AIMC Topic: Wrist
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Classifier Personalization for Activity Recognition Using Wrist Accelerometers.
IEEE journal of biomedical and health informatics
Sep 12, 2018
Intersubject variability in accelerometer-based activity recognition may significantly affect classification accuracy, limiting a reliable extension of methods to new users. In this paper, we propose an approach for personalizing classification rules...
Assessing Wrist Movement With Robotic Devices.
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
Jul 5, 2018
Robotic devices have been proposed to meet the rising need for high intensity, long duration, and goal-oriented therapy required to regain motor function after neurological injury. Complementing this application, exoskeletons can augment traditional ...
Wrist sensor-based tremor severity quantification in Parkinson's disease using convolutional neural network.
Computers in biology and medicine
Feb 15, 2018
Tremor is a commonly observed symptom in patients of Parkinson's disease (PD), and accurate measurement of tremor severity is essential in prescribing appropriate treatment to relieve its symptoms. We propose a tremor assessment system based on the u...
Monitoring stress with a wrist device using context.
Journal of biomedical informatics
Aug 10, 2017
Being able to detect stress as it occurs can greatly contribute to dealing with its negative health and economic consequences. However, detecting stress in real life with an unobtrusive wrist device is a challenging task. The objective of this study ...
Performance comparison between wrist and chest actigraphy in combination with heart rate variability for sleep classification.
Computers in biology and medicine
Aug 8, 2017
The concurrent usage of actigraphy and heart rate variability (HRV) for sleep efficiency quantification is still matter of investigation. This study compared chest (CACT) and wrist (WACT) actigraphy (actigraphs positioned on chest and wrist, respecti...
Biomechanical Reactions of Exoskeleton Neurorehabilitation Robots in Spastic Elbows and Wrists.
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
Jun 9, 2017
Spasticity is an important factor in designing wearable and lightweight exoskeleton neurorehabilitation robots. The proposed study evaluates biomechanical reactions of an exoskeleton robot to spasticity and establishes relevant guidelines for robot d...
Design and fuzzy logic control of an active wrist orthosis.
Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine
Apr 21, 2017
People who perform excessive wrist movements throughout the day because of their professions have a higher risk of developing lateral and medial epicondylitis. If proper precautions are not taken against these diseases, serious consequences such as j...
Portable and Reconfigurable Wrist Robot Improves Hand Function for Post-Stroke Subjects.
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
Apr 7, 2017
Rehabilitation robots have become increasingly popular for stroke rehabilitation. However, the high cost of robots hampers their implementation on a large scale. This paper implements the concept of a modular and reconfigurable robot, reducing its co...
Rehabilitation robotics for the upper extremity: review with new directions for orthopaedic disorders.
Disability and rehabilitation. Assistive technology
Dec 30, 2016
The focus of research using technological innovations such as robotic devices has been on interventions to improve upper extremity function in neurologic populations, particularly patients with stroke. There is a growing body of evidence describing r...
Biofeedback Signals for Robotic Rehabilitation: Assessment of Wrist Muscle Activation Patterns in Healthy Humans.
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
Dec 6, 2016
Electrophysiological recordings from human muscles can serve as control signals for robotic rehabilitation devices. Given that many diseases affecting the human sensorimotor system are associated with abnormal patterns of muscle activation, such biof...
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