AIMC Topic: Physical Functional Performance
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Systematic training of table tennis players' physical performance based on artificial intelligence technology and data fusion of sensing devices.
SLAS technology
May 23, 2024
This research emphasises the value of physical training for table tennis players, particularly as ball speed and spin rate decline and emphasises how important intensity quality is to the game. Chinese table tennis players' dual identities place grea...
Physical performance strongly predicts all-cause mortality risk in a real-world population of older diabetic patients: machine learning approach for mortality risk stratification.
Frontiers in endocrinology
Apr 30, 2024
BACKGROUND: Prognostic risk stratification in older adults with type 2 diabetes (T2D) is important for guiding decisions concerning advance care planning.
Continuous Tongue Robot Mapping for Paralyzed Individuals Improves the Functional Performance of Tongue-Based Robotic Assistance.
IEEE transactions on bio-medical engineering
Jul 16, 2021
Individuals with tetraplegia have a challenging life due to a lack of independence and autonomy. Assistive robots have the potential to assist with the activities of daily living and thus improve the quality of life. However, an efficient and reliabl...
Exploring Associations of Preoperative Physical Performance With Postoperative Outcomes After Lumbar Spinal Fusion: A Machine Learning Approach.
Archives of physical medicine and rehabilitation
Mar 9, 2021
OBJECTIVE: To explore the association between preoperative physical performance with short- and long-term postoperative outcomes in patients undergoing lumbar spinal fusion (LSF).
Patient Reported Outcome Measures
Postoperative Period
Preoperative Period
Cohort Studies
Recovery of Function
Predictive Value of Tests
Disability Evaluation
Pain, Postoperative
Spinal Fusion
Lumbar Vertebrae
Physical Functional Performance
Aged
Male
Middle Aged
Length of Stay
Retrospective Studies
Female
Risk Factors
Humans
Machine Learning
The use of technical-tactical and physical performance indicators to classify between levels of match-play in elite rugby league.
Science & medicine in football
Sep 8, 2020
This study aimed to identify which physical and technical-tactical performance indicators (PI) can classify between levels of rugby league match-play. Data were collected from 46 European Super League (ESL) and 36 under-19 Academy (Academy) level mat...
Evaluation of machine learning methods to stroke outcome prediction using a nationwide disease registry.
Computer methods and programs in biomedicine
Feb 1, 2020
INTRODUCTION: Being able to predict functional outcomes after a stroke is highly desirable for clinicians. This allows clinicians to set reasonable goals with patients and relatives, and to reach shared after-care decisions for recovery or rehabilita...
The effect of a wearable soft-robotic glove on motor function and functional performance of older adults.
Assistive technology : the official journal of RESNA
May 24, 2018
Reduced grip strength, resulting in difficulties in performing daily activities, is a common problem in the population of older adults. Newly developed soft-robotic devices have the potential to support older adults with reduced grip in daily activit...
Utility of Machine Learning Approach with Neuropsychological Tests in Predicting Functional Impairment of Alzheimer's Disease.
Journal of Alzheimer's disease : JAD
Jan 1, 2022
BACKGROUND: In assessing the levels of clinical impairment in dementia, a summary index of neuropsychological batteries has been widely used in describing the overall functional status.
Hierarchical classification scheme for real-time recognition of physical activities and postural transitions using smartphone inertial sensors.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Jul 1, 2019
This paper introduces a novel approach for real-time classification of human activities using data from inertial sensors embedded in a smartphone. We propose a hierarchical classification scheme to recognize seven classes of activities including post...
Artificial Neural Networks Help to Better Understand the Interplay Between Cognition, Mediterranean Diet, and Physical Performance: Clues from TRELONG Study.
Journal of Alzheimer's disease : JAD
Jan 1, 2019
BACKGROUND: Nutrition plays an important role in the aging process. Adherence to the Mediterranean diet (MedDiet) has been shown to be associated with lower rates of diseases. Cognitive status seems to be strongly interrelated with physical well-bein...
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