Biomedizinische Technik/Biomedical Engineering 
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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.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
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
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
A portable household detection system based on the combination of bidirectional LSTM and residual block for automatical arrhythmia detection
CONCLUSIONS: Hence, we thought our system can be used for practical application.PMID:37768977 | DOI:10.1515/bmt-2021-0146 (Source: Biomedizinische Technik/Biomedical Engineering)
Source: Biomedizinische Technik/Biomedical Engineering - September 28, 2023 Category: Biomedical Engineering Authors: Zeqiong Huang Shaohua Yang Qinhong Zou Xuliang Gao Bin Chen Source Type: research
