Electrocardiogram (ECG) classification system using combined deep learning models, has classification module which integrates outputs from CNN, LSTM, and attention mechanism using ensemble deep learning model to classify ECG signals into multiple cardiac conditions
	DUBEY S; GUPTA R; AGRAWAL K; CHAUDHARY K
	2025-03-31
专利权人	KIET GROUP INST (KIET-Non-standard)
申请日期	2025-03-31
专利号	IN202511031511-A
成果简介	NOVELTY - The system has a data acquisition module for receiving and preprocessing electrocardiogram (ECG) signals from patient monitoring devices or external datasets. A feature extraction module incorporates a convolutional neural network (CNN) to extract spatial features from ECG waveforms. A sequential pattern recognition module utilizes a long short-term memory (LSTM) network to analyze temporal dependencies within ECG signals. An attention mechanism module emphasizes critical ECG segments. A classification module integrates outputs from the CNN, LSTM, and attention mechanism using an ensemble deep learning model to classify ECG signals into multiple cardiac conditions. USE - Electrocardiogram (ECG) classification system using combined deep learning models, for use in hospitals, telemedicine applications, and wearable health devices for early detection of cardiovascular diseases such as arrhythmias and myocardial infarctions. ADVANTAGE - The system improves clinical workflows, enhances remote monitoring capabilities, and reduces diagnostic errors. The ensemble deep learning model significantly enhances classification accuracy compared to standalone models. The system is highly scalable, making it suitable for deployment in hospitals, wearable devices, and telemedicine applications. The model extracts both spatial and temporal features from ECG signals, offering high-precision automated cardiac diagnostics.
IPC 分类号	A61B-005/00 ; G06N-003/08 ; G16H-040/63 ; G16H-040/67 ; G16H-050/20
国家	印度
专业领域	信息技术
语种	英语
成果类型	专利
文献类型	科技成果
条目标识符	http://119.78.100.226:8889/handle/3KE4DYBR/13300
专题	中国科学院新疆生态与地理研究所
作者单位	KIET GROUP INST (KIET-Non-standard)
推荐引用方式 GB/T 7714	DUBEY S,GUPTA R,AGRAWAL K,et al. Electrocardiogram (ECG) classification system using combined deep learning models, has classification module which integrates outputs from CNN, LSTM, and attention mechanism using ensemble deep learning model to classify ECG signals into multiple cardiac conditions. IN202511031511-A[P]. 2025.

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