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A Review and Tutorial on Machine Learning-Enabled Radar-Based Biomedical Monitoring [PDF]

open access: yesIEEE Open Journal of Engineering in Medicine and Biology
Radio detection and ranging-based (radar) sensing offers unique opportunities for biomedical monitoring and can help overcome the limitations of currently established solutions.
Daniel Krauss   +14 more
doaj   +2 more sources

Recent Advances in Natural-Polymer-Based Hydrogels for Body Movement and Biomedical Monitoring [PDF]

open access: yesBiosensors
In recent years, the interest in medical monitoring for human health has been rapidly increasing due to widespread concern. Hydrogels are widely used in medical monitoring and other fields due to their excellent mechanical properties, electrical ...
Jing Liu   +7 more
doaj   +2 more sources

Monitoring COVID-19 Patients Using Cardio-Pulmonary Stethoscope RF Technology: Computer Simulation Study Using CT Scans of Patients

open access: yesIEEE Access, 2022
In 2020, the COVID-19 pandemic claimed 3 million lives worldwide in span of a year; the death toll is still on rise as of writing of this article. Hospitals around the globe overwhelmed with COVID-19 patients faced medical resource shortages preventing ...
Magdy F. Iskander   +4 more
doaj   +1 more source

Artificial Intelligence-Enabled ECG Algorithm Based on Improved Residual Network for Wearable ECG

open access: yesSensors, 2021
Heart disease is the leading cause of death for men and women globally. The residual network (ResNet) evolution of electrocardiogram (ECG) technology has contributed to our understanding of cardiac physiology.
Hongqiang Li   +11 more
doaj   +1 more source

Non-Invasive Assessment of Lung Water Content Using Chest Patch RF Sensors: A Computer Study Using NIH Patients CT Scan Database and AI Classification Algorithms

open access: yesIEEE Access, 2023
Chronic heart failure, pulmonary hypertension, acute respiratory distress syndrome (ARDS), coronavirus disease (COVID), and kidney failure are leading causes of death in the U.S. and across the globe.
Christopher Leong   +3 more
doaj   +1 more source

On Board Neuro Fuzzy Inverse Optimal Control for Type 1 Diabetes Mellitus Treatment: In-Silico Testing

open access: yesAdvances in Electrical and Computer Engineering, 2022
Type 1 Diabetes Mellitus (T1DM) is one of the most adverse diseases in the modern era; its treatment is mainly based on exogenous insulin injections. The scientific community has formulated strategies to improve insulin supply using state-of-the-art ...
RIOS, Y.   +5 more
doaj   +1 more source

Sensorized Garments for biomedical monitoring: Design issues [PDF]

open access: yesProceedings of 2nd International Electronic Conference on Sensors and Applications, 2015
This paper discusses the user and technical requirements in designing smart garments for biomedical monitoring in several and very different applications: in hospital settings, during activities of daily living (ADL), sport and fitness, home care, working environments.
Giuseppe Andreoni   +2 more
openaire   +3 more sources

Monitoring of Biomedical License Agreements [PDF]

open access: yesPharmaceutical Development and Regulation, 2003
Because technology licensed from research organizations can play a significant role in drug innovation and the generation of novel biomedical products, licensee performance under such agreements must be effectively monitored. This is necessary so that resultant benefits, including public health improvement, may be returned to the innovator(s) as well ...
George H, Keller   +2 more
openaire   +2 more sources

Proof of Concept in Artificial-Intelligence-Based Wearable Gait Monitoring for Parkinson’s Disease Management Optimization

open access: yesBiosensors, 2022
Parkinson’s disease (PD) is the second most common progressive neurodegenerative disorder, affecting 6.2 million patients and causing disability and decreased quality of life.
Robert Radu Ileșan   +6 more
doaj   +1 more source

Performance of Oral Cavity Sensors: A Systematic Review

open access: yesSensors, 2023
Technological advancements are enabling new applications within biomedical engineering. As a connection point between the outer environment and the human system, the oral cavity offers unique opportunities for sensing technologies.
Leonardo de Almeida e Bueno   +2 more
doaj   +1 more source

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