AIMC Topic: Tremor

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Learning fine-grained estimation of physiological states from coarse-grained labels by distribution restoration.

Scientific reports Dec 15, 2020
Due to its importance in clinical science, the estimation of physiological states (e.g., the severity of pathological tremor) has aroused growing interest in machine learning community. While the physiological state is a continuous variable, its cont...
Humans Severity of Illness Index Parkinson Disease Blood Pressure Tremor Neural Networks, Computer Machine Learning Algorithms
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Parkinson's Disease Tremor Detection in the Wild Using Wearable Accelerometers.

Sensors (Basel, Switzerland) Oct 14, 2020
Continuous in-home monitoring of Parkinson's Disease (PD) symptoms might allow improvements in assessment of disease progression and treatment effects. As a first step towards this goal, we evaluate the feasibility of a wrist-worn wearable accelerome...
Parkinson Disease Accelerometry Humans Tremor Neural Networks, Computer Deep Learning Wearable Electronic Devices
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Neural correlates of rehabilitation program with robot-assisted intensive therapy in one case of Holmes tremor.

Annals of physical and rehabilitation medicine Aug 21, 2020
Humans Magnetic Resonance Imaging Ataxia Robotics Tremor
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Mixed-reality assistive robotic power chair simulator for Parkinson's tremor testing.

Medical engineering & physics May 19, 2020
This note describes the development of a mixed-reality assistive robotic wheel chair simulator for testing of Parkinson's tremor mitigation and operator assistance. It consists of a power chair (PCh), roller dynamometer, head mounted virtual reality ...
Humans Parkinson Disease Robotics Robotic Surgical Procedures Tremor Computer Simulation User-Computer Interface Virtual Reality
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Parkinson's Disease EMG Data Augmentation and Simulation with DCGANs and Style Transfer.

Sensors (Basel, Switzerland) May 3, 2020
This paper proposes two new data augmentation approaches based on Deep Convolutional Generative Adversarial Networks (DCGANs) and Style Transfer for augmenting Parkinson's Disease (PD) electromyography (EMG) signals. The experimental results indicate...
Essential Tremor Electromyography Movement Tremor Humans Neural Networks, Computer Parkinson Disease
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Machine learning-based motor assessment of Parkinson's disease using postural sway, gait and lifestyle features on crowdsourced smartphone data.

Biomedical physics & engineering express Mar 4, 2020
OBJECTIVES: Remote assessment of gait in patients' homes has become a valuable tool for monitoring the progression of Parkinson's disease (PD). However, these measurements are often not as accurate or reliable as clinical evaluations because it is ch...
Motor Skills Crowdsourcing Tremor Pattern Recognition, Automated Accelerometry Life Style Posture Parkinson Disease Area Under Curve Walking Gait Humans Diagnosis, Computer-Assisted Postural Balance Reproducibility of Results Wearable Electronic Devices Remote Sensing Technology Aged Smartphone Machine Learning Male Female Middle Aged Disease Progression
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Improved detection of Parkinsonian resting tremor with feature engineering and Kalman filtering.

Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology Nov 5, 2019
OBJECTIVE: Accurate and reliable detection of tremor onset in Parkinson's disease (PD) is critical to the success of adaptive deep brain stimulation (aDBS) therapy. Here, we investigated the potential use of feature engineering and machine learning m...
Humans Machine Learning Aged Male Tremor Algorithms Subthalamic Nucleus Female Middle Aged Analysis of Variance Deep Brain Stimulation Wavelet Analysis Parkinson Disease Rest Reaction Time
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Non-Linear Dynamical Analysis of Resting Tremor for Demand-Driven Deep Brain Stimulation.

Sensors (Basel, Switzerland) May 31, 2019
Parkinson's Disease (PD) is currently the second most common neurodegenerative disease. One of the most characteristic symptoms of PD is resting tremor. Local Field Potentials (LFPs) have been widely studied to investigate deviations from the typical...
Tremor Parkinson Disease Deep Brain Stimulation Nonlinear Dynamics Male Models, Theoretical Support Vector Machine Humans Female
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Computer vision of smartphone video has potential to detect functional tremor.

Journal of the neurological sciences Apr 12, 2019
Humans Artificial Intelligence Smartphone Tremor Video Recording Essential Tremor Accelerometry
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Analysis and evaluation of handwriting in patients with Parkinson's disease using kinematic, geometrical, and non-linear features.

Computer methods and programs in biomedicine Mar 13, 2019
BACKGROUND AND OBJECTIVES: Parkinson's disease is a neurological disorder that affects the motor system producing lack of coordination, resting tremor, and rigidity. Impairments in handwriting are among the main symptoms of the disease. Handwriting a...
Handwriting Tremor Parkinson Disease Nonlinear Dynamics Models, Theoretical Middle Aged Pattern Recognition, Automated Reproducibility of Results Adult Humans Support Vector Machine Aged Deep Learning Biomechanical Phenomena Algorithms Male Aged, 80 and over Female
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