At present, the upper limb function of stroke patients is often assessed clinically using a scale method, but this method has problems such as time-consuming, poor consistency of assessment results, and high participation of rehabilitation physicians. To overcome the shortcomings of the scale method, intelligent upper limb function assessment systems combining sensors and machine learning algorithms have become one of the hot research topics in recent years. Firstly, the commonly used clinical upper limb functional assessment methods are analyzed and summarized. Then the researches on intelligent assessment systems in recent years are reviewed, focusing on the technologies used in the data acquisition and data processing parts of intelligent assessment systems and their advantages and disadvantages. Lastly, the current challenges and future development directions of intelligent assessment systems are discussed. This review is hoped to provide valuable reference information for researchers in related fields.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10950765 | PMC |
| http://dx.doi.org/10.7507/1001-5515.202112046 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Age-specific abnormal glucose metabolism in HIV-positive people on antiviral therapy in China: a multicenter case-control study.
Ann Med
December 2025
Department of Emergency Medicine, Second Affiliated Hospital, Department of Public Health, The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou, China.
Background: Update, the link between HIV infection and abnormal glucose metabolism (AGM) is still unclear. This study aims to investigate the impact of HIV infection on AGM, including insulin resistance (IR), impaired fasting glucose (IFG), and diabetes mellitus (DM).
Methods: A multicenter case-control study was conducted in Zhejiang province, China.
PBCS-ConvNeXt: Convolutional Network-Based Automatic Diagnosis of Non-alcoholic Fatty Liver in Abdominal Ultrasound Images.
J Imaging Inform Med
January 2025
Graduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University, Taipei, Taiwan.
Non-alcoholic fatty liver disease (NAFLD) is a highly prevalent chronic liver condition characterized by excessive hepatic fat accumulation. Early diagnosis is crucial as NAFLD can progress to more severe conditions like steatohepatitis, fibrosis, cirrhosis, and hepatocellular carcinoma without timely intervention. While liver biopsy remains the gold standard for NAFLD assessment, abdominal ultrasound (US) imaging has emerged as a widely adopted non-invasive modality due to convenience and low cost.
View Article and Find Full Text PDFEchocardiographic Updates in the Assessment of Cardiomyopathy.
Curr Cardiol Rep
January 2025
Division of Cardiology, Department of Medicine, Rutgers New Jersey Medical School, Newark, NJ, USA.
Purpose Of Review: This review aims to provide an updated overview of the role of echocardiography in the assessment of cardiomyopathies, highlighting recent findings and technological advancements.
Recent Findings: Over the past few years, significant advancements in echocardiographic techniques have improved diagnostic accuracy and provided important prognostic value in the assessment of cardiomyopathies. Cardiomyopathy is a group of diseases affecting the heart muscle.
The publication fate of abstracts awarded prizes at European Society of Paediatric Radiology annual scientific meetings.
Pediatr Radiol
January 2025
School of Medicine and Population Health, University of Sheffield, Sheffield, UK.
Background: The European Society of Paediatric Radiology (ESPR) awards prizes for outstanding work presented at their annual scientific meetings. The proportion of ESPR prize-winning abstracts to journal publications is not known. Contextualising abstract-to-publication proportions by evaluating publication experience can yield valuable insights and actionable outcomes to support researchers in overcoming barriers to journal publication.
View Article and Find Full Text PDFRadiomics for prediction of perineural invasion in colorectal cancer: a systematic review and meta-analysis.
Abdom Radiol (NY)
January 2025
The General Hospital of Western Theater Command, Chengdu, Sichuan 610083, China, Chengdu, China.
Background: Perineural invasion (PNI) in colorectal cancer (CRC) is a significant prognostic factor associated with poor outcomes. Radiomics, which involves extracting quantitative features from medical imaging, has emerged as a potential tool for predicting PNI. This systematic review and meta-analysis aimed to evaluate the diagnostic accuracy of radiomics models in predicting PNI in CRC.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!