Posts By :

dziura

Boosted-SpringDTW for Comprehensive Feature Extraction of PPG Signals

Boosted-SpringDTW for Comprehensive Feature Extraction of PPG Signals 150 150 IEEE Open Journal of Engineering in Medicine and Biology (OJEMB)
Goal: To achieve high-quality comprehensive feature extraction from physiological signals that enables precise physiological parameter estimation despite evolving waveform morphologies. read more

Artificial Intelligence for Detecting COVID-19 with the Aid of Human Cough, Breathing and Speech Signals: Scoping Review

Author(s): Mouzzam Husain, Andrew Simpkin, Claire Gibbons, Tanya Talkar, Daniel M. Low, Paolo Bonato, Satrajit Ghosh, Thomas Quatieri, Derek O'Keeffe
Artificial Intelligence for Detecting COVID-19 with the Aid of Human Cough, Breathing and Speech Signals: Scoping Review 150 150 IEEE Open Journal of Engineering in Medicine and Biology (OJEMB)
Background: Official tests for COVID-19 are time consuming, costly, can produce high false negatives, use up vital chemicals and may violate social distancing laws. Therefore, a fast and reliable additional solution using recordings of cough, breathing and speech data for preliminary screening may help alleviate these issues. read more

Bayesian Inference-Based Gaussian Mixture Models With Optimal Components Estimation Towards Large-Scale Synthetic Data Generation for In Silico Clinical Trials

Bayesian Inference-Based Gaussian Mixture Models With Optimal Components Estimation Towards Large-Scale Synthetic Data Generation for In Silico Clinical Trials 150 150 IEEE Open Journal of Engineering in Medicine and Biology (OJEMB)
Goal: To develop a computationally efficient and unbiased synthetic data generator for large-scale in silico clinical trials (CTs). read more

Machine Learning-Based Prediction of Impulse Control Disorders in Parkinson’s Disease From Clinical and Genetic Data

Machine Learning-Based Prediction of Impulse Control Disorders in Parkinson’s Disease From Clinical and Genetic Data 150 150 IEEE Open Journal of Engineering in Medicine and Biology (OJEMB)
Goal: Impulse control disorders (ICDs) are frequent non-motor symptoms occurring during the course of Parkinson’s disease (PD). The objective of this study was to estimate the predictability of the future occurrence of these disorders using longitudinal data, the first study using cross-validation and replication in an independent cohort. read more

SASDL and RBATQ: Sparse Autoencoder With Swarm Based Deep Learning and Reinforcement Based Q-Learning for EEG Classification

SASDL and RBATQ: Sparse Autoencoder With Swarm Based Deep Learning and Reinforcement Based Q-Learning for EEG Classification 150 150 IEEE Open Journal of Engineering in Medicine and Biology (OJEMB)
The most vital information about the electrical activities of the brain can be obtained with the help of Electroencephalography (EEG) signals. It is quite a powerful tool to analyze the neural activities of the brain and various neurological disorders like epilepsy, schizophrenia, sleep related disorders, parkinson disease etc. can be investigated well with the help of EEG signals. read more

Parameter Sensitivity and Experimental Validation for Fractional-Order Dynamical Modeling of Neurovascular Coupling

Parameter Sensitivity and Experimental Validation for Fractional-Order Dynamical Modeling of Neurovascular Coupling 150 150 IEEE Open Journal of Engineering in Medicine and Biology (OJEMB)
Goal: Modeling neurovascular coupling is very important to understand brain functions, yet challenging due to the complexity of the involved phenomena. An alternative approach was recently proposed where the framework of fractional-order modeling is employed to characterize the complex phenomena underlying the neurovascular. Due to its nonlocal property, a fractional derivative is suitable for modeling delayed and power-law phenomena. read more

Prediction of the Immune Phenotypes of Bladder Cancer Patients for Precision Oncology

Prediction of the Immune Phenotypes of Bladder Cancer Patients for Precision Oncology 150 150 IEEE Open Journal of Engineering in Medicine and Biology (OJEMB)

Author(s): Hyuna Cho, Feng Tong, Sungyong You, Sungyoung Jung, Won Hwa Kim, Jayoung Kim Bladder cancer (BC) is the most common urinary malignancy; however accurate diagnosis and prediction of recurrence…

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A Multiple Emergency Ventilator as Backup Solution in Pandemic: A Specifically Designed and Dimensioned Device

A Multiple Emergency Ventilator as Backup Solution in Pandemic: A Specifically Designed and Dimensioned Device 150 150 IEEE Open Journal of Engineering in Medicine and Biology (OJEMB)
Goal: To provide a Multiple Emergency Ventilator (MEV) as backup in case of shortage of ICU ventilators and for use in camp hospitals. Methods: MEV provides the same oxygen mixture and peak inspiratory pressure (PIP) to 10 patients. These specifications were fixed: i) gas supply and plugs to double-limb intubation sets compatible to existing systems; ii) fluid-dynamics with no pressure drop and almost complete patients’ uncoupling; iii) individual monitoring of inspiratory and expiratory pressures and flows and control of their timing; iv) easy stocking, transport, installation with self-supporting pipes. read more

The ElectroUteroGraph: A Novel Tool for Assessing Uterine Contractions of Non-Pregnant Women

The ElectroUteroGraph: A Novel Tool for Assessing Uterine Contractions of Non-Pregnant Women 150 150 IEEE Open Journal of Engineering in Medicine and Biology (OJEMB)
Goal: Uterine contractility is known to play significant role in women’s health. Ultrasonography and magnetic resonance imaging have been used for assessing uterine peristalsis, however they lack practicality, objectivity, and cost-effectiveness. In this paper, the ElectroUteroGraph (EUG) and novel electrodes are introduced, to cover the unmet need of practical intrauterine contractility assessment. The EUG measures biopotentials produced by uterine muscle contraction, similar to the basis of electrocardiography. read more

Continuous Speech for Improved Learning Pathological Voice Disorders

Continuous Speech for Improved Learning Pathological Voice Disorders 150 150 IEEE Open Journal of Engineering in Medicine and Biology (OJEMB)
Goal: Numerous studies had successfully differentiated normal and abnormal voice samples. Nevertheless, further classification had rarely been attempted. This study proposes a novel approach, using continuous Mandarin speech instead of a single vowel, to classify four common voice disorders (i.e. functional dysphonia, neoplasm, phonotrauma, and vocal palsy). read more