A5035842420- Geophysical Methods and Applications
- Microwave Imaging and Scattering Analysis
- Advanced SAR Imaging Techniques
- Silicon and Solar Cell Technologies
- Digital Mental Health Interventions
- Emergency and Acute Care Studies
- Parallel Computing and Optimization Techniques
- ECG Monitoring and Analysis
- Healthcare Technology and Patient Monitoring
- Anomaly Detection Techniques and Applications
- Mobile Health and mHealth Applications
- Neurological disorders and treatments
- Sepsis Diagnosis and Treatment
- Electronic Health Records Systems
- Biometric Identification and Security
- Telemedicine and Telehealth Implementation
- Botulinum Toxin and Related Neurological Disorders
- Advanced Data Storage Technologies
- Parkinson's Disease Mechanisms and Treatments
- Machine Learning in Healthcare
- Cardiac electrophysiology and arrhythmias
- Radiomics and Machine Learning in Medical Imaging
- Non-Invasive Vital Sign Monitoring
- Time Series Analysis and Forecasting
- Hemodynamic Monitoring and Therapy
University of Leeds
2017-2025
University of Manchester
2019-2024
University of Toronto
2023-2024
Manchester Academic Health Science Centre
2019-2024
Environmental Protection Agency
2015-2024
University College London
2023
Tianjin Medical University Eye Hospital
2023
Moorfields Eye Hospital
2023
Tianjin Medical University
2023
Inserm
2023
To validate whether a wearable remote vital signs monitor could accurately measure heart rate (HR), respiratory (RR) and temperature in postsurgical patient population at high risk of complications.Manually recorded data were paired with derived from the set patients participating Trial Remote versus Continuous INtermittent monitoring (TRaCINg) study: trial continuous monitoring.St James's University Hospital, UK.51 who had undergone major elective general surgery.The intervention was...
Clinical governance of medical mobile apps is challenging, and there currently no standard method for assessing the quality such apps. In 2018, National Institute Health Care Excellence (NICE) developed a framework required level evidence digital health technologies (DHTs), as determined by their clinical function. The can potentially be used to assess apps, which are subset DHTs. To reliably in this context, must allow unambiguous classification an app's function.The objective study was...
Bradykinesia is considered the fundamental motor feature of Parkinson's disease (PD). It central to diagnosis, monitoring, and research outcomes. However, as a clinical sign determined purely by visual judgement, reliability humans detect measure bradykinesia remains unclear.To establish interrater for expert neurologists assessing during finger tapping test, without cues from additional examination or history.21 movement disorder rated bradykinesia, Unified Disease Rating Scale (MDS-UPDRS)...
The Army Research Laboratory (ARL) has designed and fabricated a forward-looking, impulse-based, ultra-wideband (UWB) imaging radar for detection of concealed targets. This system employs physical array 16 receive antennas to provide the necessary aperture sufficient cross-range resolution in forward-looking geometry. Each antenna feeds base-band receiver/digitizer that integrates data from number pulses before passing it on personal computer (PC) based operator's console display. innovative...
Mobile apps have become a convenient way to provide health information and communication services directly in the hands of clinicians consumers. Apps can be used support consumers variety tasks manage chronic diseases, lifestyle changes self-diagnosis. For
Sparsity-assisted signal decomposition (SASD) based on morphological component analysis (MCA) for bearing fault diagnosis has been studied in-depth. However, existing algorithms often use different combinations of representation dictionaries and priors, leading to difficult dictionary choice high computational complexity. This article aims develop a fast sparsity-assisted algorithm decompose vibration into discrete frequency impulse components diagnosis. We introduce the discrimination in...
Importance Neurological examinations traditionally rely on visual analysis of physical clinical signs, such as tremor, ataxia, or nystagmus. Contemporary score-based assessments aim to standardize and quantify these observations, but tools suffer from clinimetric limitations often fail capture subtle yet important aspects human movement. This poses a significant roadblock more precise personalized neurological care, which increasingly focuses early stages disease. Computer vision, branch...
Devices that record single-lead ECGs, such as smartwatches and handheld ECG recorders, hold promise for detecting undiagnosed atrial fibrillation (AF). Accurately extracting RR-intervals from telehealth ECGs is key heart rhythm assessment. The aim of this study was to develop an algorithm extract assess whether the extracted are accurate therefore suitable analysis. Two datasets 30-second were used: TELE Database (250 ECGs) SAFER dataset (479 ECGs). One three highperformance primary QRS...
This study analyzes the two-person, Gronau-type neoclassical model of household where time use for each person is divided into three basic activities-market work, home production, and pure leisure-plus work related travel time. The latter treated as predetermined. One contribution this paper that economics Gronau made clear a complete comparative static analysis provided. A second subjected to rigorous empirical test using data permits division its four primary components-most sets do not...
A platform that supported Sequential Consistency (SC) for all codes --- not only the well-synchronized ones would simplify task of programmers. Recently, several hardware architectures support high-performance SC by committing groups instructions at a time have been proposed. However, to SC, it is insufficient does; compiler has as well.
We consider an integrated patient monitoring system, combining electronic records with high-rate acquisition of physiological data. There remain many challenges in increasing the robustness "e-health" applications to a level at which they are clinically useful, particularly use automated algorithms used detect and cope artifact data contained within record, analyzing communicating resultant for reporting clinicians. is consequential "plague pilots," engineering prototype systems do not enter...
Abstract Objective: To investigate time differences in recording observations and an early warning score using traditional paper charts a novel e-Obs system clinical practice. Methods: Researchers observed the process of scores across 3 wards 2 university teaching hospitals immediately before after introduction system. The included both measurement documentation vital signs. Interruptions were timed subtracted from measured duration. Multilevel modeling was used to compensate for potential...