AIMC Topic: Signal Processing, Computer-Assisted

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Human Activity Recognition Using Attention-Mechanism-Based Deep Learning Feature Combination.

Sensors (Basel, Switzerland) Jun 19, 2023
Human activity recognition (HAR) performs a vital function in various fields, including healthcare, rehabilitation, elder care, and monitoring. Researchers are using mobile sensor data (i.e., accelerometer, gyroscope) by adapting various machine lear...
Aged Neural Networks, Computer Signal Processing, Computer-Assisted Machine Learning Deep Learning Human Activities Humans
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Genetic algorithm designed for optimization of neural network architectures for intracranial EEG recordings analysis.

Journal of neural engineering Jun 16, 2023
The current practices of designing neural networks rely heavily on subjective judgment and heuristic steps, often dictated by the level of expertise possessed by architecture designers. To alleviate these challenges and streamline the design process,...
Humans Signal Processing, Computer-Assisted Electrocorticography Neural Networks, Computer Electroencephalography
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Centrifugal Pump Fault Diagnosis Based on a Novel SobelEdge Scalogram and CNN.

Sensors (Basel, Switzerland) Jun 1, 2023
This paper presents a novel framework for classifying ongoing conditions in centrifugal pumps based on signal processing and deep learning techniques. First, vibration signals are acquired from the centrifugal pump. The acquired vibration signals are...
Vibration Neural Networks, Computer Signal Processing, Computer-Assisted
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In-Sensor Artificial Intelligence and Fusion With Electronic Medical Records for At-Home Monitoring.

IEEE transactions on biomedical circuits and systems May 10, 2023
This work presents an artificial intelligence (AI) framework for real-time, personalized sepsis prediction four hours before onset through fusion of electrocardiogram (ECG) and patient electronic medical record. An on-chip classifier combines analog ...
Electrocardiography Signal Processing, Computer-Assisted Sepsis Humans Artificial Intelligence Electronic Health Records
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Flamingo-Optimization-Based Deep Convolutional Neural Network for IoT-Based Arrhythmia Classification.

Sensors (Basel, Switzerland) Apr 28, 2023
Cardiac arrhythmia is a deadly disease that threatens the lives of millions of people, which shows the need for earlier detection and classification. An abnormal signal in the heart causing arrhythmia can be detected at an earlier stage when the heal...
Animals Humans Arrhythmias, Cardiac Birds Neural Networks, Computer Heart Rate Electrocardiography Signal Processing, Computer-Assisted Algorithms
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Algorithms and Techniques for the Structural Health Monitoring of Bridges: Systematic Literature Review.

Sensors (Basel, Switzerland) Apr 24, 2023
Structural health monitoring (SHM) systems are used to analyze the health of infrastructures such as bridges, using data from various types of sensors. While SHM systems consist of various stages, feature extraction and pattern recognition steps are ...
Monitoring, Physiologic Signal Processing, Computer-Assisted Machine Learning Algorithms Neural Networks, Computer
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Automated inter-patient arrhythmia classification with dual attention neural network.

Computer methods and programs in biomedicine Apr 20, 2023
BACKGROUND AND OBJECTIVES: Arrhythmia classification based on electrocardiograms (ECG) can enhance clinical diagnostic efficiency. However, due to the significant differences in the number of different categories of heartbeats, the performance of cla...
Humans Neural Networks, Computer Electrocardiography Arrhythmias, Cardiac Algorithms Signal Processing, Computer-Assisted Databases, Factual Heart Rate
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Parkinson's disease detection and classification using EEG based on deep CNN-LSTM model.

Biotechnology & genetic engineering reviews Apr 11, 2023
The progressive loss of motor function in the brain is a hallmark of Parkinson's disease (PD). Electroencephalogram (EEG) signals are commonly used for early diagnosis since they are associated with a brain disorder. This work aims to find a better w...
Humans Signal Processing, Computer-Assisted Neural Networks, Computer Parkinson Disease Electroencephalography Deep Learning
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Fully Complex-Valued Dendritic Neuron Model.

IEEE transactions on neural networks and learning systems Apr 4, 2023
A single dendritic neuron model (DNM) that owns the nonlinear information processing ability of dendrites has been widely used for classification and prediction. Complex-valued neural networks that consist of a number of multiple/deep-layer McCulloch...
Signal Processing, Computer-Assisted Neurons Neural Networks, Computer Algorithms
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A study of autoencoders as a feature extraction technique for spike sorting.

PloS one Mar 9, 2023
Spike sorting is the process of grouping spikes of distinct neurons into their respective clusters. Most frequently, this grouping is performed by relying on the similarity of features extracted from spike shapes. In spite of recent developments, cur...
Signal Processing, Computer-Assisted Algorithms Machine Learning Neurons Action Potentials
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