Oliver Faust
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View article: Atrial Fibrillation Detection on the Embedded Edge: Energy-Efficient Inference on a Low-Power Microcontroller
Atrial Fibrillation Detection on the Embedded Edge: Energy-Efficient Inference on a Low-Power Microcontroller Open
Atrial Fibrillation (AF) is a common yet often undiagnosed cardiac arrhythmia with serious clinical consequences, including increased risk of stroke, heart failure, and mortality. In this work, we present a novel Embedded Edge system perfo…
View article: SplitFed Learning for Dementia Diagnosis: A Privacy-Preserving Framework for Distributed Healthcare
SplitFed Learning for Dementia Diagnosis: A Privacy-Preserving Framework for Distributed Healthcare Open
Dementia affects millions of people worldwide, posing significant challenges for early diagnosis, monitoring, and treatment. With the growing adoption of artificial intelligence (AI) techniques in healthcare, it is crucial to address criti…
View article: Automated Lightweight Model for Asthma Detection Using Respiratory and Cough Sound Signals
Automated Lightweight Model for Asthma Detection Using Respiratory and Cough Sound Signals Open
Background and objective: Chronic respiratory diseases, such as asthma and COPD, pose significant challenges to human health and global healthcare systems. This pioneering study utilises AI analysis and modelling of cough and respiratory s…
View article: Issues and Limitations on the Road to Fair and Inclusive AI Solutions for Biomedical Challenges
Issues and Limitations on the Road to Fair and Inclusive AI Solutions for Biomedical Challenges Open
Objective: In this paper, we explore the correlation between performance reporting and the development of inclusive AI solutions for biomedical problems. Our study examines the critical aspects of bias and noise in the context of medical d…
View article: Fibromyalgia Detection and Diagnosis: A Systematic Review of Data-Driven Approaches and Clinical Implications
Fibromyalgia Detection and Diagnosis: A Systematic Review of Data-Driven Approaches and Clinical Implications Open
Fibromyalgia syndrome (FMS) is a long-lasting medical condition that poses significant challenges for diagnosis and management because of its complex and poorly understood nature. It affects millions of people around the globe, predominant…
View article: Application of artificial intelligence in air pollution monitoring and forecasting: A systematic review
Application of artificial intelligence in air pollution monitoring and forecasting: A systematic review Open
View article: Synthetic Data Generation via Generative Adversarial Networks in Healthcare: A Systematic Review of Image- and Signal-Based Studies
Synthetic Data Generation via Generative Adversarial Networks in Healthcare: A Systematic Review of Image- and Signal-Based Studies Open
Generative Adversarial Networks (GANs) have emerged as a powerful tool in artificial intelligence, particularly for unsupervised learning. This systematic review analyzes GAN applications in healthcare, focusing on image and signal-based s…
View article: Enhancing Osteoporosis Detection: An Explainable Multi-Modal Learning Framework with Feature Fusion and Variable Clustering
Enhancing Osteoporosis Detection: An Explainable Multi-Modal Learning Framework with Feature Fusion and Variable Clustering Open
Osteoporosis is a common condition that increases fracture risk, especially in older adults. Early diagnosis is vital for preventing fractures, reducing treatment costs, and preserving mobility. However, healthcare providers face challenge…
View article: Deep learning in radiology for lung cancer diagnostics: A systematic review of classification, segmentation, and predictive modeling techniques
Deep learning in radiology for lung cancer diagnostics: A systematic review of classification, segmentation, and predictive modeling techniques Open
View article: Editorial: Artificial intelligence based diagnostics for neurological disorders
Editorial: Artificial intelligence based diagnostics for neurological disorders Open
EDITORIAL article Front. Hum. Neurosci., 05 October 2023Sec. Brain Imaging and Stimulation Volume 17 - 2023 | https://doi.org/10.3389/fnhum.2023.1287959
View article: <scp>PrismPatNet</scp>: Novel prism pattern network for accurate fault classification using engine sound signals
<span>PrismPatNet</span>: Novel prism pattern network for accurate fault classification using engine sound signals Open
Engines are prone to various types of faults, and it is crucial to detect and indeed classify them accurately. However, manual fault type detection is time‐consuming and error‐prone. Automated fault type detection promises to reduce inter‐…
View article: Speech Emotion Recognition Using Attention Model
Speech Emotion Recognition Using Attention Model Open
Speech emotion recognition is an important research topic that can help to maintain and improve public health and contribute towards the ongoing progress of healthcare technology. There have been several advancements in the field of speech…
View article: An Explainable Deep Learning Model to Prediction Dental Caries Using Panoramic Radiograph Images
An Explainable Deep Learning Model to Prediction Dental Caries Using Panoramic Radiograph Images Open
Dental caries is the most frequent dental health issue in the general population. Dental caries can result in extreme pain or infections, lowering people’s quality of life. Applying machine learning models to automatically identify dental …
View article: Automated analysis of small intestinal lamina propria to distinguish normal, Celiac Disease, and Non-Celiac Duodenitis biopsy images
Automated analysis of small intestinal lamina propria to distinguish normal, Celiac Disease, and Non-Celiac Duodenitis biopsy images Open
To the best of our knowledge, this is the first study that documents automated differentiation between normal, NCD, and CD biopsy images. These findings are a stepping stone toward automated biopsy image analysis that can significantly ben…
View article: L-Tetrolet Pattern-Based Sleep Stage Classification Model Using Balanced EEG Datasets
L-Tetrolet Pattern-Based Sleep Stage Classification Model Using Balanced EEG Datasets Open
Background: Sleep stage classification is a crucial process for the diagnosis of sleep or sleep-related diseases. Currently, this process is based on manual electroencephalogram (EEG) analysis, which is resource-intensive and error-prone. …
View article: Environmental Benefits of Sleep Apnoea Detection in the Home Environment
Environmental Benefits of Sleep Apnoea Detection in the Home Environment Open
Sleep Apnoea (SA) is a common chronic illness that affects nearly 1 billion people around the world, and the number of patients is rising. SA causes a wide range of psychological and physiological ailments that have detrimental effects on …
View article: An Accurate Multiple Sclerosis Detection Model Based on Exemplar Multiple Parameters Local Phase Quantization: ExMPLPQ
An Accurate Multiple Sclerosis Detection Model Based on Exemplar Multiple Parameters Local Phase Quantization: ExMPLPQ Open
Multiple sclerosis (MS) is a chronic demyelinating condition characterized by plaques in the white matter of the central nervous system that can be detected using magnetic resonance imaging (MRI). Many deep learning models for automated MS…
View article: Hybrid Deep Feature Generation for Appropriate Face Mask Use Detection
Hybrid Deep Feature Generation for Appropriate Face Mask Use Detection Open
Mask usage is one of the most important precautions to limit the spread of COVID-19. Therefore, hygiene rules enforce the correct use of face coverings. Automated mask usage classification might be used to improve compliance monitoring. Th…
View article: Fusion of B‐mode and shear wave elastography ultrasound features for automated detection of axillary lymph node metastasis in breast carcinoma
Fusion of B‐mode and shear wave elastography ultrasound features for automated detection of axillary lymph node metastasis in breast carcinoma Open
In this study, we evaluate and compare the diagnostic performance of ultrasound for non‐invasive axillary lymph node (ALN) metastasis detection. The study was based on fusing shear wave elastography (SWE) and B‐mode ultrasonography (USG) i…
View article: Application of photoplethysmography signals for healthcare systems: An in-depth review
Application of photoplethysmography signals for healthcare systems: An in-depth review Open
View article: Atrial fibrillation detection service validation tool
Atrial fibrillation detection service validation tool Open
We developed a software tool to validate a deep learning algorithm for an atrial fibrillation detection service with heart rate data from a clinical study. The deep learning algorithm analyses the measurement data and establishes an estima…
View article: Automated Arrhythmia Detection Based on RR Intervals
Automated Arrhythmia Detection Based on RR Intervals Open
Abnormal heart rhythms, also known as arrhythmias, can be life-threatening. AFIB and AFL are examples of arrhythmia that affect a growing number of patients. This paper describes a method that can support clinicians during arrhythmia diagn…
View article: Fusion of Higher Order Spectra and Texture Extraction Methods for Automated Stroke Severity Classification with MRI Images
Fusion of Higher Order Spectra and Texture Extraction Methods for Automated Stroke Severity Classification with MRI Images Open
This paper presents a scientific foundation for automated stroke severity classification. We have constructed and assessed a system which extracts diagnostically relevant information from Magnetic Resonance Imaging (MRI) images. The design…
View article: A review of patient-led data acquisition for atrial fibrillation detection to prevent stroke
A review of patient-led data acquisition for atrial fibrillation detection to prevent stroke Open
View article: Automated ASD detection using hybrid deep lightweight features extracted from EEG signals
Automated ASD detection using hybrid deep lightweight features extracted from EEG signals Open
View article: Automated blast cell detection for Acute Lymphoblastic Leukemia diagnosis
Automated blast cell detection for Acute Lymphoblastic Leukemia diagnosis Open
View article: Future <scp>IoT</scp> tools for <scp>COVID</scp>‐19 contact tracing and prediction: A review of the state‐of‐the‐science
Future <span>IoT</span> tools for <span>COVID</span>‐19 contact tracing and prediction: A review of the state‐of‐the‐science Open
In 2020 the world is facing unprecedented challenges due to COVID‐19. To address these challenges, many digital tools are being explored and developed to contain the spread of the disease. With the lack of availability of vaccines, there i…
View article: Hybrid Decision Support to Monitor Atrial Fibrillation for Stroke Prevention
Hybrid Decision Support to Monitor Atrial Fibrillation for Stroke Prevention Open
In this paper, we discuss hybrid decision support to monitor atrial fibrillation for stroke prevention. Hybrid decision support takes the form of human experts and machine algorithms working cooperatively on a diagnosis. The link to stroke…
View article: Automated Detection of Sleep Stages Using Deep Learning Techniques: A Systematic Review of the Last Decade (2010–2020)
Automated Detection of Sleep Stages Using Deep Learning Techniques: A Systematic Review of the Last Decade (2010–2020) Open
Sleep is vital for one’s general well-being, but it is often neglected, which has led to an increase in sleep disorders worldwide. Indicators of sleep disorders, such as sleep interruptions, extreme daytime drowsiness, or snoring, can be d…
View article: A Smart Service Platform for Cost Efficient Cardiac Health Monitoring
A Smart Service Platform for Cost Efficient Cardiac Health Monitoring Open
Aim: In this study we have investigated the problem of cost effective wireless heart health monitoring from a service design perspective. Subject and Methods: There is a great medical and economic need to support the diagnosis of a wide ra…