AIMC Topic: Wrist

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Effects of Transcranial Direct Current Stimulation (tDCS) Combined With Wrist Robot-Assisted Rehabilitation on Motor Recovery in Subacute Stroke Patients: A Randomized Controlled Trial.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Jun 3, 2019
Both transcranial direct current stimulation (tDCS) and wrist robot-assisted training have demonstrated to be promising approaches for stroke rehabilitation. However, the effects of the combination of the two treatments in subacute stroke patients ar...
Middle Aged Adolescent Treatment Outcome Recovery of Function Robotics Young Adult Adult Biomechanical Phenomena Male Electrodes Upper Extremity Stroke Rehabilitation Transcranial Direct Current Stimulation Motor Cortex Single-Blind Method Electroencephalography Humans Wrist Algorithms Combined Modality Therapy Female Aged Aged, 80 and over
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Effect of repetitive transcranial magnetic stimulation combined with robot-assisted training on wrist muscle activation post-stroke.

Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology May 20, 2019
OBJECTIVE: To compare the effects of active assisted wrist extension training, using a robotic exoskeleton (RW), with simultaneous 5 Hz (rTMS + RW) or Sham rTMS (Sham rTMS + RW) over the ipsilesional extensor carpi radialis motor cortical representat...
Male Stroke Rehabilitation Middle Aged Transcranial Magnetic Stimulation Muscle, Skeletal Robotics Motion Therapy, Continuous Passive Humans Wrist Recruitment, Neurophysiological Female Aged
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Stress detection in daily life scenarios using smart phones and wearable sensors: A survey.

Journal of biomedical informatics Feb 27, 2019
Stress has become a significant cause for many diseases in the modern society. Recently, smartphones, smartwatches and smart wrist-bands have become an integral part of our lives and have reached a widespread usage. This raised the question of whethe...
Activities of Daily Living Monitoring, Ambulatory Humans Machine Learning Female Male Stress, Psychological Wearable Electronic Devices Smartphone Equipment Design Wrist
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A Multi-Layer Gaussian Process for Motor Symptom Estimation in People With Parkinson's Disease.

IEEE transactions on bio-medical engineering Feb 18, 2019
The assessment of Parkinson's disease (PD) poses a significant challenge, as it is influenced by various factors that lead to a complex and fluctuating symptom manifestation. Thus, a frequent and objective PD assessment is highly valuable for effecti...
Female Reproducibility of Results Aged Male Middle Aged Humans Machine Learning Monitoring, Ambulatory Accelerometry Normal Distribution Movement Hypokinesia Wearable Electronic Devices Parkinson Disease Signal Processing, Computer-Assisted Wrist Tremor
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Interactive Compliance Control of a Wrist Rehabilitation Device (WRD) with Enhanced Training Safety.

Journal of healthcare engineering Feb 18, 2019
Interaction control plays an important role in rehabilitation devices to ensure training safety and efficacy. Compliance adaptation of interaction is vital for enabling robot movements to better suit the patient's requirements as human joint characte...
Stroke Rehabilitation Biomedical Engineering Wrist Joint Compliance Robotics Equipment Design Wrist Healthy Volunteers Humans Adult Biomechanical Phenomena Male
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Wrist accelerometer shape feature derivation methods for assessing activities of daily living.

BMC medical informatics and decision making Dec 12, 2018
BACKGROUND: There has been an increasing interest in understanding the usefulness of wrist-based accelerometer data for physical activity (PA) assessment due to the ease of use and higher user compliance than other body placements. PA assessment stud...
Wrist Activities of Daily Living Energy Metabolism Locomotion Accelerometry Aged Humans Aged, 80 and over Machine Learning Adult Female Male Middle Aged
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A Deep Automated Skeletal Bone Age Assessment Model with Heterogeneous Features Learning.

Journal of medical systems Nov 3, 2018
Skeletal bone age assessment is a widely used standard procedure in both disease detection and growth prediction for children in endocrinology. Conventional manual assessment methods mainly rely on personal experience in observing X-ray images of lef...
Child, Preschool Child Image Processing, Computer-Assisted Support Vector Machine Humans Age Factors Infant, Newborn Wrist Age Determination by Skeleton Neural Networks, Computer Male Hand Algorithms Infant Female Sex Factors Adolescent Racial Groups
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Deep neural network improves fracture detection by clinicians.

Proceedings of the National Academy of Sciences of the United States of America Oct 22, 2018
Suspected fractures are among the most common reasons for patients to visit emergency departments (EDs), and X-ray imaging is the primary diagnostic tool used by clinicians to assess patients for fractures. Missing a fracture in a radiograph often ha...
Hospital Rapid Response Team Humans Radiography Neural Networks, Computer Wrist Sensitivity and Specificity Image Interpretation, Computer-Assisted Diagnostic Errors Emergency Medicine Deep Learning Fractures, Bone
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Sleep stage classification based on multi-level feature learning and recurrent neural networks via wearable device.

Computers in biology and medicine Oct 15, 2018
BACKGROUND: Automatic sleep stage classification is essential for long-term sleep monitoring. Wearable devices show more advantages than polysomnography for home use. In this paper, we propose a novel method for sleep staging using heart rate and wri...
Humans Neural Networks, Computer Female Young Adult Adult Signal Processing, Computer-Assisted Wrist Male Heart Rate Middle Aged Actigraphy Wearable Electronic Devices Sleep Stages
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Real-time, simultaneous myoelectric control using a convolutional neural network.

PloS one Sep 13, 2018
The evolution of deep learning techniques has been transformative as they have allowed complex mappings to be trained between control inputs and outputs without the need for feature engineering. In this work, a myoelectric control system based on con...
Pattern Recognition, Automated Muscle, Skeletal Stochastic Processes Humans Signal Processing, Computer-Assisted Movement Neural Networks, Computer Wrist Adult Electromyography Support Vector Machine
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