AIMC Topic: Signal Processing, Computer-Assisted

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Evolving Blood Pressure Estimation: From Feature Analysis to Image-Based Deep Learning Models.

Journal of medical systems Jul 9, 2025
Traditional cuffless blood pressure (BP) estimation methods often require collecting physiological signals, such as electrocardiogram (ECG) and photoplethysmography (PPG), from two distinct body sites to compute metrics like pulse transit time (PTT) ...
Humans Deep Learning Blood Pressure Pulse Wave Analysis Signal Processing, Computer-Assisted Electrocardiography Blood Pressure Determination Photoplethysmography
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Efficient pretraining of ECG scalogram images using masked autoencoders for cardiovascular disease diagnosis.

Scientific reports Jul 8, 2025
Cardiovascular diseases (CVDs) are the leading cause of mortality worldwide, emphasizing the need for accurate and early diagnosis. Electrocardiograms (ECG) provide a non-invasive means of diagnosing various cardiac conditions. However, traditional m...
Humans Algorithms Electrocardiography Cardiovascular Diseases Signal Processing, Computer-Assisted Deep Learning Autoencoder
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Motor imagery EEG signal classification using novel deep learning algorithm.

Scientific reports Jul 8, 2025
Electroencephalography (EEG) signal classification plays a critical role in various biomedical and cognitive research applications, including neurological disorder detection and cognitive state monitoring. However, these technologies face challenges ...
Imagination Brain-Computer Interfaces Wavelet Analysis Humans Algorithms Electroencephalography Deep Learning Signal Processing, Computer-Assisted
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Filter-type neural network-based counter-pulsation control in pulsatile ECMO: improving heartbeat-pulse discrimination and synchronization accuracy.

Biomedical engineering online Jul 7, 2025
Implementing counter-pulsation (CP) control in pulsatile extracorporeal membrane oxygenator (p-ECMO) systems offers a refined approach to mitigate risks commonly associated with conventional ECMOs. To attain CP between the p-ECMO and heart, accurate ...
Heart Rate Pulsatile Flow Algorithms Electrocardiography Signal Processing, Computer-Assisted Extracorporeal Membrane Oxygenation Blood Pressure Humans Neural Networks, Computer
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Vibration-based gearbox fault diagnosis using a multi-scale convolutional neural network with depth-wise feature concatenation.

PloS one Jul 7, 2025
This article proposes a novel approach for vibration-based gearbox fault diagnosis using a multi-scale convolutional neural network with depth-wise feature concatenation named MixNet. In industrial environments where equipment reliability directly im...
Humans Neural Networks, Computer Deep Learning Vibration Signal Processing, Computer-Assisted Equipment Failure Analysis Convolutional Neural Networks
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Advanced multiscale machine learning for nerve conduction velocity analysis.

Scientific reports Jul 2, 2025
This paper presents an advanced machine learning (ML) framework for precise nerve conduction velocity (NCV) analysis, integrating multiscale signal processing with physiologically-constrained deep learning. Our approach addresses three fundamental li...
Neural Conduction Signal Processing, Computer-Assisted Wavelet Analysis Humans Neural Networks, Computer Female Machine Learning Male
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End-to-end feature fusion for jointly optimized speech enhancement and automatic speech recognition.

Scientific reports Jul 2, 2025
Speech enhancement (SE) and automatic speech recognition (ASR) in real-time processing involve improving the quality and intelligibility of speech signals on the fly, ensuring accurate transcription as the speech unfolds. SE eliminates unwanted backg...
Humans Noise Algorithms Speech Intelligibility Signal Processing, Computer-Assisted Speech Speech Recognition Software
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EEG based real time classification of consecutive two eye blinks for brain computer interface applications.

Scientific reports Jul 1, 2025
Human eye blinks are considered a significant contaminant or artifact in electroencephalogram (EEG), which impacts EEG-based medical or scientific applications. However, eye blink detection can instead be transformed into a potential application of b...
Blinking Young Adult Machine Learning Signal Processing, Computer-Assisted Brain Support Vector Machine Adult Humans Male Brain-Computer Interfaces Female Neural Networks, Computer Electroencephalography
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DeepECG-Net: a hybrid transformer-based deep learning model for real-time ECG anomaly detection.

Scientific reports Jul 1, 2025
Real-time Electrocardiogram (ECG) anomaly detection is critical for accurate diagnosis and timely intervention in cardiac disorders. Existing models, such as CNNs and LSTMs, often struggle with long-range dependencies, generalization across multiple ...
Humans Algorithms Electrocardiography Deep Learning Signal Processing, Computer-Assisted Neural Networks, Computer
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Improving EEG based brain computer interface emotion detection with EKO ALSTM model.

Scientific reports Jul 1, 2025
Decoding signals from the CNS brain activity is done by a computer-based communication device called a BCI. In contrast, the system is considered compelling communication equipment enabling command, communication, and action without using neuromuscul...
Emotions Electroencephalography Brain-Computer Interfaces Signal Processing, Computer-Assisted Humans Female Algorithms Adult Brain Male
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