AIMC Topic: Algorithms

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Classification of Abnormal Gaits with Machine Learning Algorithms using Sensor-Inherited Insoles.

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 digital health industry's interest in gait analysis has driven research into sensor-enabled insoles for practical, everyday gait monitoring. Traditional methods, such as 3D motion capture systems, are costly and time-consuming. To address this, w...
Male Algorithms Support Vector Machine Gait Female Gait Analysis Adult Shoes Humans Machine Learning
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Interictal Epileptiform Discharge Detection Using Time-Frequency Analysis and Transfer 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
Interictal epileptiform discharges (IEDs) are electrophysiological events that intermittently occur in between seizures in Epilepsy patients. Automated detection of IEDs is crucial for assisting clinicians in epilepsy diagnosis as they can help ident...
Electroencephalography Epilepsy Seizures Humans Machine Learning Signal Processing, Computer-Assisted Algorithms Time Factors
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Deep Learning-Based Estimation of Arterial Stiffness from PPG Spectrograms: A Novel Approach for Non-Invasive Cardiovascular Diagnostics.

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
Cardiovascular diseases (CVDs), a leading cause of global mortality, are intricately linked to arterial stiffness, a key factor in cardiovascular health. Non-invasive assessment of arterial stiffness, particularly through Carotid-to-femoral Pulse Wav...
Signal Processing, Computer-Assisted Photoplethysmography Vascular Stiffness Female Pulse Wave Analysis Cardiovascular Diseases Adult Deep Learning Male Humans Algorithms
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Diagnosing Suicidal Ideation from Resting State EEG Data Using a Machine Learning Algorithm.

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
Suicide poses a global health crisis with significant social and economic impact. Prevention may be possible if objective quantitative methods are developed to supplement the often inaccurate interview-based risk assessments. Our research goal is to ...
Humans Signal Processing, Computer-Assisted Machine Learning Rest Suicidal Ideation Algorithms Male Support Vector Machine Female Middle Aged Electroencephalography Adult Depressive Disorder, Major
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Predicting Cardiovascular Disease Risk in Tobacco Users Using Machine Learning Algorithms.

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
Cardiovascular Diseases (CVDs) present a substantial global health burden, with tobacco use as a major risk factor. While extensive research has identified several risk factors for CVDs, there is a gap in predictive models that account for a combinat...
Risk Assessment Tobacco Use Male Cardiovascular Diseases Middle Aged Female Risk Factors Humans Machine Learning Algorithms Phenotype
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EEG-GMACN: Interpretable EEG Graph Mutual Attention Convolutional 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
Electroencephalogram (EEG) is a valuable technique to record brain electrical activity through electrodes placed on the scalp. Analyzing EEG signals contributes to the understanding of neurological conditions and developing brain-computer interface. ...
Brain-Computer Interfaces Electroencephalography Signal Processing, Computer-Assisted Electrodes Humans Neural Networks, Computer Algorithms Brain
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ECG Beat-By-Beat Classification Using Hybrid Transformer Neural Network Model in Smart Health.

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
Wearable cardiac monitors can be used to detect potential heart attack by syncing with smartphone apps for instant data analysis and alerts. Our goal is to build an efficient smart health application to help patients prevent and early diagnose the ri...
Humans Neural Networks, Computer Electrocardiography Signal Processing, Computer-Assisted Algorithms Wearable Electronic Devices Smartphone
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ANTs, BET, or…neither? An exploration of brain masking and machine learning tools applied to magnetic resonance elastography.

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
Magnetic resonance elastography is a quantitative MRI modality that can aid in diagnosis of disease by detecting altered tissue mechanical properties. While brain masking tools exist for common MRI sequences, such as T1-weighted and T2-weighted imagi...
Humans Elasticity Imaging Techniques Machine Learning Brain Algorithms Image Processing, Computer-Assisted Magnetic Resonance Imaging
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Visualization of Surgical Needle Tips Hidden Inside Organs Using Generative Adversarial Networks.

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
Postoperative complications in surgery are particularly prevalent in laparoscopic procedures, which are difficult for physicians to perform. One complication that is related to the surgical procedure itself is anastomotic leakage, in which the suture...
Humans Neural Networks, Computer Surgery, Computer-Assisted Algorithms Needles Image Processing, Computer-Assisted Generative Adversarial Networks Laparoscopy
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Deep Residual Neural Networks for Spatial EEG Source Imaging.

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
EEG source imaging is an indispensable tool for non-invasive study of brain function. Existing methods mainly directly deal with the EEG inverse problem by imposing prior constraints. However, different brain activation patterns may produce similar p...
Humans Brain Mapping Electroencephalography Neural Networks, Computer Brain Signal Processing, Computer-Assisted Algorithms Computer Simulation Convolutional Neural Networks
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