Instrumental Measurement of Stepping in Place – Detection of Asymmetry and Freezing of Gait
Objective: To detect freezing of gait (FoG) and quantify movement asymmetry from markerless full body motion capture with Microsoft Kinect™ during the execution of a…Validation of actigraphy-derived sleep metrics in Parkinson’s disease (PD) patients and elderly controls, taking into account clinical and physiological status
Objective: To developed a novel sleep quantification method using raw actigraphy data from well characterized PD subjects and elderly controls with overnight PSG and home…Final validation of an electronic diary for motor fluctuations and dyskinesias evaluation in PD patients: Comparison with paperback diary.
Objective: To determine the reliability and compliance to an electronic motor diary in PD patients. Background: Despite paper diaries are widely used, adherence, duplication, fraudulent…Autonomous Tracking of Body Bradykinesia during Unconstrained Activities in Parkinson’s Disease
Objective: To develop an algorithm for real-time automated detection of body bradykinesia during unconstrained activities using combined inertial measurement (IMU) and electromyographic (EMG) sensor data.…Evaluating the Clinical Efficacy of the Personal KinetiGraph Movement Recording System
Objective: To examine the clinical efficacy of the Personal KinetiGraph (PKG) movement recording in identifying patients with Parkinson’s disease (PD) requiring treatment for motor symptoms.…Improved Detection of Gait Abnormalities in Parkinson’s disease using an IMU Sensor-based System
Objective: To develop an automated system that uses a limited set of IMU sensors to improve the detection of gait abnormalities in Parkinson’s disease during…Personal KinetiGraph (PKG) for Parkinson’s Disease: Experience at a Tertiary Care Center
Objective: To assess objective measurements by Personal KinetiGraph (PKG) in Parkinson’s disease (PD) patients and compare them to self-reported symptoms. Background: Personal Kinetigraph (PKG)…Efficacy of Smartphone-enabled Active Tests in Automated PD Severity Assessment
Objective: To compare the efficacy of five smartphone-enabled active tests in detecting severity changes after medication, via an automated Parkinson Disease Severity Score (PDSS). Background:…Patient Clustering through a Mobile-based PD Severity Score
Objective: To demonstrate that PD patients can be clustered based on their performance on smartphone-enabled active tests. Background: Treatment decisions of PD require granular information…A review of telemedicine for Parkinson’s disease: But what’s happen in Asia??
Objective: To conduct a systematic review of telemedicine for Parkinson's disease Background: Recent literature indicates that globally significant numbers of Parkinson’s disease (PD) patients have…
Abstracts from the International Congress of Parkinson’s and Movement Disorders.