AIMC Topic: Signal Processing, Computer-Assisted

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An Incremental Class-Learning Approach with Acoustic Novelty Detection for Acoustic Event Recognition.

Sensors (Basel, Switzerland) Oct 5, 2021
Acoustic scene analysis (ASA) relies on the dynamic sensing and understanding of stationary and non-stationary sounds from various events, background noises and human actions with objects. However, the spatio-temporal nature of the sound signals may ...
Humans Signal Processing, Computer-Assisted Acoustics Recognition, Psychology Neural Networks, Computer Learning
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Real-time frequency-independent single-Lead and single-beat myocardial infarction detection.

Artificial intelligence in medicine Oct 1, 2021
This study proposes a novel real-time frequency-independent myocardial infarction detector for Lead II electrocardiograms. The underlying Deep-LSTM network is trained using the PTB-XL database, the largest to date publicly available electrocardiograp...
Myocardial Infarction Electrocardiography Humans Signal Processing, Computer-Assisted Neural Networks, Computer Algorithms Databases, Factual
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An Unsupervised Deep Feature Learning Model Based on Parallel Convolutional Autoencoder for Intelligent Fault Diagnosis of Main Reducer.

Computational intelligence and neuroscience Sep 30, 2021
Traditional diagnostic framework consists of three parts: data acquisition, feature generation, and fault classification. However, manual feature extraction utilized signal processing technologies heavily depending on subjectivity and prior knowledge...
Neural Networks, Computer Signal Processing, Computer-Assisted
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Effective and natural human-robot interaction requires multidisciplinary research.

Science robotics Sep 29, 2021
This special issue highlights the interdisciplinary nature of the research we conduct toward the development of HRI.
Interdisciplinary Research Signal Processing, Computer-Assisted Man-Machine Systems Artificial Intelligence Algorithms User-Computer Interface Robotics Reproducibility of Results Humans
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Deep Learning Methods for Remote Heart Rate Measurement: A Review and Future Research Agenda.

Sensors (Basel, Switzerland) Sep 20, 2021
Heart rate (HR) is one of the essential vital signs used to indicate the physiological health of the human body. While traditional HR monitors usually require contact with skin, remote photoplethysmography (rPPG) enables contactless HR monitoring by ...
Signal Processing, Computer-Assisted Heart Rate Algorithms Deep Learning Photoplethysmography Monitoring, Physiologic Humans
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Improving the Event-Based Classification Accuracy in Pit-Drilling Operations: An Application by Neural Networks and Median Filtering of the Acceleration Input Signal Data.

Sensors (Basel, Switzerland) Sep 19, 2021
Forestry is a complex economic sector which is relying on resource and process monitoring data. Most of the forest operations such as planting and harvesting are supported by the use of tools and machines, and their monitoring has been traditionally ...
Neural Networks, Computer Monitoring, Physiologic Signal Processing, Computer-Assisted Acceleration
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The emergence of machine learning in auditory neural impairment: A systematic review.

Neuroscience letters Sep 15, 2021
Hearing loss is a common neurodegenerative disease that can start at any stage of life. Misalignment of the auditory neural impairment may impose challenges in processing incoming auditory stimulus that can be measured using electroencephalography (E...
Humans Brain Support Vector Machine Evoked Potentials, Auditory Hearing Loss Electroencephalography Signal Processing, Computer-Assisted
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Interpretation of Electrocardiogram Heartbeat by CNN and GRU.

Computational and mathematical methods in medicine Aug 29, 2021
The diagnosis of electrocardiogram (ECG) is extremely onerous and inefficient, so it is necessary to use a computer-aided diagnosis of ECG signals. However, it is still a challenging problem to design high-accuracy ECG algorithms suitable for the med...
Electrocardiography Humans Algorithms Monitoring, Ambulatory Diagnosis, Computer-Assisted Signal Processing, Computer-Assisted Databases, Factual Wearable Electronic Devices Wavelet Analysis Arrhythmias, Cardiac Computational Biology Heart Rate Deep Learning Neural Networks, Computer
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Stochastic Memristive Interface for Neural Signal Processing.

Sensors (Basel, Switzerland) Aug 19, 2021
We propose a memristive interface consisting of two FitzHugh-Nagumo electronic neurons connected via a metal-oxide (Au/Zr/ZrO(Y)/TiN/Ti) memristive synaptic device. We create a hardware-software complex based on a commercial data acquisition system, ...
Electronics Signal Processing, Computer-Assisted Neural Networks, Computer Neurons Computers
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Lead Reconstruction Using Artificial Neural Networks for Ambulatory ECG Acquisition.

Sensors (Basel, Switzerland) Aug 18, 2021
One of the most powerful techniques to diagnose cardiovascular diseases is to analyze the electrocardiogram (ECG). To increase diagnostic sensitivity, the ECG might need to be acquired using an ambulatory system, as symptoms may occur during a patien...
Humans Neural Networks, Computer Algorithms Electrocardiography, Ambulatory Electrocardiography Signal Processing, Computer-Assisted
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