AIMC Topic: Physical Therapy Modalities
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Intelligent Fault Diagnosis and Forecast of Time-Varying Bearing Based on Deep Learning VMD-DenseNet.
Sensors (Basel, Switzerland)
Nov 10, 2021
Rolling bearings are important in rotating machinery and equipment. This research proposes variational mode decomposition (VMD)-DenseNet to diagnose faults in bearings. The research feature involves analyzing the Hilbert spectrum through VMD whereby ...
Bearing Fault Diagnosis via Improved One-Dimensional Multi-Scale Dilated CNN.
Sensors (Basel, Switzerland)
Nov 3, 2021
Bearings are the key and important components of rotating machinery. Effective bearing fault diagnosis can ensure operation safety and reduce maintenance costs. This paper aims to develop a novel bearing fault diagnosis method via an improved multi-s...
Artificial intelligence application versus physical therapist for squat evaluation: a randomized controlled trial.
Scientific reports
Sep 13, 2021
Artificial intelligence technology is becoming more prevalent in health care as a tool to improve practice patterns and patient outcomes. This study assessed ability of a commercialized artificial intelligence (AI) mobile application to identify and ...
Application Combining VMD and ResNet101 in Intelligent Diagnosis of Motor Faults.
Sensors (Basel, Switzerland)
Sep 10, 2021
Motor failure is one of the biggest problems in the safe and reliable operation of large mechanical equipment such as wind power equipment, electric vehicles, and computer numerical control machines. Fault diagnosis is a method to ensure the safe ope...
Pre-Processing Method to Improve Cross-Domain Fault Diagnosis for Bearing.
Sensors (Basel, Switzerland)
Jul 21, 2021
Models trained with one system fail to identify other systems accurately because of domain shifts. To perform domain adaptation, numerous studies have been conducted in many fields and have successfully aligned different domains into one domain. The ...
Affective State during Physiotherapy and Its Analysis Using Machine Learning Methods.
Sensors (Basel, Switzerland)
Jul 16, 2021
Invasive or uncomfortable procedures especially during healthcare trigger emotions. Technological development of the equipment and systems for monitoring and recording psychophysiological functions enables continuous observation of changes to a situa...
Deep-Learning-Based Emergency Stop Prediction for Robotic Lower-Limb Rehabilitation Training Systems.
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
Jun 17, 2021
Robotic lower-limb rehabilitation training is a better alternative for the physical training efforts of a therapist due to advantages, such as intensive repetitive motions, economical therapy, and quantitative assessment of the level of motor recover...
Customizing Robot-Assisted Passive Neurorehabilitation Exercise Based on Teaching Training Mechanism.
BioMed research international
May 31, 2021
Passive movement is an important mean of rehabilitation for stroke survivors in the early stage or with greater paralysis. The upper extremity robot is required to assist therapists with passive movement during clinical rehabilitation, while customiz...
State of the art in parallel ankle rehabilitation robot: a systematic review.
Journal of neuroengineering and rehabilitation
Mar 20, 2021
BACKGROUND: The ankle joint complex (AJC) is of fundamental importance for balance, support, and propulsion. However, it is particularly susceptible to musculoskeletal and neurological injuries, especially neurological injuries such as drop foot foll...
Individualised Responsible Artificial Intelligence for Home-Based Rehabilitation.
Sensors (Basel, Switzerland)
Dec 22, 2020
Socioeconomic reasons post-COVID-19 demand unsupervised home-based rehabilitation and, specifically, artificial ambient intelligence with individualisation to support engagement and motivation. Artificial intelligence must also comply with accountabi...
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