Markerless radio frequency indoor monitoring for telemedicine: Gait analysis, indoor positioning, fall detection, tremor analysis, vital signs and sleep monitoring
Quantitative indoor monitoring, in a low-invasive and accurate way, is still an unmet need in
clinical practice. Indoor environments are more challenging than outdoor environments, and …
clinical practice. Indoor environments are more challenging than outdoor environments, and …
Assessing inertial measurement unit locations for freezing of gait detection and patient preference
Background Freezing of gait, a common symptom of Parkinson's disease, presents as
sporadic episodes in which an individual's feet suddenly feel stuck to the ground. Inertial …
sporadic episodes in which an individual's feet suddenly feel stuck to the ground. Inertial …
Using gait analysis' parameters to classify Parkinsonism: A data mining approach
Introduction Parkinson's disease (PD) is the second most common neurodegenerative
disorder in the world, while Progressive Supranuclear Palsy (PSP) is an atypical …
disorder in the world, while Progressive Supranuclear Palsy (PSP) is an atypical …
A low-cost vision system based on the analysis of motor features for recognition and severity rating of Parkinson's Disease
Background Assessment and rating of Parkinson's Disease (PD) are commonly based on
the medical observation of several clinical manifestations, including the analysis of motor …
the medical observation of several clinical manifestations, including the analysis of motor …
Hidden Markov Model based stride segmentation on unsupervised free-living gait data in Parkinson's disease patients
Background To objectively assess a patient's gait, a robust identification of stride borders is
one of the first steps in inertial sensor-based mobile gait analysis pipelines. While many …
one of the first steps in inertial sensor-based mobile gait analysis pipelines. While many …
Biometric handwriting analysis to support Parkinson's Disease assessment and grading
Background Handwriting represents one of the major symptom in Parkinson's Disease (PD)
patients. The computer-aided analysis of the handwriting allows for the identification of …
patients. The computer-aided analysis of the handwriting allows for the identification of …
[HTML][HTML] Early diagnosis of Parkinson's disease using a hybrid method of least squares support vector regression and fuzzy clustering
Parkinson's disease (PD) is a neurodegenerative disorder that influence brain's
neurological, behavioral, and physiological functions and includes motor and nonmotor …
neurological, behavioral, and physiological functions and includes motor and nonmotor …
A Systematic Review of Machine Learning Based Gait Characteristics in Parkinson's Disease
Objective: Parkinson's disease is a pervasive neuro disorder that affects people's quality of
life throughout the world. The unsatisfactory results of clinical rating scales open the door for …
life throughout the world. The unsatisfactory results of clinical rating scales open the door for …
The importance of biomechanical assessment after Return to Play in athletes with ACL-Reconstruction
Background Barriers to successful return to previous level of activity following Anterior
Cruciate Ligament Reconstruction (ACLR) are multifactorial and recent research suggests …
Cruciate Ligament Reconstruction (ACLR) are multifactorial and recent research suggests …
A Serious Game for the Assessment of Visuomotor Adaptation Capabilities during Locomotion Tasks Employing an Embodied Avatar in Virtual Reality
The study of visuomotor adaptation (VMA) capabilities has been encompassed in various
experimental protocols aimed at investigating human motor control strategies and/or …
experimental protocols aimed at investigating human motor control strategies and/or …