Advancing Interpretability in Parkinson’s Disease Voice Analysis: A Multilingual AI Approach
Objective: This study aims to advance the interpretability of machine learning (ML) models in the detection of Parkinson's Disease (PD) through a novel approach analyzing…Codesigning Tech with Patients – Insights from the Quantitative and Qualitative Analysis of Three Technologies used in Patients With Parkinson’s Disease
Objective: To evaluate the usability and acceptability of three different digital health technologies developed for Parkinson's disease (PD). Background: PD care requires meeting patients' changing…Continuous Monitoring of Hypomimia in Parkinson’s disease using a Sensor-equipped Cap
Objective: We propose an e-textile in form of a cap to continuously track hypomimia in Parkinson’s disease (PD) allowing for an unobtrusive monitoring of facial…Digital health technology (DHT) derived features as sensitive measures of disease progression in early Parkinson’s disease under stable dopaminergic treatment
Objective: To evaluate the ability of DHT derived features from remotely collected active tests to measure disease progression in individuals with early Parkinson’s disease (PD)…Determining the Direction of segmented DBS Micro Electrodes through the EEG
Objective: Segmented DBS microelectrode allow electric-current-steering in a point direction which comes through cumbersome yet tedious and time complexity with coding. Accurate measurement angle of…Progressive Myoclonic Ataxia: Neuroinflammation and Autoantibodies Against Inhibitory Synapses and Herpes Viruses
Objective: Our goal was to study the autoimmune mechanisms of neuroinflammation in progressive myoclonic ataxia. Background: There are 2 different Ramsay Hunt syndromes named after…Opsoclonus after Covid-19 infection
Objective: Describe the first Brazilian case of opsoclonus due to COVID-19 infection Background: Opsoclonus-myoclonus is a rare movement disorder associated with a variety of conditions,…Predicting Disease Severity in Friedreich’s Ataxia through Wearable Monitoring and Machine Learning.
Objective: Develop and validate a wearable-based solution for tracking motor function in Friedreich ataxia (FRDA). Background: FRDA is an autosomal recessive neurodegenerative disorder causing progressive…Friedreich’s ataxia: A descriptive study of a Tunisian cohort
Objective: we aim to describe the clinical, radiological and electrophysiological features of Friedreich's ataxia (FA) in our population. Background: FA is the most common autosomal…Chorea after MRgFUS for the treatment of essential tremor: A case report
Objective: To describe a case of chorea after magnetic resonance guided focused ultrasound (MRgFUS) for the treatment of essential tremor (ET). Background: ET can provide…
- « Previous Page
- 1
- …
- 162
- 163
- 164
- 165
- 166
- …
- 181
- Next Page »