Biomedizinische Technik/Biomedical Engineering 
This is an RSS file. You can use it to subscribe to this data in your favourite RSS reader or to display this data on your own website or blog.
This is an RSS file. You can use it to subscribe to this data in your favourite RSS reader or to display this data on your own website or blog.Biomechanical comparison of three fixation strategies for radial head fractures: a biomechanical study
This study evaluated the mechanical properties of the fixation of radial head fractures using a single oblique HCS compared with those obtained using a standard locking radial head plate (LRHP) construct and a double cortical screw (DCS) construct. Radial synbone models were used for biomechanical tests of HCS, LRHP, and DCS constructs. All specimens were first cyclically loaded and then loaded to failure. The stiffness for the LRHP group was significantly higher than that for the other two groups, and that for the HCS group was significantly higher than that for the DCS group. The LRHP group had the greatest strength, fol...
Source: Biomedizinische Technik/Biomedical Engineering - October 26, 2023 Category: Biomedical Engineering Authors: Yao-Tung Tsai Kun-Jhih Lin Jui-Cheng Lin Source Type: research
Probabilistic hierarchical clustering based identification and segmentation of brain tumors in magnetic resonance imaging
Biomed Tech (Berl). 2023 Oct 25. doi: 10.1515/bmt-2021-0313. Online ahead of print.ABSTRACTThe automatic segmentation of the abnormality region from the head MRI is a challenging task in the medical science domain. The abnormality in the form of the tumor comprises the uncontrolled growth of the cells. The automatic identification of the affected cells using computerized software systems is demanding in the past several years to provide a second opinion to radiologists. In this paper, a new clustering approach is introduced based on the machine learning aspect that clusters the tumor region from the input MRI using disjoin...
Source: Biomedizinische Technik/Biomedical Engineering - October 23, 2023 Category: Biomedical Engineering Authors: Ankit Vidyarthi Source Type: research
Development of audio-guided deep breathing and auditory Go/No-Go task on evaluating its impact on the wellness of young adults: a pilot study
CONCLUSIONS: This pilot study suggests a link between it and young adults' wellbeing and proposes auditory Go/No-Go task for assessing attention across various groups while maintaining physical and mental wellness.PMID:37856824 | DOI:10.1515/bmt-2023-0410 (Source: Biomedizinische Technik/Biomedical Engineering)
Source: Biomedizinische Technik/Biomedical Engineering - October 19, 2023 Category: Biomedical Engineering Authors: Eng Keat Kwa Soon Keng Cheong Lin Kooi Ong Poh Foong Lee Source Type: research
Machine learning based hybrid anomaly detection technique for automatic diagnosis of cardiovascular diseases using cardiac sympathetic nerve activity and electrocardiogram
CONCLUSIONS: The proposed automated AIHAD technique may serve as an efficient decision-support system to increase physicians' success in fast, early, and accurate diagnosis of CADs. It may be highly beneficial and valuable, particularly for asymptomatic patients, for whom the diagnostic information provided by ECG alone is not sufficient to reliably diagnose the disease. Hence, it may significantly improve patient outcomes by enabling timely treatments and considerably reducing the mortality of cardiovascular diseases (CVDs).PMID:37823386 | DOI:10.1515/bmt-2022-0406 (Source: Biomedizinische Technik/Biomedical Engineering)
Source: Biomedizinische Technik/Biomedical Engineering - October 12, 2023 Category: Biomedical Engineering Authors: Merve Begum Terzi Orhan Arikan Source Type: research
Detection of driver drowsiness level using a hybrid learning model based on ECG signals
CONCLUSIONS: Using the proposed algorithm, it is possible to identify driver anomalies and provide new ideas for the development of intelligent vehicles.PMID:37823389 | DOI:10.1515/bmt-2023-0193 (Source: Biomedizinische Technik/Biomedical Engineering)
Source: Biomedizinische Technik/Biomedical Engineering - October 12, 2023 Category: Biomedical Engineering Authors: Hui Xiong Yan Yan Lifei Sun Jinzhen Liu Yuqing Han Yangyang Xu Source Type: research
Machine learning based hybrid anomaly detection technique for automatic diagnosis of cardiovascular diseases using cardiac sympathetic nerve activity and electrocardiogram
CONCLUSIONS: The proposed automated AIHAD technique may serve as an efficient decision-support system to increase physicians' success in fast, early, and accurate diagnosis of CADs. It may be highly beneficial and valuable, particularly for asymptomatic patients, for whom the diagnostic information provided by ECG alone is not sufficient to reliably diagnose the disease. Hence, it may significantly improve patient outcomes by enabling timely treatments and considerably reducing the mortality of cardiovascular diseases (CVDs).PMID:37823386 | DOI:10.1515/bmt-2022-0406 (Source: Biomedizinische Technik/Biomedical Engineering)
Source: Biomedizinische Technik/Biomedical Engineering - October 12, 2023 Category: Biomedical Engineering Authors: Merve Begum Terzi Orhan Arikan Source Type: research
Detection of driver drowsiness level using a hybrid learning model based on ECG signals
CONCLUSIONS: Using the proposed algorithm, it is possible to identify driver anomalies and provide new ideas for the development of intelligent vehicles.PMID:37823389 | DOI:10.1515/bmt-2023-0193 (Source: Biomedizinische Technik/Biomedical Engineering)
Source: Biomedizinische Technik/Biomedical Engineering - October 12, 2023 Category: Biomedical Engineering Authors: Hui Xiong Yan Yan Lifei Sun Jinzhen Liu Yuqing Han Yangyang Xu Source Type: research
Machine learning based hybrid anomaly detection technique for automatic diagnosis of cardiovascular diseases using cardiac sympathetic nerve activity and electrocardiogram
CONCLUSIONS: The proposed automated AIHAD technique may serve as an efficient decision-support system to increase physicians' success in fast, early, and accurate diagnosis of CADs. It may be highly beneficial and valuable, particularly for asymptomatic patients, for whom the diagnostic information provided by ECG alone is not sufficient to reliably diagnose the disease. Hence, it may significantly improve patient outcomes by enabling timely treatments and considerably reducing the mortality of cardiovascular diseases (CVDs).PMID:37823386 | DOI:10.1515/bmt-2022-0406 (Source: Biomedizinische Technik/Biomedical Engineering)
Source: Biomedizinische Technik/Biomedical Engineering - October 12, 2023 Category: Biomedical Engineering Authors: Merve Begum Terzi Orhan Arikan Source Type: research
