AIMC Topic: Heel

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Decoding of pain during heel lancing in human neonates with EEG signal and machine learning approach.

Scientific reports Dec 28, 2024
Currently, pain assessment using electroencephalogram signals and machine learning methods in clinical studies is of great importance, especially for those who cannot express their pain. Since newborns are among the high-risk group and always experie...
Humans Machine Learning Female Infant, Newborn Male Support Vector Machine Pain Measurement Electroencephalography Pain Heel
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Two-step deep-learning identification of heel keypoints from video-recorded gait.

Medical & biological engineering & computing Sep 18, 2024
Accurate and fast extraction of step parameters from video recordings of gait allows for richer information to be obtained from clinical tests such as Timed Up and Go. Current deep-learning methods are promising, but lack in accuracy for many clinica...
Humans Neural Networks, Computer Female Aged Male Deep Learning Image Processing, Computer-Assisted Gait Video Recording Heel
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Microwave tomography with phaseless data on the calcaneus by means of artificial neural networks.

Medical & biological engineering & computing Dec 20, 2019
The aim of this study is to use a multilayer perceptron (MLP) artificial neural network (ANN) for phaseless imaging the human heel (modeled as a bilayer dielectric media: bone and surrounding tissue) and the calcaneus cross-section size and location ...
Humans Neural Networks, Computer Tomography, X-Ray Computed Image Processing, Computer-Assisted Calcaneus Electric Conductivity Heel Microwave Imaging
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Implementation of machine learning for classifying prosthesis type through conventional gait analysis.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jan 1, 2015
Current forecasts imply a significant increase in the quantity of lower limb amputations. Synergizing the capabilities of a conventional gait analysis system and machine learning facilitates the capacity to classify disparate types of transtibial pro...
Humans Machine Learning Biomechanical Phenomena Kinetics Amputees Gait Artificial Limbs Prosthesis Design Ankle Joint Ankle Heel
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