Cited by Ensemble Based Precautionary Detection of Parkinson's Disease from Voice Signal

Speech emotion recognition using a combination of variational mode decomposition and Hilbert transform DOI

Siba Prasad Mishra,

Pankaj Warule, Suman Deb

et al.

Applied Acoustics, Journal Year: 2024, Volume and Issue: 222, P. 110046 - 110046

Published: April 30, 2024

Language: Английский

Citations

A Mixed Audio-Video SPD Network for Online Classification of Parkinsonian Speech Patterns DOI

John Archila,

Antoine Manzanera, Fabio Martínez

et al.

Lecture notes in computer science, Journal Year: 2025, Volume and Issue: unknown, P. 110 - 121

Published: Jan. 1, 2025

Language: Английский

Citations

Parkinson’s disease detection from speech using combination of empirical wavelet transform and Hilbert transform DOI

Sachin Anap,

Satish R. Jondhale, Balasaheb Agarkar

et al.

International Journal of Speech Technology, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 27, 2025

Language: Английский

Citations

A lightweight CNN-based ensemble approach for early detecting Parkinson’s disease with enhanced features DOI

Dip Kumar Saha,

Tushar Deb Nath

International Journal of Speech Technology, Journal Year: 2025, Volume and Issue: unknown

Published: April 7, 2025

Language: Английский

Citations

A hybrid approach to detecting Parkinson's disease using spectrogram and deep learning CNN-LSTM network DOI

V. Shibina,

T. M. Thasleema

International Journal of Speech Technology, Journal Year: 2024, Volume and Issue: 27(3), P. 657 - 671

Published: July 18, 2024

Language: Английский

Citations

In Silico Decoding of Parkinson’s: Speech & Writing Analysis DOI

Robert Radu Ileșan, Sebastian-Aurelian Ștefănigă,

Radu Fleșar

et al.

Journal of Clinical Medicine, Journal Year: 2024, Volume and Issue: 13(18), P. 5573 - 5573

Published: Sept. 20, 2024

Background: Parkinson’s disease (PD) has transitioned from a rare condition in 1817 to the fastest-growing neurological disorder globally. The significant increase cases 2.5 million 1990 6.1 2016, coupled with predictions of further doubling by 2040, underscores an impending healthcare challenge. This escalation aligns global demographic shifts, including rising life expectancy and growing population. economic impact, notably U.S., reached $51.9 billion 2017, projections suggesting 46% 2037, emphasizing substantial socio-economic implications for both patients caregivers. Coupled worldwide demand health workers that is expected rise 80 2030, we have fertile ground pandemic. Methods: Our transdisciplinary research focused on early PD detection through running speech continuous handwriting analysis, incorporating medical, biomedical engineering, AI, linguistic expertise. cohort comprised 30 participants, 20 at stages 1–4 Hoehn Yahr scale 10 healthy controls. We employed advanced AI techniques analyze correlation plots generated features, aiming identify prodromal biomarkers. Results: study revealed distinct patterns compared ParkinsonNet model demonstrated high predictive accuracy, F1 scores 95.74% 96.72% analyses. These findings highlight potential as effective biomarkers PD. Conclusions: integration decision support system analyzing presents promising approach detection. methodology not only offers novel diagnostic tool but also contributes broader understanding PD’s manifestations. Further required validate these larger, diverse cohorts integrate tools into clinical practice timely pre-diagnosis management.

Language: Английский

Citations

Speech emotion recognition using multi resolution Hilbert transform based spectral and entropy features DOI

Siba Prasad Mishra,

Pankaj Warule, Suman Deb

et al.

Applied Acoustics, Journal Year: 2024, Volume and Issue: 229, P. 110403 - 110403

Published: Nov. 15, 2024

Language: Английский

Citations

Ensemble Based Precautionary Detection of Parkinson's Disease from Voice Signal DOI

Yalamanchili Bhanusree,

Vodnala Sharan Adhvy,

Mohammed Shaji Affan

et al.

Published: Nov. 14, 2024

Language: Английский

Citations