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A vision model for automated frozen tuna processing.
Sci Rep
January 2025
School of Food and Pharmacy, Zhejiang Ocean University, Zhoushan, 316022, People's Republic of China.
Accurate and rapid segmentation of key parts of frozen tuna, along with precise pose estimation, is crucial for automated processing. However, challenges such as size differences and indistinct features of tuna parts, as well as the complexity of determining fish poses in multi-fish scenarios, hinder this process. To address these issues, this paper introduces TunaVision, a vision model based on YOLOv8 designed for automated tuna processing.
View Article and Find Full Text PDFEstimation of the effects of hand growth on muscle activation patterns: A musculoskeletal modeling study.
J Biomech
January 2025
The Joint Department of Biomedical Engineering, the University of North Carolina at Chapel Hill, Chapel Hill, NC, United States; North Carolina State University, Raleigh, NC, United States.
Throughout childhood growth and development, both the nervous and the musculoskeletal systems undergo rapid change. The goal of this study was to examine the impact of growth-related changes in skeletal size and muscle strength on the neural control of finger force generation. By modifying an existing OpenSim hand model in accordance with pediatric anthropometric data, we created 10 distinct models representing males and females at each year of development from 6 to 10 years old.
View Article and Find Full Text PDFThe Impact of Sleep Position Preferences on the Sleep Quality, Comfort and Catheter Care Quality in Patients After Endoscopic Nasobiliary Drainage: A Cross-Sectional Study.
J Clin Nurs
January 2025
Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, China.
Aims And Objectives: This study aimed to investigate the impact of sleep position preferences (SPP) on sleep quality, comfort and catheter care quality in patients after endoscopic nasobiliary drainage (ENBD).
Design: This was an observational prospective study.
Methods: This study included 167 participants with common bile duct stones (CBDS) who underwent ENBD from the gallstone ward of a hospital as a convenience sample.
Using Inertial Measurement Units and Machine Learning to Classify Body Positions of Adults in a Hospital Bed.
Sensors (Basel)
January 2025
Curtin School of Allied Health, Curtin University, Perth 6102, Australia.
In hospitals, timely interventions can prevent avoidable clinical deterioration. Early recognition of deterioration is vital to stopping further decline. Measuring the way patients position themselves in bed and change their positions may signal when further assessment is necessary.
View Article and Find Full Text PDFSleep Posture Detection via Embedded Machine Learning on a Reduced Set of Pressure Sensors.
Sensors (Basel)
January 2025
Department of Information Engineering, University of Padova, 35122 Padova, Italy.
Sleep posture is a key factor in assessing sleep quality, especially for individuals with Obstructive Sleep Apnea (OSA), where the sleeping position directly affects breathing patterns: the side position alleviates symptoms, while the supine position exacerbates them. Accurate detection of sleep posture is essential in assessing and improving sleep quality. Automatic sleep posture detection systems, both wearable and non-wearable, have been developed to assess sleep quality.
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