AIMC Topic: Wrist

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Myoelectric analysis of upper-extremity muscles during robot-assisted bilateral wrist flexion-extension in subjects with poststroke hemiplegia.

Clinical biomechanics (Bristol, Avon) Jun 11, 2021
BACKGROUND: Muscle co-contraction during the execution of motor tasks or training is common in poststroke subjects. EMG-derived muscular activation indexes have been used to evaluate muscle co-contractions during movements. In addition, robot-assiste...
Humans Muscle, Skeletal Stroke Hemiplegia Muscles Stroke Rehabilitation Robotics Wrist Electromyography
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Critical evaluation of deep neural networks for wrist fracture detection.

Scientific reports Mar 16, 2021
Wrist Fracture is the most common type of fracture with a high incidence rate. Conventional radiography (i.e. X-ray imaging) is used for wrist fracture detection routinely, but occasionally fracture delineation poses issues and an additional confirma...
Humans Tomography, X-Ray Computed Female Male Fractures, Bone Neural Networks, Computer Databases, Factual Retrospective Studies Wrist Wrist Injuries
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A robot-aided visuomotor wrist training induces gains in proprioceptive and movement accuracy in the contralateral wrist.

Scientific reports Mar 5, 2021
Proprioceptive training is a neurorehabilitation approach known to improve proprioceptive acuity and motor performance of a joint/limb system. Here, we examined if such learning transfers to the contralateral joints. Using a robotic exoskeleton, 15 h...
Wrist Joint Exoskeleton Device Motor Activity Proprioception Humans Female Young Adult Wrist Male Adult Healthy Volunteers Adolescent Robotics Functional Laterality
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Hand Gesture Recognition Using Single Patchable Six-Axis Inertial Measurement Unit via Recurrent Neural Networks.

Sensors (Basel, Switzerland) Feb 17, 2021
Recording human gestures from a wearable sensor produces valuable information to implement control gestures or in healthcare services. The wearable sensor is required to be small and easily worn. Advances in miniaturized sensor and materials research...
Wrist Joint Wireless Technology Wrist Hand Motion Humans Neural Networks, Computer Wearable Electronic Devices Gestures
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Deep CHORES: Estimating Hallmark Measures of Physical Activity Using Deep Learning.

AMIA ... Annual Symposium proceedings. AMIA Symposium Jan 25, 2021
Wrist accelerometers for assessing hallmark measures of physical activity (PA) are rapidly growing with the advent of smartwatch technology. Given the growing popularity of wrist-worn accelerometers, there needs to be a rigorous evaluation for recogn...
Deep Learning Energy Metabolism Humans Wrist Adult Female Activities of Daily Living Accelerometry Male Young Adult Exercise
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Automated Bone Age Assessment Using Artificial Intelligence: The Future of Bone Age Assessment.

Korean journal of radiology Jan 19, 2021
Bone age assessments are a complicated and lengthy process, which are prone to inter- and intra-observer variabilities. Despite the great demand for fully automated systems, developing an accurate and robust bone age assessment solution has remained ...
Artificial Intelligence Wrist Hand Humans Neural Networks, Computer Automation Age Determination by Skeleton
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The Feature Ambiguity Mitigate Operator model helps improve bone fracture detection on X-ray radiograph.

Scientific reports Jan 15, 2021
This study was performed to propose a method, the Feature Ambiguity Mitigate Operator (FAMO) model, to mitigate feature ambiguity in bone fracture detection on radiographs of various body parts. A total of 9040 radiographic studies were extracted. Th...
Shoulder X-Rays Elbow Radiographic Image Interpretation, Computer-Assisted Wrist ROC Curve Fractures, Bone Area Under Curve Humans Neural Networks, Computer
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Deep learning with wearable based heart rate variability for prediction of mental and general health.

Journal of biomedical informatics Oct 31, 2020
The ubiquity and commoditisation of wearable biosensors (fitness bands) has led to a deluge of personal healthcare data, but with limited analytics typically fed back to the user. The feasibility of feeding back more complex, seemingly unrelated meas...
Heart Rate Deep Learning Wearable Electronic Devices Humans Wrist Neural Networks, Computer
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Machine learning from wristband sensor data for wearable, noninvasive seizure forecasting.

Epilepsia Oct 11, 2020
OBJECTIVE: Seizure forecasting may provide patients with timely warnings to adapt their daily activities and help clinicians deliver more objective, personalized treatments. Although recent work has convincingly demonstrated that seizure risk assessm...
Adolescent Wearable Electronic Devices Child, Preschool Child Seizures Wrist Forecasting Young Adult Male Humans Machine Learning Pulse Monitoring, Ambulatory Body Temperature Actigraphy
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Detection of Gait Abnormalities for Fall Risk Assessment Using Wrist-Worn Inertial Sensors and Deep Learning.

Sensors (Basel, Switzerland) Sep 19, 2020
Falls are a significant threat to the health and independence of elderly people and represent an enormous burden on the healthcare system. Successfully predicting falls could be of great help, yet this requires a timely and accurate fall risk assessm...
Accidental Falls Wearable Electronic Devices Wrist Aged Gait Analysis Humans Risk Assessment Deep Learning
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