A5056396187- Scientific Computing and Data Management
- Distributed and Parallel Computing Systems
- Balance, Gait, and Falls Prevention
- Fault Detection and Control Systems
- Research Data Management Practices
- Cerebral Palsy and Movement Disorders
- Advanced Control Systems Optimization
- Context-Aware Activity Recognition Systems
- Gait Recognition and Analysis
- Service-Oriented Architecture and Web Services
- Cloud Computing and Resource Management
- Mineral Processing and Grinding
- Process Optimization and Integration
- Diabetic Foot Ulcer Assessment and Management
- Computational Drug Discovery Methods
- Spectroscopy and Chemometric Analyses
- Software System Performance and Reliability
- Business Process Modeling and Analysis
- Advanced Database Systems and Queries
- Viral Infectious Diseases and Gene Expression in Insects
- Sleep and related disorders
- Healthcare Systems and Technology
- Telemedicine and Telehealth Implementation
- Big Data and Business Intelligence
- Stroke Rehabilitation and Recovery
Newcastle University
2013-2025
Newcastle upon Tyne Hospitals NHS Foundation Trust
2024
Hexham General Hospital
2000-2002
Universities UK
1997
Abstract Background Although digital mobility outcomes (DMOs) can be readily calculated from real-world data collected with wearable devices and ad-hoc algorithms, technical validation is still required. The aim of this paper to comparatively assess validate DMOs estimated using gait six different cohorts, focusing on sequence detection, foot initial contact detection (ICD), cadence (CAD) stride length (SL) estimates. Methods Twenty healthy older adults, 20 people Parkinson’s disease,...
Abstract This study aimed to validate a wearable device’s walking speed estimation pipeline, considering complexity, speed, and bout duration. The goal was provide recommendations on the use of devices for real-world mobility analysis. Participants with Parkinson’s Disease, Multiple Sclerosis, Proximal Femoral Fracture, Chronic Obstructive Pulmonary Congestive Heart Failure, healthy older adults (n = 97) were monitored in laboratory (2.5 h), using lower back device. Two pipelines validated...
Existing mobility endpoints based on functional performance, physical assessments and patient self-reporting are often affected by lack of sensitivity, limiting their utility in clinical practice. Wearable devices including inertial measurement units (IMUs) can overcome these limitations quantifying digital outcomes (DMOs) both during supervised structured real-world conditions. The validity IMU-based methods the real-world, however, is still limited populations. Rigorous validation...
Abstract Wearable devices are used in movement analysis and physical activity research to extract clinically relevant information about an individual’s mobility. Still, heterogeneity protocols, sensor characteristics, data formats, gold standards represent a barrier for sharing, reproducibility, external validation. In this study, we aim at providing example of how (from the real-world laboratory) recorded from different wearables standard technologies can be organized, integrated, stored....
Background Wrist-worn inertial sensors are used in digital health for evaluating mobility real-world environments. Preceding the estimation of spatiotemporal gait parameters within long-term recordings, detection is an important step to identify regions interest where occurs, which requires robust algorithms due complexity arm movements. While exist other sensor positions, a comparative validation applied wrist position on data sets across different disease populations missing. Furthermore,...
Abstract Market demand places great emphasis in industry on product quality. Consequently, process monitoring and control have become important aspects of systems engineering. In this article we detail the results a 2‐year study focusing development condition system for fed‐batch fermentation operated by Biochemie Gmbh Austria. We also demonstrate suitability limitations current state art technologies field suggest novel modifications configurations to improve their application system. ©...
This paper describes the e-Science Central (e-SC) cloud data processing system and its application to a number of projects. e-SC provides both software as service (SaaS) platform for scientific management, analysis collaboration. It is portable can be deployed on private (e.g. Eucalyptus) public clouds (Amazon AWS Microsoft Windows Azure). The SaaS allows scientists upload data, edit run workflows share results in cloud, using only Web browser. underpinned by scalable consisting set...
Summary One of the foundations science is that researchers must publish methodology used to achieve their results so others can attempt reproduce them. This has added benefit allowing methods be adopted and adapted for other purposes. In field e‐Science, services – often choreographed through workflow, process data generate results. The reproduction not straightforward as computational objects may made available or have been updated since were generated. For example, are fix bugs improve...
Study objectives Normal timing and duration of sleep is vital for all physical mental health. However, many sleep-related studies depend on self-reported measurements, which have limitations. This study aims to investigate the association activity sociodemographic characteristics including age, gender, coffee intake social status with objective measurements. Methods A cross-sectional analysis was carried out 82995 participants within UK Biobank cohort. Sociodemographic lifestyle information...
Short and long sleep durations have adverse effects on physical mental health. However, most studies are based self-reported duration health status. Therefore, this longitudinal study aims to investigate objectively measured subsequent primary care records in older adults the impact of fragmentation health.Data objective were using accelerometry. Primary then obtained from UK Biobank (n=84,404). Participants (mean age, 62.4 years) divided into five groups according their derived...
Introduction The clinical assessment of mobility, and walking specifically, is still mainly based on functional tests that lack ecological validity. Thanks to inertial measurement units (IMUs), gait analysis shifting unsupervised monitoring in naturalistic unconstrained settings. However, the extraction clinically relevant parameters from IMU data often depends heuristics-based algorithms rely empirically determined thresholds. These were validated small cohorts supervised Methods Here, a...
Background Recent technological advances in wearable devices offer new potential for measuring mobility real-world contexts. Mobilise-D has validated digital outcomes to provide novel and end points clinical research of 4 different long-term health conditions (Parkinson disease, multiple sclerosis, chronic obstructive pulmonary proximal femoral fracture). These also unique information that is important patients; however, there limited literature explores the optimal methods achieve this,...
Capturing and exploiting provenance information is considered to be important across a range of scientific, medical, commercial Web applications, including recent trends towards publishing provenance-rich, executable papers. This article shows how the useful questions that can answer greatly increased when it encapsulated into system store execute both current old versions workflows services. e- Science Central provides scalable, secure cloud platform for application developers. They use...
The need for computational resources capable of processing geospatial data has accelerated the uptake web services. Several academic and commercial organizations now offer services provision, coordinate transformation, geocoding several other tasks. These adopt specifications developed by Open Geospatial Consortium (OGC) - leading standardization body Geographic Information Systems. In parallel with efforts OGC, Grid computing community published developing applications. Forum (OGF) is main...
Abstract Scientists face many severe challenges in extracting value from the increasingly large volumes of data they generate. In this paper we describe requirements have derived working across a wide range e‐science projects. particular, CARMEN neuroinformatics project has exposed due to need analyse and share data. We identified four key activities required by scientists with whom work, designed an integrated system—e‐Science Central—to provide them. This exploits three emerging...
Gait is emerging as a powerful tool to detect early disease and monitor progression across number of pathologies. Typically quantitative gait assessment has been limited specialised laboratory facilities. However, measuring in home community settings may provide more accurate reflection performance because: (1) it will not be confounded by attention which heightened during formal testing; (2) allows captured over time. This work addresses the feasibility challenges characteristics with...
Abstract Background: Although digital mobility outcomes (DMOs) can be readily calculated from real-world data collected with wearable devices (WD) and ad-hoc algorithms, technical validation is still required. The aim of this paper to comparatively assess validate DMOs estimated using gait six different cohorts, focusing on sequence detection (GSD), foot initial contact (ICD), cadence (CAD) stride length (SL) estimates. Methods: Twenty healthy older adults, 20 people Parkinson’s disease,...
This study introduces the Data Efficient Separable Transformer (DeSepTr) architecture, a novel framework for Human Activity Recognition (HAR) that utilizes light-weight computer vision model to train Vision (ViT) on spectrograms generated from wearable sensor data. The proposed achieves strong results several HAR tasks, including surface condition recognition and activity recognition. Compared ResNet-18 model, DeSepTr outperforms by 5.9% out-of-distribution test data accuracy enables ViTs...