Dimitrios Megaritis
A5024513393- Chronic Obstructive Pulmonary Disease (COPD) Research
- Balance, Gait, and Falls Prevention
- Cerebral Palsy and Movement Disorders
- Respiratory Support and Mechanisms
- Cardiovascular and exercise physiology
- Long-Term Effects of COVID-19
- Diabetic Foot Ulcer Assessment and Management
- Gait Recognition and Analysis
- Stroke Rehabilitation and Recovery
- Telemedicine and Telehealth Implementation
- Chronic Disease Management Strategies
- COVID-19 and Mental Health
- Heart Rate Variability and Autonomic Control
- Context-Aware Activity Recognition Systems
- Healthcare Systems and Technology
- Health and Well-being Studies
- Muscle activation and electromyography studies
- Health and Wellbeing Research
- Hip and Femur Fractures
- Fibromyalgia and Chronic Fatigue Syndrome Research
- Delphi Technique in Research
- Physical Activity and Health
- Cardiovascular Function and Risk Factors
- Assistive Technology in Communication and Mobility
- Frailty in Older Adults
Northumbria University
2020-2025
University Hospital of Bern
2024
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...
Background The development of optimal strategies to treat impaired mobility related ageing and chronic disease requires better ways detect measure it. Digital health technology, including body worn sensors, has the potential directly accurately capture real-world mobility. Mobilise-D consists 34 partners from 13 countries who are working together jointly develop implement a digital assessment solution demonstrate that outcomes have provide better, safer, quicker way assess, monitor, predict...
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,...
Post-COVID syndrome involves prolonged symptoms with multi-system and functional impairment lasting at least 12 weeks after acute COVID-19. We aimed to determine the efficacy of exercise-based rehabilitation interventions, either face-to-face or remote, compared usual care in individuals experiencing following a hospitalisation This single-blind randomised controlled trial two COVID interventions (face-to-face remote) participants hospitalisation. The were remote eight-week program...
Abstract Introduction Many adults hospitalised with COVID-19 have persistent symptoms such as fatigue, breathlessness and brain fog that limit day-to-day activities. These can last over 2 years. Whilst there is limited controlled studies on interventions support those ongoing symptoms, has been some promise in rehabilitation improving function either using face-to-face or digital methods, but evidence remains these often lack a control group. Methods analysis This nested single-blind,...
The L-test is a performance-based measure to assess balance and mobility. Currently, the primary outcome from this test time required finish it. In study we present instrumented (iL-test), an wherein mobility evaluated by means of wearable inertial sensor worn at lower back. We analyzed data 113 people across seven cohorts: healthy adults, chronic obstructive pulmonary disease, multiple sclerosis, congestive heart failure, Parkinson's proximal femoral fracture, transfemoral amputation....
Background Gait characteristics are important risk factors for falls, hospitalisations and mortality in older adults, but the impact of COPD on gait performance remains unclear. We aimed to identify differences between adults with healthy age-matched controls during 1) laboratory tests that included complex movements obstacles, 2) simulated daily-life activities (supervised) 3) free-living (unsupervised). Methods This case–control study used a multi-sensor wearable system (INDIP) obtain...
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...
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,...
We investigated the effect of inspiratory muscle training (IMT) on strength, functional capacity and respiratory kinematics during exercise in healthy older adults.
Abstract Background: Estimation of walking speed from wearable devices requires combining a set algorithms in single analytical pipeline. The aim this study was to validate pipeline for estimation and assess its performance across different factors (complexity, speed, bout duration) make recommendations on the use validity real-world mobility analysis. Methods: Participants with Parkinson's Disease, Multiple Sclerosis, Proximal Femoral Fracture, Chronic Obstructive Pulmonary Congestive Heart...
Measuring respiratory and locomotor muscle blood flow during exercise is pivotal for understanding the factors limiting tolerance in health disease. Traditional methods to measure present limitations testing. This article reviews a method utilising near-infrared spectroscopy (NIRS) combination with light-absorbing tracer indocyanine green dye (ICG) simultaneously assess NIRS provides high spatiotemporal resolution can detect chromophore concentrations. Intravenously administered ICG binds...
Disability and loss of function are acknowledged as important problems for people living with COPD, but there is a need validated tools to assess them.