machine learning

EmRad: Ubiquitous Vital Sign Sensing Using Compact Continuous-Wave Radars
EmRad: Ubiquitous Vital Sign Sensing Using Compact Continuous-Wave Radars 150 150 IEEE Open Journal of Engineering in Medicine and Biology (OJEMB)
In biomedical monitoring, non-intrusive and continuous tracking of vital signs is a crucial yet challenging objective. Although accurate, traditional methods, such as electrocardiography (ECG) and photoplethysmography (PPG), necessitate direct contact… read more

Guest Editorial Introduction to the Special Section on Invisible Sensing: Radar-Based Biomonitoring
Guest Editorial Introduction to the Special Section on Invisible Sensing: Radar-Based Biomonitoring 150 150 IEEE Open Journal of Engineering in Medicine and Biology (OJEMB)

Author(s): Bjoern M. Eskofier, Martin Vossiek Abstract: Published in: IEEE Open Journal of Engineering in Medicine and Biology Page(s): 678 – 679 Year of Publication: 2024 Electronic ISSN: 2644-1276 DOI:…

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Classification of Aortic Stenosis Patients via ECG-Independent Multi-Site Measurements of Cardiac-Induced Accelerations and Angular Velocities at the Skin Level
Classification of Aortic Stenosis Patients via ECG-Independent Multi-Site Measurements of Cardiac-Induced Accelerations and Angular Velocities at the Skin Level 150 150 IEEE Open Journal of Engineering in Medicine and Biology (OJEMB)
Goal: To evaluate the suitability of seismocardiogram (SCG) and gyrocardiogram (GCG) recorded at the skin level to classify aortic stenosis (AS) patients from healthy volunteers, and to determine the optimal… read more

A Review and Tutorial on Machine Learning-Enabled Radar-Based Biomedical Monitoring
A Review and Tutorial on Machine Learning-Enabled Radar-Based Biomedical Monitoring 150 150 IEEE Open Journal of Engineering in Medicine and Biology (OJEMB)
Radio detection and ranging-based (radar) sensing offers unique opportunities for biomedical monitoring and can help overcome the limitations of currently established solutions. Due to its contactless and unobtrusive measurement principle,… read more

On-Demand Gait-Synchronous Electrical Cueing in Parkinson’s Disease Using Machine Learning and Edge Computing: A Pilot Study
On-Demand Gait-Synchronous Electrical Cueing in Parkinson’s Disease Using Machine Learning and Edge Computing: A Pilot Study 150 150 IEEE Open Journal of Engineering in Medicine and Biology (OJEMB)
Goal: Parkinson’s disease (PD) can lead to gait impairment and Freezing of Gait (FoG). Recent advances in cueing technologies have enhanced mobility in PD patients. While sensor technology and machine… read more

Grand Challenges at the Interface of Engineering and Medicine
Grand Challenges at the Interface of Engineering and Medicine 150 150 IEEE Open Journal of Engineering in Medicine and Biology (OJEMB)
Over the past two decades Biomedical Engineering has emerged as a major discipline that bridges societal needs of human health care with the development of novel technologies. Every medical institution… read more

A Framework for Efficient N-Way Interaction Testing in Case/Control Studies With Categorical Data
Author(s)3: Aristos Aristodimou, Athos Antoniades, Efthimios Dardiotis, Eleni M. Loizidou, George M. Spyrou, Christina Votsi, Kyproula Christodoulou, Marios Pantzaris, Nikolaos Grigoriadis, Georgios M. Hadjigeorgiou, Theodoros Kyriakides, Constantinos S. Pattichis
A Framework for Efficient N-Way Interaction Testing in Case/Control Studies With Categorical Data 150 150 IEEE Open Journal of Engineering in Medicine and Biology (OJEMB)

Most common diseases are influenced by multiple gene interactions and interactions with the environment. Performing an exhaustive search to identify such interactions is computationally expensive and needs to address the…

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Accelerometry-Based Digital Gait Characteristics for Classification of Parkinson’s Disease: What Counts?
Author(s)3: Silvia Del Din, Cameron Kirk, Lynn Rochester, Christopher Buckley, Maria Encarna Mico-Amigo, Claudia Mazza, Michael Dunne-Willows, Jian Quing Shi, Rana Zia Ur Rehman, Lisa Alcock
Accelerometry-Based Digital Gait Characteristics for Classification of Parkinson’s Disease: What Counts? 800 545 IEEE Open Journal of Engineering in Medicine and Biology (OJEMB)

Gait may be a useful biomarker that can be objectively measured with wearable technology to classify Parkinson’s disease (PD). This study aims to: (i) comprehensively quantify a battery of commonly…

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Predicting Lymphoma Development by Exploiting Genetic Variants and Clinical Findings in a Machine Learning-Based Methodology With Ensemble Classifiers in a Cohort of Sjögren’s Syndrome Patients
Author(s)3: Clio Mavragani, Konstantina D. Kourou, Costas Papaloukas, Michalis Voulgarelis, Andreas Goules, Dimitrios I. Fotiadis, Themis Exarchos, Andrianos Nezos, Eleni I. Georga, Vasileios C. Pezoulas, Athanasios G. Tzioufas, Haralampos M. Moutsopoulos
Predicting Lymphoma Development by Exploiting Genetic Variants and Clinical Findings in a Machine Learning-Based Methodology With Ensemble Classifiers in a Cohort of Sjögren’s Syndrome Patients 800 534 IEEE Open Journal of Engineering in Medicine and Biology (OJEMB)

Lymphoma development constitutes one of the most serious clinico-pathological manifestations of patients with Sjögren’s Syndrome (SS). Over the last decades the risk for lymphomagenesis in SS patients has been studied…

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