A5039766483- Parkinson's Disease Mechanisms and Treatments
- Non-Invasive Vital Sign Monitoring
- Physical Activity and Health
- Assistive Technology in Communication and Mobility
- Mobile Health and mHealth Applications
- Context-Aware Activity Recognition Systems
- Obesity, Physical Activity, Diet
- Advanced Sensor Technologies Research
- Motor Control and Adaptation
- Sensor Technology and Measurement Systems
- Neurological disorders and treatments
- Technology Use by Older Adults
- Heart Rate Variability and Autonomic Control
- Muscle activation and electromyography studies
- Balance, Gait, and Falls Prevention
- Ergonomics and Musculoskeletal Disorders
- Diabetic Foot Ulcer Assessment and Management
- Knee injuries and reconstruction techniques
- ECG Monitoring and Analysis
- Health disparities and outcomes
- Innovative Human-Technology Interaction
- Blood Pressure and Hypertension Studies
- Wireless Body Area Networks
- Sports injuries and prevention
- Advanced Optical Network Technologies
University College Cork
2018-2024
Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute
2024
National University of Ireland
2023
Background: Few studies have investigated the validity of mainstream wrist-based activity trackers in healthy older adults real life, as opposed to laboratory settings. Objective: This study explored performance two wrist-worn (Fitbit Charge 2 and Garmin vivosmart HR+) estimating steps, energy expenditure, moderate-to-vigorous physical (MVPA) levels, sleep parameters (total time [TST] wake after onset [WASO]) against gold-standard technologies a cohort free-living environment. Methods:...
Wrist-worn activity trackers have experienced a tremendous growth lately and studies on the accuracy of mainstream used by older adults are needed. This study explores performance six (Fitbit Charge2, Garmin VivoSmart HR+, Philips Health Watch, Withings Pulse Ox, ActiGraph GT9X-BT, Omron HJ-72OITC) for estimating: steps, travelled distance, heart-rate measurements cohort adults. Eighteen completed structured protocol involving walking tasks, simulated household activities, sedentary...
Wearable devices can diagnose, monitor, and manage neurological disorders such as Parkinson disease. With a growing number of wearable devices, it is no longer case whether device measure disease motor symptoms, but rather which features suit the user. Concurrent with continued development, important to generate insights on nuanced needs user in modern era capabilities.This study aims understand views people regarding for monitoring management.This used mixed method parallel design, wherein...
Wearable sensors have recently been extensively used in sports science, physical rehabilitation, and industry providing feedback on fatigue. Information obtained from wearable can be analyzed by predictive analytics methods, such as machine learning algorithms, to determine fatigue during shoulder joint movements, which complex biomechanics. The presented dataset aims provide data collected via a protocol involving dynamic internal rotation (IR) external (ER) movements. Thirty-four healthy...
Anterior cruciate ligament (ACL) injuries are common among athletes. Despite a successful return to sport (RTS) for most of the injured athletes, significant proportion do not competitive levels, and thus RTS post ACL reconstruction still represents challenge clinicians. Wearable sensors, owing their small size low cost, can represent an opportunity management athletes on-the-field after by providing guidance associated In particular, this study aims investigate ability set inertial sensors...
Parkinson's disease is a degenerative neurological disorder that impairs motor functions and accompanied by wide range of non-motor symptoms, such as sleep problems. Parkinsonism assessed during clinical evaluations via self-administered diaries and, based on these, the required medication therapies are provided to lessen symptoms. Tri-axial accelerometers gyroscopes have potential utility objectively assess patient's condition aid clinicians in their decision-making. People with often...
In today's society, the use of watch-based technology is growing steadily and being used in a wide range applications on different aspects user's life, from sport fitness measurement, to entertainment healthcare evaluation. Considering multiple application fields for smartwatch/wristbands their potential adoption precision medicine applications, it thus critical investigate performance accuracy these devices scenarios interest. This study investigated variety commercially available activity...
<sec> <title>BACKGROUND</title> Older adults may use wearable devices for various reasons, ranging from monitoring clinically relevant health metrics or detecting falls to physical activity. Little is known about how this population engages with devices, and no qualitative synthesis exists describe their shared experiences long-term use. </sec> <title>OBJECTIVE</title> This study aims synthesize studies of user experience after a multi-day trial device understand the factors that contribute...
Motor symptoms such as tremor and bradykinesia can develop concurrently in Parkinson's disease; thus, the ideal home monitoring system should be capable of tracking continuously despite background noise from daily activities. The goal this study is to demonstrate feasibility detecting symptom episodes a free-living scenario, providing higher level interpretability aid AI-powered decision-making. Machine learning models trained on wearable sensor data scripted activities performed by...
Abstract Background Wearable technology is increasingly used to diagnose, monitor and manage neurological disorders such as Parkinson’s Disease (PD). This study aims gain information about the views needs of people with (PwP’s) regarding wearable for monitoring disease assisting its management. Methods The employed a mixed methods parallel design, wherein focus-groups questionnaires were concurrently conducted PwP’s in Munster. Questionnaires topic guides developed significant input from...
<sec> <title>BACKGROUND</title> Few studies have investigated the validity of mainstream wrist-based activity trackers in healthy older adults real life, as opposed to laboratory settings. </sec> <title>OBJECTIVE</title> This study explored performance two wrist-worn (Fitbit Charge 2 and Garmin vivosmart HR+) estimating steps, energy expenditure, moderate-to-vigorous physical (MVPA) levels, sleep parameters (total time [TST] wake after onset [WASO]) against gold-standard technologies a...
Abstract Background Wrist-worn activity trackers have experienced a tremendous growth lately. Robust studies of the comparative accuracy currently available, mainstream trackers, in young adults versus older are still scarce literature. This study explores performance ten estimating steps, travelled distance, and heart-rate measurements against gold-standards two cohorts old adults. Methods Overall, 38 subjects completed structured protocol involving walking tasks, simulated household...
<sec> <title>BACKGROUND</title> Wearable devices can diagnose, monitor, and manage neurological disorders such as Parkinson disease. With a growing number of wearable devices, it is no longer case whether device measure disease motor symptoms, but rather which features suit the user. Concurrent with continued development, important to generate insights on nuanced needs user in modern era capabilities. </sec> <title>OBJECTIVE</title> This study aims understand views people regarding for...