Search Results - electrocardiogram data processing
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Real-time implementation of twelve-lead automated electrocardiogram system measurement for QT dispersion analysis
Published 2007“…Research and study of the electrocardiogram evolves with the advancement of digital signal processing and artificial intelligence. …”
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Classification of Cardiac Disorders Based on Electrocardiogram Data with Fuzzy Cognitive Map (FCM) Algorithm Approach
Published 2021“…This research contributes to the world of health, where we classify the Electrocardiogram (ECG) data, so that it can classify abnormal and normal cardiac disorders using the Fuzzy Cognitive Map (FCM) algorithm.…”
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Enhancing driver drowsiness detection for data acquisition stage using electrocardiogram
Published 2021“…Thus, this study proposed a driver drowsiness detection based on Electrocardiogram (ECG) for the data acquisition stage. …”
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12-channel USB data acquisition system for QT dispersion analysis
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Electrocardiogram (ECG) based stress recognition integrated with different classification of age and gender
Published 2019“…A total of 30 healthy subjects were involved during the data acquisition stage. Data acquisition which initialize ECG data were divided into two conditions; which are normal and stress states. …”
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Non-fiducial based electrocardiogram biometrics with kernel methods
Published 2017“…This thesis considers all the inherent processes to an ECG biometric system involving pre-processing, feature extraction and classification. …”
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Microsleep detection of automobile drivers using electrocardiogram signal
Published 2022“…One of the studies that have been done on observing the occurrence of microsleep is by analysing the electrocardiogram (ECG) signal. This study proposed to develop a steering wheel that extracts ECG signal from a driver in preventing microsleep through the data acquisition, pre-processing, feature extraction and classification stages. …”
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Neurons to heartbeats: spiking neural networks for electrocardiogram pattern recognition
Published 2024“…Establishing functioning spiking neural networks (SNN) involves figuring out the neuron’s state through its activity level, challenging due to its resemblance to the human brain’s data processing, yet appealing due to factors like improved unsupervised learning methods, with ten parameters chosen for the learning algorithm of SNN. …”
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Precise Electrocardiogram Signal Analysis Using ResNet, DenseNet, and XceptionNet Models in Autistic Children
Published 2026journal::journal article -
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A secure data authentication in wireless body area network for health monitoring using electrocardiogram-based key agreement
Published 2016“…Thus, this paper presents a new authentication protocol model that utilizes Electrocardiogram (ECG) signal as biometric as well as cryptographic key to ensure that the transmitted data are originated from the required WBAN. …”
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A secure data authentication in wireless body area network for health monitoring using electrocardiogram-based key agreement
Published 2016“…Thus, this paper presents a new authentication protocol model that utilizes Electrocardiogram (ECG) signal as biometric as well as cryptographic key to ensure that the transmitted data are originated from the required WBAN. …”
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Development of a portable fetal and maternal heart rate recorder for 24 hours
Published 2023“…The first is a microcontroller board which uses three electrodes, to sense the abdominal electrocardiogram (AECG) signals and then process the signal for monitoring FHR and recording the fetal and maternal RR intervals for 24 hours. …”
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A qualitative study on negative attitude toward electrocardiogram learning among undergraduate medical students
Published 2020“…Negative affect state toward learning has a substantial impact on the learning process, academic performance, and practice of a particular subject, but such attitude toward electrocardiogram (ECG) learning has still received relatively little attention in medical education research. …”
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Real time algorithm for the portable recording of fetal and maternal heart rates
Published 2023Subjects:Conference paper -
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Electrocardiogram based heart disease diagnosis using artificial intelligence
Published 2015“…The main tool that is widely used to understand the cardiac condition is an Electrocardiogram (ECG). Normal and abnormal cardiac function of the human heart can be analyzed through the application of the ECG signal processing and evaluation. …”
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Driver drowsiness detection using different classification algorithms
Published 2020“…Capability of electrocardiogram (ECG) signal in contributing to the daily application keeps developing days by days. …”
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Methods and approaches on inferring human emotional stress changes through physiological signals: A review
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Two-channel data acquisition unit for heart sound analysis
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Secured electrocardiograph (ECG) signal using fully homomorphic encryption technique
Published 2020“…Digital signal processing and data analysis frequently utilized strategies in biomedical engineering research. …”
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