AIMC Topic: Signal Processing, Computer-Assisted

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Research on Tone Enhancement of Mandarin Pitch Controllable Electrolaryngeal Speech Based on Deep Learning.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
The deep learning-based electrolaryngeal (EL) voice conversion methods have achieved good results in non-tonal languages. However, the effectiveness in tonal languages, such as Mandarin Chinese (Mandarin), remains suboptimal. The reason may be that t...
China Deep Learning Humans Speech, Alaryngeal Speech Language Signal Processing, Computer-Assisted Speech Acoustics
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Personality Trait Recognition using ECG Spectrograms and Deep Learning.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
This paper presents an innovative approach to recognizing personality traits using deep learning (DL) methods applied to electrocardiogram (ECG) signals. The research explores the potential of ECG-derived spectrograms as informative features in detec...
Humans Electrocardiography Male Neural Networks, Computer Deep Learning Signal Processing, Computer-Assisted Female Personality
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Evaluating Augmentation Approaches for Deep Learning-based Major Depressive Disorder Diagnosis with Raw Electroencephalogram Data.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
While deep learning methods are increasingly applied in research contexts for neuropsychiatric disorder diagnosis, small dataset size limits their potential for clinical translation. Data augmentation (DA) could address this limitation, but the utili...
Electroencephalography Signal Processing, Computer-Assisted Humans Diagnosis, Computer-Assisted Deep Learning Algorithms Depressive Disorder, Major
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Advancements in Continuous Glucose Monitoring: Integrating Deep Learning and ECG Signal.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
This paper presents a novel approach to noninvasive hyperglycemia monitoring utilizing electrocardiograms (ECG) from an extensive database comprising 1119 subjects. Previous research on hyperglycemia or glucose detection using ECG has been constraine...
Neural Networks, Computer Algorithms Blood Glucose Electrocardiography Deep Learning Signal Processing, Computer-Assisted Humans Hyperglycemia Continuous Glucose Monitoring Monitoring, Physiologic
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Advancing SSVEP-BCI Decoding: Cross-Subject Transfer Learning and Short Calibrated Approach with ELM-AE.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
The Steady-State Visually Evoked Potential (SSVEP) is a robust paradigm for developing a high-speed Brain-Computer Interface (BCI). However, one of the challenges of BCI is to face the variability of EEG signals between subjects to reduce or eliminat...
Brain-Computer Interfaces Evoked Potentials, Visual Signal Processing, Computer-Assisted Calibration Machine Learning Algorithms Humans Male Adult Electroencephalography
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Interpretable SincNet-Based Spatiotemporal Neural Network for Seizure Prediction.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
Spatiotemporal convolutional neural networks (CNNs) have emerged as potent tools for seizure prediction (SP) using electroencephalogram (EEG) signals, probing spatiotemporal biomarkers in epileptic brains. Nevertheless, it poses significant challenge...
Neural Networks, Computer Algorithms Seizures Signal Processing, Computer-Assisted Electroencephalography Humans
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Graph dictionary learning for the study of human motion.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
In this article, we introduce a method inspired by Graph Signal Processing (GSP) for the analysis of human motion based on the 3D positions of skeletal joints. Our approach uses a graph dictionary learning technique, in which each velocity sample is ...
Algorithms Signal Processing, Computer-Assisted Movement Humans Machine Learning
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Advancing Cuffless Arterial Blood Pressure Waveform Estimation: Time-Series Deep Neural Network Approach.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
Existing deep learning models for arterial blood pressure (ABP) estimation are becoming increasingly complex. They mainly treat the estimation as a sequence-to-sequence (seq2seq) task, to establish the relationship between input physiological signals...
Algorithms Deep Learning Time Factors Humans Neural Networks, Computer Signal Processing, Computer-Assisted Blood Pressure Determination Arterial Pressure Blood Pressure
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Chin EMG Scalogram-Based Deep CNN for OSA Screening.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
Obstructive Sleep Apnea (OSA) is a common sleep condition characterized by frequent pauses in breathing caused by the relaxation of muscles in the upper airway during sleep. These pauses manifest in changes observed in Chin Electromyography (EMG), ai...
Chin Neural Networks, Computer Male Electromyography Sleep Apnea, Obstructive Humans Signal Processing, Computer-Assisted
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Decoding Visual Perception from EEG Using Explainable Graph Neural Network.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
Brain decoding is an emerging area in the fields of neuroscience and machine learning. The goal of decoding is to utilize measured brain activity to understand the thoughts or sensations of individuals. In the fields of computer vision and machine le...
Neural Networks, Computer Machine Learning Signal Processing, Computer-Assisted Brain Visual Perception Electroencephalography Graph Neural Networks Humans Algorithms
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