Detection of dementia on voice recordings using deep learning: a Framingham Heart Study
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Detection of dementia on voice recordings using deep learning: a Framingham Heart Study
Authors
Keywords
-
Journal
Alzheimers Research & Therapy
Volume 13, Issue 1, Pages -
Publisher
Springer Science and Business Media LLC
Online
2021-09-01
DOI
10.1186/s13195-021-00888-3
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Efficiently Classifying Lung Sounds through Depthwise Separable CNN Models with Fused STFT and MFCC Features
- (2021) Shing-Yun Jung et al. Diagnostics
- Assessing the Utility of Language and Voice Biomarkers to Predict Cognitive Impairment in the Framingham Heart Study Cognitive Aging Cohort Data
- (2020) Jason A. Thomas et al. JOURNAL OF ALZHEIMERS DISEASE
- Heart sound classification based on improved MFCC features and convolutional recurrent neural networks
- (2020) Muqing Deng et al. NEURAL NETWORKS
- Severity Distribution of Alzheimer’s Disease Dementia and Mild Cognitive Impairment in the Framingham Heart Study
- (2020) Jing Yuan et al. JOURNAL OF ALZHEIMERS DISEASE
- Fusion of WPT and MFCC feature extraction in Parkinson’s disease diagnosis
- (2019) Harisudha Kuresan et al. TECHNOLOGY AND HEALTH CARE
- Classifying Heart Sounds Using Images of Motifs, MFCC and Temporal Features
- (2019) Diogo Marcelo Nogueira et al. JOURNAL OF MEDICAL SYSTEMS
- Developing a large scale population screening tool for the assessment of Parkinson's disease using telephone-quality voice
- (2019) Siddharth Arora et al. JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA
- Quantifying the nativeness of antibody sequences using long short-term memory networks
- (2019) Andrew M Wollacott et al. PROTEIN ENGINEERING DESIGN & SELECTION
- Investigating voice as a biomarker: Deep phenotyping methods for early detection of Parkinson's disease
- (2019) John M. Tracy et al. JOURNAL OF BIOMEDICAL INFORMATICS
- Deep Learning—A Technology With the Potential to Transform Health Care
- (2018) Geoffrey Hinton JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION
- Investigating Voice as a Biomarker for Leucine-Rich Repeat Kinase 2-Associated Parkinson’s Disease
- (2018) Siddharth Arora et al. Journal of Parkinsons Disease
- Blood pressure from mid‐ to late life and risk of incident dementia
- (2017) Emer R. McGrath et al. NEUROLOGY
- How technology is reshaping cognitive assessment: Lessons from the Framingham Heart Study.
- (2017) Rhoda Au et al. NEUROPSYCHOLOGY
- Neuropsychological Criteria for Mild Cognitive Impairment and Dementia Risk in the Framingham Heart Study
- (2016) Amy J. Jak et al. JOURNAL OF THE INTERNATIONAL NEUROPSYCHOLOGICAL SOCIETY
- Incidence of Dementia over Three Decades in the Framingham Heart Study
- (2016) Claudia L. Satizabal et al. NEW ENGLAND JOURNAL OF MEDICINE
- Voice changes in prodromal Parkinson's disease: Is a new biomarker within earshot?
- (2016) Ronald B. Postuma SLEEP MEDICINE
- Cohort Profile: The Framingham Heart Study (FHS): overview of milestones in cardiovascular epidemiology
- (2015) Connie W Tsao et al. INTERNATIONAL JOURNAL OF EPIDEMIOLOGY
- Edith Kaplan and the Boston Process Approach
- (2013) David J. Libon et al. CLINICAL NEUROPSYCHOLOGIST
- A computer-aided MFCC-based HMM system for automatic auscultation
- (2007) Sunita Chauhan et al. COMPUTERS IN BIOLOGY AND MEDICINE
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreAdd your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload Now