:  Holger Fröhlich; Noémi Bontridder; Dijana Petrovska-Delacréta; Enrico Glaab; Felix Kluge; Mounim El Yacoubi; Mayca Marín Valero; Jean-Christophe Corvol; Bjoern Eskofier; Jean-Marc Van Gyseghem; Stepháne Lehericy; Jürgen Winkler; Jochen Klucken
Journal:  Front Neurol       Date:  2022-02-28       Impact factor: 4.003

6.  The Future of Critical Care: Optimizing Technologies and a Learning Healthcare System to Potentiate a More Humanistic Approach to Critical Care.

Authors:  Heather Meissen; Michelle Ng Gong; An-Kwok Ian Wong; Jerry J Zimmerman; Nalini Nadkarni; Sandra L Kane-Gil; Javier Amador-Castaneda; Heatherlee Bailey; Samuel M Brown; Ashley D DePriest; Ifeoma Mary Eche; Mayur Narayan; Jose Javier Provencio; Nneka O Sederstrom; Jonathan Sevransky; Jordan Tremper; Rebecca A Aslakson
Journal:  Crit Care Explor       Date:  2022-03-15

7.  A rapid, non-invasive method for fatigue detection based on voice information.

Authors:  Xiujie Gao; Kefeng Ma; Honglian Yang; Kun Wang; Bo Fu; Yingwen Zhu; Xiaojun She; Bo Cui
Journal:  Front Cell Dev Biol       Date:  2022-09-13
  7 in total

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