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A support vector machine algorithm can successfully classify running ability when trained with wearable sensor data from anatomical locations typical of consumer technology.
Sports biomechanics
Jan 20, 2022
Greater understanding of differences in technique between runners may allow more beneficial feedback related to improving performance and decreasing injury risk. The purpose of this study was to develop and test a support vector machine classifier, w...
Human unintentional and intentional interpersonal coordination in interaction with a humanoid robot.
PloS one
Jan 19, 2022
In order to establish natural social synchrony between two humans, two requirements need to be fulfilled. First, the coupling must be bi-directional. The two humans react to each other's actions. Second, natural social bodily synchronization has to b...
Forensic bone age estimation of adolescent pelvis X-rays based on two-stage convolutional neural network.
International journal of legal medicine
Jan 18, 2022
In the forensic estimation of bone age, the pelvis is important for identifying the bone age of teenagers. However, studies on this topic remain insufficient as a result of lower accuracy due to the overlapping of pelvic organs in X-ray images. Segme...
Robot-assisted versus laparoscopic approach to concurrent bariatric surgery and hiatal hernia repair: propensity score matching analysis using the 2015-2018 MBSAQIP.
Surgical endoscopy
Jan 12, 2022
BACKGROUND: Up to 37% of class three obesity patients have a Hiatal Hernia (HH). Most of the existent HHs get repaired at the time of bariatric surgery. Although the robotic platform might offer potential technical advantages over traditional laparos...
Attention modulates neural representation to render reconstructions according to subjective appearance.
Communications biology
Jan 11, 2022
Stimulus images can be reconstructed from visual cortical activity. However, our perception of stimuli is shaped by both stimulus-induced and top-down processes, and it is unclear whether and how reconstructions reflect top-down aspects of perception...
Shape Prediction of Nasal Bones by Digital 2D-Photogrammetry of the Nose Based on Convolution and Back-Propagation Neural Network.
Computational and mathematical methods in medicine
Jan 11, 2022
In rhinoplasty, it is necessary to consider the correlation between the anthropometric indicators of the nasal bone, so that it prevents surgical complications and enhances the patient's satisfaction. The penetrating form of high-energy electromagnet...
Functional cortical localization of tongue movements using corticokinematic coherence with a deep learning-assisted motion capture system.
Scientific reports
Jan 10, 2022
Corticokinematic coherence (CKC) between magnetoencephalographic and movement signals using an accelerometer is useful for the functional localization of the primary sensorimotor cortex (SM1). However, it is difficult to determine the tongue CKC beca...
Automated segmentation of articular disc of the temporomandibular joint on magnetic resonance images using deep learning.
Scientific reports
Jan 7, 2022
Temporomandibular disorders are typically accompanied by a number of clinical manifestations that involve pain and dysfunction of the masticatory muscles and temporomandibular joint. The most important subgroup of articular abnormalities in patients ...
A pilot study of machine-learning based automated planning for primary brain tumours.
Radiation oncology (London, England)
Jan 6, 2022
PURPOSE: High-quality radiotherapy (RT) planning for children and young adults with primary brain tumours is essential to minimize the risk of late treatment effects. The feasibility of using automated machine-learning (ML) to aid RT planning in this...
Predicting speech discrimination scores from pure-tone thresholds-A machine learning-based approach using data from 12,697 subjects.
PloS one
Dec 31, 2021
Diagnostic tests for hearing impairment not only determines the presence (or absence) of hearing loss, but also evaluates its degree and type, and provides physicians with essential data for future treatment and rehabilitation. Therefore, accurately ...
Speech Perception
Auditory Threshold
Discrimination Learning
Speech Reception Threshold Test
Aged, 80 and over
Models, Statistical
Humans
Infant
Republic of Korea
Young Adult
Neural Networks, Computer
Adolescent
Female
Adult
Audiometry, Pure-Tone
Machine Learning
Child, Preschool
Infant, Newborn
Male
Hearing
Algorithms
Child
Reproducibility of Results
Middle Aged
Hearing Loss
Computational Biology
Aged
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