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Objectives: In view of the gradual rejuvenation and acceleration of lumbar spondylosis, a wearable powered lumbar exoskeleton based on a 6-SPU/SP parallel mechanism is designed based on the rehabilitation treatment method of lumbar forward flexion/extension, left/right lateral flexion and rotation.
Methods: First, the changes in human lumbar muscles are analyzed based on human biomechanics, and then the prototype design of the powered lumbar exoskeleton is implemented, including the mechanical mechanism design, and hardware module design. Finally, the simulation experiment of muscle force and output sensitivity test in the resistive mode are conducted.
Results: The simulation results show that the external oblique muscle can be relieved about 20 % and the iliopsoas muscle can be decreased by 33 % when wearing the powered lumbar exoskeleton in the lateral flexion. The pressure sensors can measure the output force of each actuator in real-time when the resistance force reaches the set value of 15 N at the resistive model.
Conclusions: The results show that the powered lumbar exoskeleton can assist the human lumbar spine in rehabilitation training of traction, forward flexion and extension, left and right lateral flexion, and rotation. This research provides new ideas for future clinical research.
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http://dx.doi.org/10.1515/bmt-2024-0232 | DOI Listing |
Front Med (Lausanne)
August 2025
Department of Computer Engineering, Istanbul Sabahattin Zaim University, Istanbul, Türkiye.
Introduction: Accurate and timely diagnosis of central nervous system infections (CNSIs) is critical, yet current gold-standard techniques like lumbar puncture (LP) remain invasive and prone to delay. This study proposes a novel noninvasive framework integrating handcrafted radiomic features and deep learning (DL) to identify cerebrospinal fluid (CSF) alterations on magnetic resonance imaging (MRI) in patients with acute CNSI.
Methods: Fifty-two patients diagnosed with acute CNSI who underwent LP and brain MRI within 48 h of hospital admission were retrospectively analyzed alongside 52 control subjects with normal neurological findings.
Cureus
July 2025
Department of Orthopedic Surgery, University of California, Irvine, School of Medicine, Orange, USA.
Background: Patients increasingly turn to large language models (LLMs) and social media platforms for medical advice. The accuracy of these sources, particularly compared to peer-reviewed clinical practice guidelines, remains poorly characterized.
Materials And Methods: This cross-sectional study evaluated the perceived accuracy of spine-related medical advice generated by ChatGPT (ChatGPT (OpenAI, powered by GPT-4, San Francisco, CA, USA), TikTok (Los Angeles, CA, USA), and the North American Spine Society (NASS) clinical practice guidelines.
J Bone Miner Res
August 2025
16 Bit Inc, ON, Canada.
Fracture risk is commonly assessed by FRAX, a tool that estimates 10-year risk for major osteoporotic fracture (MOF) and hip fracture. FRAX scores are often refined by additionally including femoral neck (FN) bone mineral density (BMD) measured by dual-energy x-ray absorptiometry (DXA) as an input. Rho™, a novel AI-powered software, estimates FN BMD T-Scores from conventional x-rays, even when FN is not in the image.
View Article and Find Full Text PDFJ Pain Res
August 2025
School of Nursing, Guangdong Pharmaceutical University, Guangzhou, Guangdong, 510310, People's Republic of China.
Background: Kinesiophobia presents a significant barrier to rehabilitation across multiple conditions. While cognitive behavioral therapy (CBT) holds potential for addressing phobic responses, its specific efficacy against kinesiophobia requires clarification.
Purpose: To systematically evaluate CBT's efficacy in reducing kinesiophobia among adults.
Physiother Res Int
October 2025
School of Rehabilitation Sciences, West China School of Medicine, West China Hospital, Sichuan University, Chengdu, China.
Purpose: This study aimed to examine the effect of home-based pulmonary rehabilitation (PR) on bone mineral density (BMD), lung function, dyspnea, and walking ability for stable Chronic Obstructive Pulmonary Disease (COPD) patients with OP (osteoporosis).
Methods: The required sample size was 27 per group, adjusted to 32 per group to account for a 15% dropout rate, ensuring 90% power. This is a 6-month randomized, single-blind, controlled trial.