Parkinson and essential tremor classification to identify the patient?s risk based on tremor severity

Article Engineering, Biomedical

Quantitative assessment of essential tremor based on machine learning methods using wearable device

Chenbin Ma et al.

Summary: This study successfully assessed the severity of symptoms in ET patients using wearable sensor technology and machine learning methods, which could help clinicians automate scoring and improve disease management efficiency.

BIOMEDICAL SIGNAL PROCESSING AND CONTROL (2022)

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Article Chemistry, Analytical

Automatic Resting Tremor Assessment in Parkinson's Disease Using Smartwatches and Multitask Convolutional Neural Networks

Luis Sigcha et al.

Summary: A novel approach using smartwatches and multitask classification models can accurately assess resting tremor in Parkinson's disease patients without interfering with their daily lives. Results show high agreement with clinical assessments, indicating the potential for early-stage disease monitoring and improvement of Parkinson's disease clinical evaluation.

SENSORS (2021)

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Article Medicine, General & Internal

Development and Validation of a New Wearable Mobile Device for the Automated Detection of Resting Tremor in Parkinson's Disease and Essential Tremor

Basilio Vescio et al.

Summary: This study developed a new low-cost, wearable mobile device called mu EMG for the automated and quantitative characterization of resting tremor patterns in ambulatory clinical settings. The results showed good agreement with standard EMG and demonstrated that tremor analysis using mu EMG is easy to perform and operator-independent for routine clinical practice.

DIAGNOSTICS (2021)

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Article Clinical Neurology

Different effects of essential tremor and Parkinsonian tremor on multiscale dynamics of hand tremor

Dongning Su et al.

Summary: The study investigated the multiscale dynamics of hand tremor in ET and PT patients, revealing lower complexity in ET compared to PT and the potential of complexity metric in distinguishing between the two conditions. Hand tremor complexity was found to be associated with disease duration and severity, serving as a promising diagnostic marker for ET and PT differentiation.

CLINICAL NEUROPHYSIOLOGY (2021)

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Article Engineering, Electrical & Electronic

CNN-Based PD Hand Tremor Detection Using Inertial Sensors

Lina Tong et al.

Summary: A convolutional neural network-based method for detecting Parkinson's disease hand tremors is proposed, which shows effective performance through experiments and validation.

IEEE SENSORS LETTERS (2021)

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Article Computer Science, Information Systems