AIMC Topic: Joints
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Gaussian Process Trajectory Learning and Synthesis of Individualized Gait Motions.
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
Apr 30, 2019
This paper proposes a Gaussian process-based method for trajectory learning and generation of individualized gait motions at arbitrary user-designated walking speeds, intended to be used in generating reference motions for robotic gait rehabilitation...
Baseball Player Behavior Classification System Using Long Short-Term Memory with Multimodal Features.
Sensors (Basel, Switzerland)
Mar 22, 2019
In this paper, a preliminary baseball player behavior classification system is proposed. By using multiple IoT sensors and cameras, the proposed method accurately recognizes many of baseball players' behaviors by analyzing signals from heterogeneous ...
Model-based hearing diagnostics based on wideband tympanometry measurements utilizing fuzzy arithmetic.
Hearing research
Feb 28, 2019
Today's audiometric methods for the diagnosis of middle ear disease are often based on a comparison of measurements with standard curves, that represent the statistical range of normal hearing responses. Because of large inter-individual variances in...
Control of a Robot Arm Using Decoded Joint Angles from Electrocorticograms in Primate.
Computational intelligence and neuroscience
Oct 18, 2018
Electrocorticogram (ECoG) is a well-known recording method for the less invasive brain machine interface (BMI). Our previous studies have succeeded in predicting muscle activities and arm trajectories from ECoG signals. Despite such successful studie...
Interleaved 3D-CNNs for joint segmentation of small-volume structures in head and neck CT images.
Medical physics
Mar 23, 2018
PURPOSE: Accurate 3D image segmentation is a crucial step in radiation therapy planning of head and neck tumors. These segmentation results are currently obtained by manual outlining of tissues, which is a tedious and time-consuming procedure. Automa...
Intra-articular collagenase injection increases range of motion in a rat knee flexion contracture model.
Drug design, development and therapy
Dec 21, 2017
OBJECTIVES: A knee joint contracture, a loss in passive range of motion (ROM), can be caused by prolonged immobility. In a rat knee immobilization flexion contracture model, the posterior capsule was shown to contribute to an irreversible limitation ...
A Novel Method of Synovitis Stratification in Ultrasound Using Machine Learning Algorithms: Results From Clinical Validation of the MEDUSA Project.
Ultrasound in medicine & biology
Dec 1, 2017
Ultrasound is widely used in the diagnosis and follow-up of chronic arthritis. We present an evaluation of a novel automatic ultrasound diagnostic tool based on image recognition technology. Methods used in developing the algorithm are described else...
Proprioceptive assessment in clinical settings: Evaluation of joint position sense in upper limb post-stroke using a robotic manipulator.
PloS one
Nov 21, 2017
Proprioception is a critical component for motor functions and directly affects motor learning after neurological injuries. Conventional methods for its assessment are generally ordinal in nature and hence lack sensitivity. Robotic devices designed t...
Assessment of pose repeatability and specimen repositioning of a robotic joint testing platform.
Medical engineering & physics
Jun 24, 2017
This paper describes the quantitative assessment of a robotic testing platform, consisting of an industrial robot and a universal force-moment sensor, via the design of fixtures used to hold the tibia and femur of cadaveric knees. This platform was u...
Modifying upper-limb inter-joint coordination in healthy subjects by training with a robotic exoskeleton.
Journal of neuroengineering and rehabilitation
Jun 12, 2017
BACKGROUND: The possibility to modify the usually pathological patterns of coordination of the upper-limb in stroke survivors remains a central issue and an open question for neurorehabilitation. Despite robot-led physical training could potentially ...
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