AI Medical Compendium Topic

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Movement

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Machine learning discriminates a movement disorder in a zebrafish model of Parkinson's disease.

Disease models & mechanisms
Animal models of human disease provide an system that can reveal molecular mechanisms by which mutations cause pathology, and, moreover, have the potential to provide a valuable tool for drug development. Here, we have developed a zebrafish model of...

Deep Learning-Based Violin Bowing Action Recognition.

Sensors (Basel, Switzerland)
We propose a violin bowing action recognition system that can accurately recognize distinct bowing actions in classical violin performance. This system can recognize bowing actions by analyzing signals from a depth camera and from inertial sensors th...

Myoelectric digit action decoding with multi-output, multi-class classification: an offline analysis.

Scientific reports
The ultimate goal of machine learning-based myoelectric control is simultaneous and independent control of multiple degrees of freedom (DOFs), including wrist and digit artificial joints. For prosthetic finger control, regression-based methods are ty...

Individual mandibular movement registration and reproduction using an optoeletronic jaw movement analyzer and a dedicated robot: a dental technique.

BMC oral health
BACKGROUND: Fully adjustable articulators and pantographs record and reproduce individual mandibular movements. Although these instruments are accurate, they are operator-dependant and time-consuming. Pantographic recording is affected by inter and i...

Modeling and Optimization of Electrostatic Film Actuators Based on the Method of Moments.

Soft robotics
Electrostatic film actuators represent a promising new approach to drive a soft robot, but they lack a comprehensive model to link the design parameters and actuation performance, making actuator design and parameter optimization challenging. To solv...

Recognition of Non-Manual Content in Continuous Japanese Sign Language.

Sensors (Basel, Switzerland)
The quality of recognition systems for continuous utterances in signed languages could be largely advanced within the last years. However, research efforts often do not address specific linguistic features of signed languages, as e.g., non-manual exp...

A Task-Learning Strategy for Robotic Assembly Tasks from Human Demonstrations.

Sensors (Basel, Switzerland)
In manufacturing, traditional task pre-programming methods limit the efficiency of human-robot skill transfer. This paper proposes a novel task-learning strategy, enabling robots to learn skills from human demonstrations flexibly and generalize skill...

Biomechanical monitoring and machine learning for the detection of lying postures.

Clinical biomechanics (Bristol, Avon)
BACKGROUND: Pressure mapping technology has been adapted to monitor over prolonged periods to evaluate pressure ulcer risk in individuals during extended lying postures. However, temporal pressure distribution signals are not currently used to identi...

A Visual Tracker Offering More Solutions.

Sensors (Basel, Switzerland)
Most trackers focus solely on robustness and accuracy. Visual tracking, however, is a long-term problem with a high time limitation. A tracker that is robust, accurate, with long-term sustainability and real-time processing, is of high research value...

AI Approaches Towards Prechtl's Assessment of General Movements: A Systematic Literature Review.

Sensors (Basel, Switzerland)
General movements (GMs) are spontaneous movements of infants up to five months post-term involving the whole body varying in sequence, speed, and amplitude. The assessment of GMs has shown its importance for identifying infants at risk for neuromotor...