A real-world study of wearable sensors in Parkinson's disease
Most wearable sensor studies in Parkinson's disease have been conducted in the clinic and
thus may not be a true representation of everyday symptoms and symptom variation. Our …
thus may not be a true representation of everyday symptoms and symptom variation. Our …
Parkinson and essential tremor classification to identify the patient's risk based on tremor severity
Parkinson's disease (PSD) and essential tremor (ET) are oscillatory and rhythmic
movements in the human body with similar characteristics and becomes challenging to …
movements in the human body with similar characteristics and becomes challenging to …
Deep learning and blockchain-based essential and parkinson tremor classification scheme
Essential tremor (ET) and Parkinson's tremor (PST) are neurological movement disorders in
which ET emerges with body part activation, while PST is recorded in the relaxed position of …
which ET emerges with body part activation, while PST is recorded in the relaxed position of …
Secure Federated Learning for Parkinson's Disease: Non-IID Data Partitioning and Homomorphic Encryption Strategies
In this paper, we explore methods to enhance both the performance and privacy of federated
learning models by implementing two key techniques: homomorphic encryption and …
learning models by implementing two key techniques: homomorphic encryption and …
Class-imbalanced Time Series Adaptation via Multi-Expert Consistency Entropy Minimization
Wearable-based time series recognition aims to infer behavioral classes based on time
series signals collected by sensors. Domain Adaptation (DA) methods have significantly …
series signals collected by sensors. Domain Adaptation (DA) methods have significantly …
Time Series Adaptation Network for Sensor-Based Cross Domain Human Activity Recognition
Domain adaptation can apply knowledge learned from the source domain to the target
domain by reducing data distribution discrepancy inter domains. However, existing domain …
domain by reducing data distribution discrepancy inter domains. However, existing domain …
[PDF][PDF] Design, development and validation of an
C Carissimo - 2023 - iris.unicas.it
The sustainable development of the planet is one of the widely discussed topics on the
United Nations table: issues like protecting the environment and the rights and health of …
United Nations table: issues like protecting the environment and the rights and health of …
[PDF][PDF] Design, development and validation of an automated and integrated measurement system for neuromotor performance assessment
C Carissimo - 2024 - tesidottorato.depositolegale.it
The sustainable development of the planet is one of the widely discussed topics on the
United Nations table: issues like protecting the environment and the rights and health of …
United Nations table: issues like protecting the environment and the rights and health of …
Automated Parkinson's Disease Detection: A Review of Techniques, Datasets, Modalities, and Open Challenges
Parkinson's disease (PsD) is a prevalent neurodegenerative malady, which keeps
intensifying with age. It is acquired by the progressive demise of the dopaminergic neurons …
intensifying with age. It is acquired by the progressive demise of the dopaminergic neurons …
Parkinson Hastalığı Teşhisinde Eksik Sensör Verisinin Tahmini ve Sınıflandırma Performansına Etkisinin Analizi
EM Hamzaoğlu - 2023 - search.proquest.com
Günümüzde Parkinson hastalığı (PH), 65 yaş ve üzeri nüfusu etkileyen, Alzheimer
hastalığından sonra en yaygın olan hastalıktır; motor, motor olmayan, psikiyatrik ve bilişsel …
hastalığından sonra en yaygın olan hastalıktır; motor, motor olmayan, psikiyatrik ve bilişsel …