Characterising early morning akinesia and off (EMO) using Parkinson’s kinetigraph: analysis from a two centre national database in Parkinson’s disease .
Objective: Could wearable sensors such as Parkinson’s kinetograph (PKG) may provide valuable overnight data to detect EMO to augment care in clinic. Background: Early morning…A Machine Learning Approach for Early Identification of Prodromal Parkinson’s Disease
Objective: The aim of this project is to analyze available data of voice, Tappy keystroke, spiral drawings, and gait sample data involving PD patients and…A Kinematic and fMRI Study of the Neural Correlates of Bradykinesia in Parkinson’s Disease
Objective: This study aimed at investigating the neural and kinematic correlates of bradykinesia during hand-tapping in people with Parkinson’s disease (pwPD) relative to healthy controls.…Study of Wearable Technology And Geo-Fencing Device for Quantification of Freezing of Gait And Sleep Pattern In Dystonia Patients In Gurugram City, India
Objective: The aim of study was to investigate the benefits of wearable devices (Amazfit GTS-3 watch ) and geo-fencing technology to monitor daily life routine…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…Empower-PD: “An Exploratory Investigation of Accelerometer Data on Parkinson’s Patients’ Motor Symptoms and the Correlation with Quality of Life.”
Objective: To describe weekly changes in bradykinesia-score (BKS) measured on objective wearable data and assess the correlation between these changes and Quality of Life (QoL)…Medication Effects on Bradykinesia and Tremor in Parkinson’s Disease, Measured by Wearable Sensors
Objective: To determine the responsiveness to the effects of medication of home based unsupervised wearable sensor assessed tests for the evaluation of bradykinesia and tremor…Motor Onset of Parkinson’s disease: the proximal limbs are first
Objective: To determine if proximal body parts are more affected than distal body parts at the clinical onset of Parkinson’s disease (PD). Background: Motor features…Artificial Intelligence to detect and classify tremors in patients with Parkinson’s disease and related conditions
Objective: To develop a machine learning program to detect and classify tremors in patients with Parkinson's disease (PD) and related conditions. Background: PD is the…Analysis of a wearable sensor, STAT-on®, to detect motor complications in patients with Parkinson´s disease (PDp)
Objective: Analysis of the use of a personalized monitoring device, STAT-on®, to detect motor complications in PDp and its impact on the therapeutic approach. Background:…
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