4.6 Article

Optimal Combination of Mother Wavelet and AI Model for Precise Classification of Pediatric Electroretinogram Signals

Related references

Note: Only part of the references are listed.
Article Computer Science, Information Systems

A Skin Cancer Classification Method Based on Discrete Wavelet Down-Sampling Feature Reconstruction

Qing-e Wu et al.

Summary: In this paper, a skin pathological mirror classification method based on discrete wavelet down-sampling feature reconstruction is proposed to address the problems of feature information loss, insufficient characterization ability, and low utilization of channel information in skin cancer diagnosis. The wavelet down-sampling method is first introduced, and then the multichannel attention mechanism is applied to reconstruct the pathological features of high-frequency and low-frequency components, reducing the loss of feature information and effectively utilizing channel information.

ELECTRONICS (2023)

Review Ophthalmology

Shared Decision Making in Ophthalmology: A Scoping Review

Michael Bouaziz et al.

Summary: This study conducted a scoping review to explore the characteristics, implementation, and outcomes of shared decision making (SDM) in ophthalmology. The study found that SDM is regarded as a potentially useful tool in the field of ophthalmology, but there are significant barriers to its effective implementation.

AMERICAN JOURNAL OF OPHTHALMOLOGY (2022)

Review Ophthalmology

Novel technical and privacy-preserving technology for artificial intelligence in ophthalmology

Jane S. Lim et al.

Summary: This review outlines the application of artificial intelligence (AI) in ophthalmology, discussing privacy-preserving measures, potential challenges, and future directions. Key AI algorithms, including data-driven, image-driven, natural language processing (NLP)-driven, genomics-driven, and multimodality algorithms, have been used to improve disease detection and outcomes. Data protection methods, such as blockchain technology, federated learning, and generative adversarial networks, address privacy concerns.

CURRENT OPINION IN OPHTHALMOLOGY (2022)

Article Ophthalmology

ISCEV Standard for full-field clinical electroretinography (2022 update)

Anthony G. Robson et al.

Summary: This document presents an updated and revised ISCEV Standard for clinical electroretinogram (ERG) testing. It specifies minimum protocols for ERG stimuli, recording methods, and reporting to ensure consistency and facilitate diagnosis, monitoring, and inter-laboratory comparisons. The main changes include allowing ERGs to meet the Standard without mydriasis and providing more detail on analyzing oscillatory potentials (OPs).

DOCUMENTA OPHTHALMOLOGICA (2022)

Review Ophthalmology

Clinical electroretinography in diabetic retinopathy: a review

Jason McAnany et al.

Summary: The electroretinogram (ERG) is a noninvasive technique that evaluates retinal function and has become increasingly important in studying diabetic retinopathy. Recent clinical studies using various types of ERG have provided evidence of neural dysfunction in diabetic patients, even in those without apparent retinal vascular abnormalities. The ERG has the potential to play a growing role in understanding the natural history of neural dysfunction in diabetes and as an outcome measure in clinical trials targeting neural preservation in diabetic retinopathy.

SURVEY OF OPHTHALMOLOGY (2022)

Article Ophthalmology

Use of an alternating current amplifier when recording the ERG c-wave to evaluate the function of retinal pigment epithelial cells in rats

Naohisa Umeya et al.

Summary: The c-wave was clearly detected when the low-cut filter frequency was set at 0.01 Hz and light stimulus luminances were >= - 1.0 log cd/m(2). The c-wave attenuated earlier than other waves (e.g., a-wave and b-wave) after administration of sodium iodate (SI) to induce RPE degeneration. Using an AC amplifier may allow easier c-wave recording and could be useful for evaluating RPE function compared to a conventional DC amplifier.

DOCUMENTA OPHTHALMOLOGICA (2022)

Article Neurosciences

Discrete Wavelet Transform Analysis of the Electroretinogram in Autism Spectrum Disorder and Attention Deficit Hyperactivity Disorder

Paul A. Constable et al.

Summary: This study used a discrete wavelet transform (DWT) approach to evaluate the electroretinogram waveform in autism spectrum disorder (ASD) and attention deficit hyperactivity disorder (ADHD). Significant group differences were found in the b-wave and oscillatory potentials (OPs) energies, and the b-wave amplitude. The results suggest that retinal signal analysis may provide insights into group differences in neurodevelopmental or neurodegenerative conditions. Further research is needed to determine if it can be used as a classification model for conditions such as ASD and ADHD.

FRONTIERS IN NEUROSCIENCE (2022)

Article Medicine, General & Internal

Deep Transfer Learning for the Multilabel Classification of Chest X-ray Images

Guan-Hua Huang et al.

Summary: In this study, deep convolutional neural network models were used to extract features and identify diseases in CXR images. Transfer learning combined with large open-source image data sets was utilized to overcome insufficient training data and optimize the classification model. The results demonstrated the effectiveness of transfer learning in enhancing prediction capabilities and reducing computing costs for CXR images.

DIAGNOSTICS (2022)

Article Engineering, Biomedical

An in-silico analysis of retinal electric field distribution induced by different electrode design of trans-corneal electrical stimulation

Zhuofan Lu et al.

Summary: In this study, the researchers constructed a realistic finite element human head model to investigate the effect of different electrode configurations and stimulation parameters on the electric field distribution on the retina. They found that re-designing the TcES electrode settings and stimulus parameters could modulate the electric field distribution, and further adjusting the lateralization of the retina observation surface (ROS).

JOURNAL OF NEURAL ENGINEERING (2022)

Proceedings Paper Computer Science, Artificial Intelligence

CMT: Convolutional Neural Networks Meet Vision Transformers

Jianyuan Guo et al.

Summary: This paper introduces a novel hybrid network based on transformers and CNNs, called CMTs, which performs well in image recognition tasks and achieves a better trade-off between accuracy and computational efficiency.

2022 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR) (2022)

Article Ophthalmology

Continuous wavelet transform analysis of ERG in patients with diabetic retinopathy

Hamid Ahmadieh et al.

Summary: The study compared time and time-frequency-domain analysis in evaluating ERGs in subjects with NPDR, finding that implicit times of b-waves were significantly increased, and amplitudes of a- and b-wave were significantly decreased in the NPDR group.

DOCUMENTA OPHTHALMOLOGICA (2021)

Article Genetics & Heredity

Clinical and Genetic Characteristics of Korean Congenital Stationary Night Blindness Patients

Hyeong-Min Kim et al.

Summary: This study investigated the clinical and genetic characteristics of 19 Korean patients with congenital stationary night blindness (CSNB) at two tertiary hospitals. Different genetic mutations were found to be associated with different types of CSNB, and 10 novel variants were identified. Further studies with a larger number of subjects are needed to explore the clinical and genetic aspects of CSNB.

GENES (2021)

Article Psychology, Developmental

Light-Adapted Electroretinogram Differences in Autism Spectrum Disorder

Paul A. Constable et al.

JOURNAL OF AUTISM AND DEVELOPMENTAL DISORDERS (2020)

Article Computer Science, Information Systems

A Deep Transfer Convolutional Neural Network Framework for EEG Signal Classification

Gaowei Xu et al.

IEEE ACCESS (2019)

Article Engineering, Biomedical

Wavelet analysis of heart rate variability: Impact of wavelet selection

Alexander Tzabazis et al.

BIOMEDICAL SIGNAL PROCESSING AND CONTROL (2018)

Article Ophthalmology

ISCEV Standard for clinical electro-oculography (2017 update)

Paul A. Constable et al.

DOCUMENTA OPHTHALMOLOGICA (2017)

Proceedings Paper Computer Science, Artificial Intelligence

Densely Connected Convolutional Networks

Gao Huang et al.

30TH IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2017) (2017)

Article Ophthalmology

Full-field electroretinogram in autism spectrum disorder

Paul A. Constable et al.

DOCUMENTA OPHTHALMOLOGICA (2016)

Article Computer Science, Interdisciplinary Applications

Continuous-wavelet-transform analysis of the multifocal ERG waveform in glaucoma diagnosis

J. M. Miguel-Jimenez et al.

MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING (2015)

Article Biotechnology & Applied Microbiology

Advance in ERG Analysis: From Peak Time and Amplitude to Frequency, Power, and Energy

Mathieu Gauvin et al.

BIOMED RESEARCH INTERNATIONAL (2014)

Article Ophthalmology

Changes in Rod and Cone-Driven Oscillatory Potentials in the Aging Human Retina

Ioannis S. Dimopoulos et al.

INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE (2014)

Article Computer Science, Interdisciplinary Applications

An approach based on wavelet analysis for feature extraction in the a-wave of the electroretinogram

R. Barraco et al.

COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE (2011)

Article Engineering, Electrical & Electronic

Denoising Techniques With a Spatial Noise-Suppression Method for Wavelet-Based Power Quality Monitoring

Chiung-Chou Liao et al.

IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT (2011)

Article Biology

ERG signal analysis using wavelet transform

R. Barraco et al.

THEORY IN BIOSCIENCES (2011)

Review Ophthalmology

The electro-oculogram

GB Arden et al.

PROGRESS IN RETINAL AND EYE RESEARCH (2006)