Artificial intelligence-based voice assessment of patients with Parkinson's disease off and on treatment: machine vs. deep-learning comparison
Parkinson's Disease (PD) is one of the most common non-curable neurodegenerative
diseases. Diagnosis is achieved clinically on the basis of different symptoms with …
diseases. Diagnosis is achieved clinically on the basis of different symptoms with …
Iomt: A medical resource management system using edge empowered blockchain federated learning
T Muazu, M Yingchi, AU Muhammad… - … on Network and …, 2023 - ieeexplore.ieee.org
As data sharing on the Internet of Medical Things (IoMT) become more complicated, the
problems of divergent interests, unregulated policies, privacy and security, and the resource …
problems of divergent interests, unregulated policies, privacy and security, and the resource …
[HTML][HTML] Acoustic analysis and prediction of type 2 diabetes mellitus using smartphone-recorded voice segments
Objective To investigate the potential of voice analysis as a prescreening or monitoring tool
for type 2 diabetes mellitus (T2DM) by examining the differences in voice recordings …
for type 2 diabetes mellitus (T2DM) by examining the differences in voice recordings …
Mouth sounds: A review of Acoustic Applications and methodologies
NE Naal-Ruiz, EA Gonzalez-Rodriguez… - Applied Sciences, 2023 - mdpi.com
Mouth sounds serve several purposes, from the clinical diagnosis of diseases to emotional
recognition. The following review aims to synthesize and discuss the different methods to …
recognition. The following review aims to synthesize and discuss the different methods to …
A hard knowledge regularization method with probability difference in thorax disease images
The computer-aided thorax disease diagnosis suffers from the existing noisy labels in large-
scale datasets. Especially, the fine-grained thorax images also show high inter-similarity …
scale datasets. Especially, the fine-grained thorax images also show high inter-similarity …
Voice Disorder Multi-Class Classification for the Distinction of Parkinson's Disease and Adductor Spasmodic Dysphonia
Parkinson's Disease and Adductor-type Spasmodic Dysphonia are two neurological
disorders that greatly decrease the quality of life of millions of patients worldwide. Despite …
disorders that greatly decrease the quality of life of millions of patients worldwide. Despite …
Acoustic analysis in stuttering: a machine-learning study
Background Stuttering is a childhood-onset neurodevelopmental disorder affecting speech
fluency. The diagnosis and clinical management of stuttering is currently based on …
fluency. The diagnosis and clinical management of stuttering is currently based on …
High-level CNN and machine learning methods for speaker recognition
G Costantini, V Cesarini, E Brenna - Sensors, 2023 - mdpi.com
Speaker Recognition (SR) is a common task in AI-based sound analysis, involving
structurally different methodologies such as Deep Learning or “traditional” Machine …
structurally different methodologies such as Deep Learning or “traditional” Machine …
[HTML][HTML] Severity Classification Using Dynamic Time Warping–Based Voice Biomarkers for Patients With COVID-19: Feasibility Cross-Sectional Study
Background: In Japan, individuals with mild COVID-19 illness previously required to be
monitored in designated areas and were hospitalized only if their condition worsened to …
monitored in designated areas and were hospitalized only if their condition worsened to …
OneBitPitch (OBP): Ultra-High-Speed Pitch Detection Algorithm Based on One-Bit Quantization and Modified Autocorrelation
D Coccoluto, V Cesarini, G Costantini - Applied Sciences, 2023 - mdpi.com
Featured Application Fast pitch detection algorithm for the real-time estimation of the
fundamental frequency, optimized for hardware implementation. Abstract This paper …
fundamental frequency, optimized for hardware implementation. Abstract This paper …