A Convolutional Neural Network Model for Classifying Resting Tremor Amplitude in Parkinson’s Disease
Resting tremor (RT) is one of the most common and debilitating symptoms of Parkinson’s Disease (PD), characterized by involuntary rhythmic muscle contractions. The Unified Parkinson’s Disease Rating Scale (UPDRS) 3.17 is a clinical assessment used to evaluate the amplitude of R...
Saved in:
| Main Authors: | Augusto Ielo, Serena Dattola, Lilla Bonanno, Paolo De Pasquale, Alberto Cacciola, Angelo Quartarone, Maria Cristina De Cola |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
|
| Series: | IEEE Transactions on Neural Systems and Rehabilitation Engineering |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/11018091/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Similar Items
-
Hand Tremor Characterization from a Spatiotemporal Convolutional Representation
by: Jessica Pedraza Cadena, et al.
Published: (2024-11-01) -
Targeting the fundamentals for tremors: the frequency and amplitude coding in essential tremor
by: Ming-Kai Pan
Published: (2025-02-01) -
Severe and unclassifiable tremor
by: Marcos Serrano-Dueñas
Published: (2024-10-01) -
Editorial: Dystonia and tremor
by: Pattamon Panyakaew, et al.
Published: (2025-05-01) -
Isolated head tremor
by: Z. A. Zalyalova, et al.
Published: (2024-06-01)