AIMC Topic: Exercise Therapy

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Effects of Artificial Intelligence Recognition-Based Telerehabilitation on Exercise Capacity in Patients With Hypertension: Randomized Controlled Trial.

Journal of medical Internet research
BACKGROUND: Hypertension remains a major global health challenge, significantly increasing cardiovascular and all-cause mortality risks. While exercise therapy is effective, conventional approaches face limitations in accessibility and personalizatio...

Towards an RGB camera-based live repetition counter using auto correlation with action recognition for home rehabilitation.

Scientific reports
Patients recovering from stroke often struggle with their rehabilitation exercises at home, with personal therapists being both costly and potentially unavailable. Virtual rehabilitation programs may assist the patients by providing quantitative and ...

Early adherence to biofeedback training predicts long-term improvement in stroke patients: A machine learning approach.

PloS one
Biofeedback-based treadmill training generally involves 10 or more sessions to assess its effectiveness during stroke rehabilitation. Improvements are seen in some patients during the assessment, while others do not progress. Our aim in this study is...

Harnessing artificial intelligence for cancer rehabilitation: A call to action.

Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer
Recent evidence from the CHALLENGE trial confirms that structured exercise can significantly improve survival outcomes in colon cancer survivors, reinforcing the principle that exercise is medicine. However, implementing personalized and scalable reh...

A Smartphone Platform for Remote Motor Fitness Assessment and AI-Generated Personalized Exercise Programs for Older Adults: Randomized Controlled Trial.

Journal of medical Internet research
BACKGROUND: Exercise guidelines for older adults are predominantly "one-size-fits-all," primarily focusing on aerobic activity with limited emphasis on motor components.

Real-time biofeedback monitoring rehabilitation of distal radius fracture.

Journal of neuroengineering and rehabilitation
BACKGROUND: Elderly patients often face challenges in recovering from distal radius fractures (DRFs), and inadequately guided rehabilitation may lead to delayed healing or secondary injury.

Effects of walking training with and without a robot and standard care on clinical and mobility outcomes: A randomized clinical trial in acute ischemic stroke patients.

Experimental gerontology
BACKGROUND: Stroke incidence rises with age. A stroke can severely affect walking ability, requiring therapy. Robot-assisted walking therapy (ROB) has been advocated as one form of walking rehabilitation in stroke patients. However, its comparative e...

Knee osteoarthritis rehabilitation: an integrated framework of exercise, nutrition, biomechanics, and physical therapist guidance-a narrative review.

European journal of medical research
Knee osteoarthritis (KOA) is a prevalent, debilitating chronic joint disease characterized by pain, stiffness, and functional limitations. Non-pharmacological rehabilitation is a fundamental management strategy. This narrative review synthesizes evid...

Robot-assisted gait training after severe traumatic brain injury for walking ability and social participation: protocol for a feasibility study.

BMJ open
INTRODUCTION: Traumatic brain injury (TBI) is a traumatic head injury that can lead to gait-related disabilities, and exoskeleton training may be beneficial for the recovery of this function in these patients. The objective of this study is to determ...

High-intensity interval training with robot-assisted gait therapy vs. treadmill gait therapy in chronic stroke: a randomized controlled trial.

Journal of neuroengineering and rehabilitation
OBJECTIVE: Stroke is a leading cause of long-term disability, significantly impacting patients' mobility and quality of life. Robot-assisted gait therapy (RAGT) and high-intensity interval training (HIIT) have individually shown potential in improvin...