AIMC Topic: Signal Processing, Computer-Assisted

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Graph Signal Processing, Graph Neural Network and Graph Learning on Biological Data: A Systematic Review.

IEEE reviews in biomedical engineering Jan 5, 2023
Graph networks can model data observed across different levels of biological systems that span from population graphs (with patients as network nodes) to molecular graphs that involve omics data. Graph-based approaches have shed light on decoding bio...
Algorithms Signal Processing, Computer-Assisted Neural Networks, Computer Humans
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A Survey of Optimization Methods for Independent Vector Analysis in Audio Source Separation.

Sensors (Basel, Switzerland) Jan 2, 2023
With the advent of the era of big data information, artificial intelligence (AI) methods have become extremely promising and attractive. It has become extremely important to extract useful signals by decomposing various mixed signals through blind so...
Algorithms Signal Processing, Computer-Assisted Artificial Intelligence
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Hybrid fuzzy deep neural network toward temporal-spatial-frequency features learning of motor imagery signals.

Scientific reports Dec 25, 2022
Achieving an efficient and reliable method is essential to interpret a user's brain wave and deliver an accurate response in biomedical signal processing. However, EEG patterns exhibit high variability across time and uncertainty due to noise and it ...
Imagination Signal Processing, Computer-Assisted Brain-Computer Interfaces Electroencephalography Artificial Intelligence Neural Networks, Computer Algorithms Bayes Theorem
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Fast Sleep Stage Classification Using Cascaded Support Vector Machines with Single-Channel EEG Signals.

Sensors (Basel, Switzerland) Dec 16, 2022
Long-term sleep stage monitoring is very important for the diagnosis and treatment of insomnia. With the development of wearable electroencephalogram (EEG) devices, we developed a fast and accurate sleep stage classification method in this study with...
Sleep Stages Sleep Support Vector Machine Signal Processing, Computer-Assisted Electroencephalography
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Investigating Cardiorespiratory Interaction Using Ballistocardiography and Seismocardiography-A Narrative Review.

Sensors (Basel, Switzerland) Dec 6, 2022
Ballistocardiography (BCG) and seismocardiography (SCG) are non-invasive techniques used to record the micromovements induced by cardiovascular activity at the body's center of mass and on the chest, respectively. Since their inception, their potenti...
Humans Signal Processing, Computer-Assisted Heart Rate Electrocardiography Artificial Intelligence Ballistocardiography Respiratory Rate
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Multi-Target PIR Indoor Localization and Tracking System with Artificial Intelligence.

Sensors (Basel, Switzerland) Dec 2, 2022
Pyroelectric infrared (PIR) sensors are low-cost, low-power, and highly reliable sensors that have been widely used in smart environments. Indoor localization systems may be wearable or non-wearable, where the latter are also known as device-free loc...
Algorithms Motion Artificial Intelligence Signal Processing, Computer-Assisted Neural Networks, Computer
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Home-care nursing controlled mobile robot with vital signal monitoring.

Medical & biological engineering & computing Nov 29, 2022
This study describes the development (design, construction, instrumentation, and control) of a nursing mobile robotic device to monitor vital signals in home-cared patients. The proposed device measures electrocardiography potentials, oxygen saturati...
Humans Robotic Surgical Procedures Robotics Movement Signal Processing, Computer-Assisted Self-Help Devices
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CNN and SVM-Based Models for the Detection of Heart Failure Using Electrocardiogram Signals.

Sensors (Basel, Switzerland) Nov 26, 2022
Heart failure (HF) is a serious condition in which the heart fails to supply the body with enough oxygen and nutrients to function normally. Early and accurate detection of heart failure is critical for impeding disease progression. An electrocardiog...
Arrhythmias, Cardiac Electrocardiography Heart Failure Humans Algorithms Signal Processing, Computer-Assisted Support Vector Machine Neural Networks, Computer
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Automatic seizure detection by convolutional neural networks with computational complexity analysis.

Computer methods and programs in biomedicine Nov 25, 2022
BACKGROUND AND OBJECTIVES: Nowadays, an automated computer-aided diagnosis (CAD) is an approach that plays an important role in the detection of health issues. The main advantages should be in early diagnosis, including high accuracy and low computat...
Systems Analysis Neural Networks, Computer Humans Seizures Diagnosis, Computer-Assisted Signal Processing, Computer-Assisted Electroencephalography
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Balancing of Motor Armature Based on LSTM-ZPF Signal Processing.

Sensors (Basel, Switzerland) Nov 22, 2022
Signal processing is important in the balancing of the motor armature, where the balancing accuracy depends on the extraction of the signal amplitude and phase from the raw vibration signal. In this study, a motor armature dynamic balancing method ba...
Neural Networks, Computer Signal Processing, Computer-Assisted
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