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Subject = wearables;
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Displaying Results 1 - 7 of 7 on page 1 of 1
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A domain ontology and software platform for collaborative personal data analytics
(2019)
Tuovinen, Lauri; Smeaton, Alan F.
A domain ontology and software platform for collaborative personal data analytics
(2019)
Tuovinen, Lauri; Smeaton, Alan F.
Abstract:
Collaborative knowledge discovery is a promising approach by which people with no data analytics expertise could benefit from an analysis of their own personal data by experts. To facilitate effective collaboration between data owners and knowledge discovery experts, we have developed a software platform that uses a domain ontology to represent knowledge relevant to the execution of the collaborative knowledge discovery process. The ontology provides classes representing the main elements of collaborations: collaborators and datasets. Furthermore, the ontology enables the specification of privacy constraints that determine the precise extent to which a given dataset of personal data is shared with a given collaborator. We have developed a client-server software platform that enables users to initiate collaborations, invite experts to join them, create datasets and share them with experts, and create visualisations of data. The collaborations are mediated through the creation, modi...
http://doras.dcu.ie/23918/
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A wristwatch-based wireless sensor platform for IoT health monitoring applications
(2020)
Kumar, Sanjeev; Buckley, John L.; Barton, John; Pigeon, Melusine; Newberry, Robert; Rod...
A wristwatch-based wireless sensor platform for IoT health monitoring applications
(2020)
Kumar, Sanjeev; Buckley, John L.; Barton, John; Pigeon, Melusine; Newberry, Robert; Rodencal, Matthew; Hajzeraj, Adhurim; Hannon, Tim; Rogers, Ken; Casey, Declan; O'Sullivan, Donal; O'Flynn, Brendan
Abstract:
A wristwatch-based wireless sensor platform for IoT wearable health monitoring applications is presented. The paper describes the platform in detail, with a particular focus given to the design of a novel and compact wireless sub-system for 868 MHz wristwatch applications. An example application using the developed platform is discussed for arterial oxygen saturation (SpO2) and heart rate measurement using optical photoplethysmography (PPG). A comparison of the wireless performance in the 868 MHz and the 2.45 GHz bands is performed. Another contribution of this work is the development of a highly integrated 868 MHz antenna. The antenna structure is printed on the surface of a wristwatch enclosure using laser direct structuring (LDS) technology. At 868 MHz, a low specific absorption rate (SAR) of less than 0.1% of the maximum permissible limit in the simulation is demonstrated. The measured on-body prototype antenna exhibits a −10 dB impedance bandwidth of 36 MHz, a peak realized gai...
http://hdl.handle.net/10468/9785
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Clusters of adolescent physical activity tracker patterns and their associations with physical activity behaviors in Finland and Ireland:cross-sectional study
(2020)
Ng, Kwok W.; Kokko, Sami; Tammelin, Tuija; Kallio, Jouni; Belton, Sarahjane; O'Bri...
Clusters of adolescent physical activity tracker patterns and their associations with physical activity behaviors in Finland and Ireland:cross-sectional study
(2020)
Ng, Kwok W.; Kokko, Sami; Tammelin, Tuija; Kallio, Jouni; Belton, Sarahjane; O'Brien, Wesley; Murphy, Marie; Powell, Cormac; Woods, Catherine B.
Abstract:
Background: Physical activity trackers (PATs) such as apps and wearable devices (eg, sports watches, heart rate monitors) are increasingly being used by young adolescents. Despite the potential of PATs to help monitor and improve moderate-to-vigorous physical activity (MVPA) behaviors, there is a lack of research that confirms an association between PAT ownership or use and physical activity behaviors at the population level. Objective: The purpose of this study was to examine the ownership and use of PATs in youth and their associations with physical activity behaviors, including daily MVPA, sports club membership, and active travel, in 2 nationally representative samples of young adolescent males and females in Finland and Ireland. Methods: Comparable data were gathered in the 2018 Finnish School-aged Physical Activity (F-SPA 2018, n=3311) and the 2018 Irish Children’s Sport Participation and Physical Activity (CSPPA 2018, n=4797) studies. A cluster analysis was perform...
http://hdl.handle.net/10344/9206
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Metrics for monitoring patients progress in a rehabilitation context: a case study based on wearable inertial sensors
(2018)
O'Flynn, Brendan; Dagini, Nektaria; Bottone, Sonia; Urru, Andrea; Tedesco, Salvatore
Metrics for monitoring patients progress in a rehabilitation context: a case study based on wearable inertial sensors
(2018)
O'Flynn, Brendan; Dagini, Nektaria; Bottone, Sonia; Urru, Andrea; Tedesco, Salvatore
Abstract:
Inertial data can represent a rich source of clinically relevant information which can provide details on motor assessment in subjects undertaking a rehabilitation process. Indeed, in clinical and sport settings, motor assessment is generally conducted through simple subjective measures such as a visual assessment or questionnaire given by caregivers. As part of a mobile health application, wireless sensors such as inertial measurement units and associated data sets can help provide an objective and empirical measure of a patient’s progress through rehabilitation using on body sensors. In this publication, several metrics in different domains have been considered and extrapolated from the 3D accelerometer and angular rate data sets collected on an impaired subject with knee injury, via a wearable sensing system developed at the Tyndall National Institute. These data sets were collected for different activities performed across a number of sessions as the subject progressed through t...
http://hdl.handle.net/10468/7272
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Not All Sensors are Created Equal: A Framework for Evaluating Human Performance Measurement technologies
(2019)
Caulfield, Brian; Reginatto, Brenda; Slevin, Patrick
Not All Sensors are Created Equal: A Framework for Evaluating Human Performance Measurement technologies
(2019)
Caulfield, Brian; Reginatto, Brenda; Slevin, Patrick
Abstract:
Recent years have witnessed an explosion in the number of wearable sensing devices and associated apps that target a wide range of biomedical metrics, from actigraphy to glucose monitoring to lung function. This offers big opportunities for achieving scale in the use of such devices in application contexts such as telehealth, human performance and behaviour research and digitally enabled clinical trials. However, this increased availability and choice of sensors also brings with it a great challenge in optimising the match between the sensor and a specific application context. There is a need for a structured approach to first refining the requirements for a specific application, and then evaluating the available devices against those requirements. In this paper we will outline the main features of such an evaluation framework that has been developed with input from stakeholders in academic, clinical and industry settings.
Enterprise Ireland
Insight Research Centre
Irish...
http://hdl.handle.net/10197/9752
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The quantified athlete: associations of wearables for high school athletes
(2018)
Ng, Kwok W.; Ryba, Tatiana
The quantified athlete: associations of wearables for high school athletes
(2018)
Ng, Kwok W.; Ryba, Tatiana
Abstract:
The adoption of wearable technology in competitive sports can be an advantage to performance and training. Athletes who use personalised data to quantify their performances with the possibilities of sharing with others may use wearables to reinforce the athletic identity. Despite these changes, few studies have actually examined the associations between wearables and developing athletes in their quest for professional sports. Student athletes (n = 437, age = 17y) still in high schools completed a web-based survey about their professional aspirations, athletic identity, and the association with wearables. Wearables were measured by ownership and usage of apps, fitness trackers, or sports watches. Odds ratio (OR) and 95% confidence intervals (CI) were reported.Most high school athletes had apps (64.3%) or fitness trackers (65.2%) and over half of the athletes (58%) had aspirations for professional sport. Athletic identity was positively associated with ownership and usage of apps and ...
http://hdl.handle.net/10344/7222
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Towards fully instrumented and automated assessment of motor function tests
(2019)
De Luca, Valeria; Muaremi, Amir; Giggins, Oonagh M.
Towards fully instrumented and automated assessment of motor function tests
(2019)
De Luca, Valeria; Muaremi, Amir; Giggins, Oonagh M.
Abstract:
2018 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI), Nevada, United States of America, 4-7 March
Quantitative assessment of mobility and motor function is critical to our understanding and treatment of musculoskeletal and neurological diseases. Instrumented tests augment traditional approaches by moving from a single, often subjective, performance metric to multiple objective measures. In this study, we investigated ways of automatically capturing motor performance by leveraging data from a network of six wearable sensors worn at five different locations by 17 healthy volunteers while performing a battery of motor function tests. We developed a framework to segment motor tasks, e.g. walking and standing up, from 3D acceleration and angular velocity data, and extracted features. Results were compared to clinical test scores and manual annotations of the data. For the best performing sensors, we achieved a rate of correct classification of 82 to 10...
http://hdl.handle.net/10197/9713
Displaying Results 1 - 7 of 7 on page 1 of 1
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Dublin City University (1)
University College Cork (2)
University College Dublin (2)
University of Limerick (2)
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Journal article (5)
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Peer-reviewed (4)
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