AIMC Topic: Signal Processing, Computer-Assisted

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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...
Humans Neural Networks, Computer Signal Processing, Computer-Assisted Wavelet Analysis Neural Conduction Machine Learning Female 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 Speech Speech Recognition Software Algorithms Noise Speech Intelligibility Signal Processing, Computer-Assisted
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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...
Brain-Computer Interfaces Young Adult Blinking Adult Support Vector Machine Machine Learning Male Humans Electroencephalography Brain Neural Networks, Computer Signal Processing, Computer-Assisted Female
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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 ...
Neural Networks, Computer Algorithms Deep Learning Humans Electrocardiography Signal Processing, Computer-Assisted
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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...
Brain-Computer Interfaces Algorithms Brain Emotions Adult Female Electroencephalography Humans Male Signal Processing, Computer-Assisted
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Enhanced schizophrenia detection using multichannel EEG and CAOA-RST-based feature selection.

Scientific reports Jul 1, 2025
Schizophrenia is a mental disorder characterized by hallucinations, delusions, disorganized thinking and behavior, and inappropriate affect. Early and accurate diagnosis of schizophrenia remains a challenge due to the disorder's complex nature and th...
Humans Algorithms Female Adult Male Schizophrenia Support Vector Machine Electroencephalography Signal Processing, Computer-Assisted
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Towards decoding motor imagery from EEG signal using optimized back propagation neural network with honey badger algorithm.

Scientific reports Jul 1, 2025
The importance of using Brain-Computer Interface (BCI) systems based on electro encephalography (EEG) signal to decode Motor Imagery(MI) is very impressive because of the possibility of analyzing and translating brain signals related to movement inte...
Brain-Computer Interfaces Movement Imagination Brain Electroencephalography Humans Signal Processing, Computer-Assisted Neural Networks, Computer Algorithms
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Schizophrenia detection from electroencephalogram signals using image encoding and wrapper-based deep feature selection approach.

Scientific reports Jul 1, 2025
Schizophrenia is a persistent and serious mental illness that leads to distortions in cognition, perception, emotions, speech, self-awareness, and actions. Affecting about 1% of people worldwide, schizophrenia usually emerges in late adolescence or e...
Deep Learning Electroencephalography Signal Processing, Computer-Assisted Female Adult Male Schizophrenia Humans Machine Learning Brain
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Ensemble learning for biomedical signal classification: a high-accuracy framework using spectrograms from percussion and palpation.

Scientific reports Jul 1, 2025
Accurate classification of biomedical signals is crucial for advancing non-invasive diagnostic methods, particularly for identifying gastrointestinal and related medical conditions where conventional techniques often fall short. An ensemble learning ...
Machine Learning Algorithms Support Vector Machine Humans Neural Networks, Computer Palpation Percussion Signal Processing, Computer-Assisted Fourier Analysis Ensemble Learning
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Cuff-less blood pressure monitoring via PPG signals using a hybrid CNN-BiLSTM deep learning model with attention mechanism.

Scientific reports Jul 1, 2025
Blood pressure (BP) serves as a fundamental indicator of cardiovascular health, measuring the force exerted by circulating blood against arterial walls during each heartbeat. This paper introduces an advanced deep learning framework for precise, non-...
Signal Processing, Computer-Assisted Photoplethysmography Blood Pressure Determination Blood Pressure Neural Networks, Computer Humans Middle Aged Female Deep Learning Male Wearable Electronic Devices
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