A5032403872- Microwave Imaging and Scattering Analysis
- Ultrasonics and Acoustic Wave Propagation
- Wireless Body Area Networks
- Electrical and Bioimpedance Tomography
- Geophysical Methods and Applications
- Microwave and Dielectric Measurement Techniques
- Non-Invasive Vital Sign Monitoring
- Wireless Power Transfer Systems
- Heart Rate Variability and Autonomic Control
- Microfluidic and Bio-sensing Technologies
- Emotion and Mood Recognition
- Ultrasound and Hyperthermia Applications
- Cardiac electrophysiology and arrhythmias
- Ultrasound Imaging and Elastography
- Aortic aneurysm repair treatments
- Electrostatic Discharge in Electronics
- Advanced Sensor and Energy Harvesting Materials
- Neonatal and fetal brain pathology
- ECG Monitoring and Analysis
- Neuroscience and Neural Engineering
- Microbial Inactivation Methods
- Atrial Fibrillation Management and Outcomes
- Cardiac Arrhythmias and Treatments
- Body Composition Measurement Techniques
- Aortic Disease and Treatment Approaches
Mayo Clinic in Florida
2025
WinnMed
2025
Ollscoil na Gaillimhe – University of Galway
2015-2024
University of Trieste
2024
University Hospital Galway
2020-2024
East Tennessee State University
2024
Mayo Clinic in Arizona
2023
National University of Ireland
2018
Capital University of Science and Technology
2017
Institute of Space Technology
2017
With the recent advancements in field of wearable technologies, opportunity to monitor stress continuously using different physiological variables has gained significant interest. The early detection can help improve healthcare and minimizes negative impact long-term stress. This paper reports outcomes a pilot study associated stress-monitoring dataset, named "Stress-Predict Dataset", created by collecting signals from healthy subjects wrist-worn watches with photoplethysmogram (PPG) sensor....
Everyday responsibilities and lifestyle issues are the main cause of physical psychological stress, which deteriorates individual's health. Prolonged exposure to stress triggers adrenocorticotrophic hormonal (ACTH) system causes release cortisol hormones from adrenal cortex. Many other biomarkers affected by but is considered most vital potentially clinically useful biomarker for estimation monitoring. Accurate timely detection increased levels might improve diagnosis, treatment, prevention...
Confocal Microwave Imaging (CMI) for the early detection of breast cancer has been under development over two decades and is currently going through early-phase clinical evaluation. The image reconstruction algorithm a key signal processing component any CMI-based imaging system impacts efficacy CMI in detecting cancer. Several algorithms have developed since its inception. These previously evaluated compared, using both numerical physical models, healthy volunteer data. However, no study...
Background: It is known that proteins associated with Alzheimer’s disease (AD) pathogenesis are significantly reduced by 40 Hz entrainment in mice. If this were to translate humans, verifying such a light stimulus can induce response humans and harnessing insights from these case studies could be one step the development of multisensory device prevent treat AD. Objective: Verify inducement human brain obtain potentially aid for prevention treatment Methods: Electroencephalographic activity...
Respiratory rate can provide auxiliary information on the physiological changes within human body, such as physical and emotional stress. In a clinical setup, abnormal respiratory be indicative of deterioration patient's condition. Most existing algorithms for estimation using photoplethysmography (PPG) are sensitive to external noise may require selection certain algorithm-specific parameters, through trial-and-error method. This paper proposes new algorithm estimate sensor signal health...
Time-series features are the characteristics of data periodically collected over time. The calculation time-series helps in understanding underlying patterns and structure data, as well visualizing data. manual selection feature from a large temporal dataset time-consuming. It requires researchers to consider several signal-processing algorithms analysis methods identify extract meaningful given These core machine learning-based predictive model designed describe informative signal. For...
Stress is known as a silent killer that contributes to several life-threatening health conditions such high blood pressure, heart disease, and diabetes. The current standard for stress evaluation based on self-reported questionnaires standardized scores. There no gold independently evaluate levels despite the availability of numerous biophysiological indicators. With an increasing interest in wearable monitoring recent years, studies have explored potential various indicators this purpose....
Over the past decade, there has been a significant development in wearable health technologies for diagnosis and monitoring, including application to stress monitoring. Most of monitoring systems are built on supervised learning classification algorithm. These rely collection sensor reference data during phase. One most challenging tasks physiological or pathological is labeling signals collected an experiment. Commonly, different types self-reporting questionnaires used label perceived...
Several factors determine the effectiveness of an early-stage artifact removal algorithm for detection breast cancer using confocal microwave imaging. These include ability to select correct time window containing artifact, remove while being robust normal variances, and effectively preserve tumor response in resultant signal. Very few (if any) existing algorithms incorporate all these qualities. In this letter, a novel hybrid imaging applications is presented, which combines best attributes...
The objective of this study is to determine whether in vitro dielectric properties human trabecular bones, can distinguish between osteoporotic and osteoarthritis patients' bone samples. Specifically enlightens intra-patient variation microarchitecture properties, inter-disease comparison finally establishes the correlation traditional histomorphometry parameter (bone volume fraction) for diseased tissue. Bone cores were obtained from patients (n = 12). These scanned using microCT examine...
One of the most promising alternative imaging modalities for breast cancer detection involved use microwave radar systems.A critical component any radar-based system is early-stage artifact removal algorithm.Many existing algorithms are based on simplifying assumptions about degree commonality in across all channels.However, several real-world clinical scenarios could result greater variation artifact, making process much more difficult.In this study, a range algorithms, coupled with adapted...
The dielectric properties of biological tissues characterise the interaction human with electromagnetic (EM) fields. Accurate knowledge are vital in EM-based therapeutic and diagnostic techniques, for assessing safety wireless devices. Despite importance these properties, field has suffered from inconsistencies reported data. measurement process is known to be affected by both confounders clinical confounders; however, adequate metadata often lacking literature. For this reason, work...
Inaccurate estimation of average dielectric properties can have a tangible impact on microwave radar-based breast images. Despite this, recent patient imaging studies used fixed estimate although this is known to vary from patient. Parameter search algorithms are promising technique for estimating the reconstructed images themselves without additional hardware. In work, qualities accurately identified point spread functions. As similar focused microscopic and photographic images, work...
Multi-frequency symmetry difference electrical impedance tomography (MFSD-EIT) can robustly detect and identify unilateral perturbations in symmetric scenes. Here, an investigation is performed to assess if the algorithm be successfully applied aetiology of stroke with aid machine learning.Anatomically realistic four-layer finite element method models head based on patient images are developed used generate EIT data over a 5 Hz-100 Hz frequency range without bleed clot lesions present....
Microwave Tomography (MWT) imaging is currently being investigated as a new diagnostic modality for assessing bone health conditions. It has already been employed in other medical contexts, showing different advantages (i.e., portability, low cost, and use of non-ionizing radiation) compared to the current modalities. Early investigations MWT have considered without skin layer even numerical investigations. Therefore, this study, realistic three-layer calcaneus-shaped phantom involving an...