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ECGEL: a multimodal 12-lead ECG classification model for heart failure prediction

Cardiovascular diseases (CVD) are the leading cause of death worldwide, with heart failure (HF) being one of the most fata...

Biomedical Engineering Letters

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A review of hybrid EEG-based multimodal human–computer interfaces using deep learning: applications, advances, and challenges

Human–computer interaction (HCI) focuses on designing efficient and intuitive interactions between humans and comput...

Biomedical Engineering Letters

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Real-time monitoring and quantitative analysis of 3D tumor spheroids using portable cellular imaging system

Three-dimensional (3D) tumor spheroid models closely mimic in vivo tumor environment and play a vital role in studying onc...

Biomedical Engineering Letters

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Evaluation of a silicone-based flexible dry electrode for measuring human bioelectrical signals

The development of conductive polymer-based dry electrodes with high conductivity is promising for practical applications ...

Biomedical Engineering Letters

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Diffusion-Phys: noise-robust heart rate estimation from facial videos via diffusion models

Remote photoplethysmography (rPPG) offers significant potential for health monitoring and emotional analysis through non-c...

Biomedical Engineering Letters

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Convolutional channel modulator for transformer and LSTM networks in EEG-based emotion recognition

Electroencephalogram (EEG) signal is receiving much attention from recent studies since it is highly associated with intri...

Biomedical Engineering Letters

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Advances in cardiovascular signal analysis with future directions: a review of machine learning and deep learning models for cardiovascular disease classification based on ECG, PCG, and PPG signals

This systematic review examines the transformative impact of artificial intelligence (AI), including machine learning (ML)...

Biomedical Engineering Letters

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A study for expert-informed active pulmonary nodule segmentation

Accurate segmentation of pulmonary nodule based on computed tomography (CT) images is of great significance for the diagno...

Biomedical Engineering Letters

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Facial electromyogram-based emotion recognition for virtual reality applications using machine learning classifiers trained on posed expressions

Recognition of human emotions holds great potential for various daily-life applications. With the increasing interest in v...

Biomedical Engineering Letters

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Sensor arrangement strategy for effective bowel sound source localization

The main purpose of this study is to develop a method that can objectively evaluate the intestinal motility of patients wi...

Biomedical Engineering Letters

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$Artificial intelligence in ECG-based diagnosis of low left ventricular ejection fraction: a systematic review and meta-analysis$

Artificial intelligence in ECG-based diagnosis of low left ventricular ejection fraction: a systematic review and meta-analysis

Detecting Left Ventricular Systolic Dysfunction (LVSD) is crucial for counteracting heart failure progression. While Elect...

Biomedical Engineering Letters

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Efficient sparse-view medical image classification for low radiation and rapid COVID-19 diagnosis

This study proposes a deep learning-based diagnostic model called the Projection-wise Masked Autoencoder (ProMAE) for rapi...

Biomedical Engineering Letters

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Machine learning detection of epileptic seizure onset zone from iEEG

Accurate identification of seizure onset zones (SOZ) is essential for the surgical treatment of epilepsy. This narrative r...

Biomedical Engineering Letters

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Unobtrusive continuous hemodynamic monitoring method using processed heart sound signals in patients undergoing surgery: a proof of concept study

Heart sounds provide essential information about cardiac function; however, their clinical meaning and potential for minim...

Biomedical Engineering Letters

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Vision-language foundation models for medical imaging: a review of current practices and innovations

Foundation models, including large language models and vision-language models (VLMs), have revolutionized artificial intel...

Biomedical Engineering Letters

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Antibacterial and anticancer activity of multifunctional iron-based magnetic nanoparticles against urinary tract infection and cystitis-related bacterial strains and bladder cancer cells

Purpose: This study investigates the antibacterial and anticancer activity of previously reported iron oxide (Fe3O4)-based...

Biomedical Engineering Letters

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Early warning score and feasible complementary approach using artificial intelligence-based bio-signal monitoring system: a review

Early warning score (EWS) have become an essential component of patient safety strategies in healthcare environments world...

Biomedical Engineering Letters

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Characterization of time-dependent viscoelastic behaviors of alginate-calcium chloride hydrogels for bioprinting applications

Alginate is known to readily aggregate and form a physical gel when exposed to cations, making it a promising material for...

Biomedical Engineering Letters

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An Approach to Compute Fetal Cardiac Biomarkers from the Abdominal Electrocardiogram