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Jérôme Idier - IEEE Xplore Author Profile
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Jérôme Idier

Also published under: J. Idier, Jérome Idier, JÉrÔme Idier, Jerome Idier, Jérôome Idier

Publications
120
Citations
2,174
Publications by Year
19902024
Co-Authors:
Show All Co-Authors (131)
Image of author Jérôme Idier

Jérôme Idier

Also published under: J. Idier, Jérome Idier, JÉrÔme Idier, Jerome Idier, Jérôome Idier

Affiliation

Nantes Université
Ecole Centrale Nantes
CNRS, LS2N, UMR 6004, Nantes, France

Publication Topics

Biography

Jérôme Idier (Member, IEEE) was born in France in 1966. He received the Diploma degree in electrical engineering from École Supérieure d’Électricité, Gif-sur-Yvette, France, in 1988, and the Ph.D. degree in physics from the University of Paris-Sud, Orsay, France, in 1991.,In 1991, he joined Centre National de la Recherche Scientifique, Paris, France. He is currently a Senior Researcher with the Laboratory of Digital Sciences of Nantes, Nantes, France. His major scientific interests include inverse problems for signal and image processing, and computational imaging.(Based on document published on 27 April 2020).
Publications
120
Citations
2,174
Publications by Year
19902024
Co-Authors:
Show All Co-Authors (131)
Author's Published Works

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Automated Multicohort Mobility Assessment With an Instrumented L-Test (iL-test)

Jose Albites-Sanabria;Pierpaolo Palumbo;Ilaria D’Ascanio;Tecla Bonci;Marco Caruso;Francesca Salis;Andrea Cereatti;Silvia Del Din;Lisa Alcock;Arne Kuederle;Anisoara Paraschiv-Ionescu;Eran Gazit;Felix Kluge;Cameron Kirk;M. Encarna Micó-Amigo;Kirsty Scott;Clint Hansen;Jochen Klenk;Lars Schwickert;Dimitrios Megaritis;Ioannis Vogiatzis;Clemens Becker;Walter Maetzler;Jeffrey M. Hausdorff;Brian Caulfield;Beatrix Vereijken;Lynn Rochester;Arne Muller;Claudia Mazzà;Ilaria Carpinella;Thomas Bowman;Roberta De Ciechi;Alessandro Torchio;Davide Cattaneo;Simona Bianchi;Maurizio Ferrarin;Pericle Randi;Lucrezia Piraccini;Angelo Davalli;Lorenzo Chiari;Luca Palmerini

IEEE Transactions on Neural Systems and Rehabilitation Engineering
Year: 2025 | Volume: 33 | Journal Article |
The L-test is a performance-based measure to assess balance and mobility. Currently, the primary outcome from this test is the time required to finish it. In this study we present the instrumented L-test (iL-test), an L-test wherein mobility is evaluated by means of a wearable inertial sensor worn at the lower back. We analyzed data from 113 people across seven cohorts: healthy adults, chronic obs...Show More

Automated Multicohort Mobility Assessment With an Instrumented L-Test (iL-test)

Jose Albites-Sanabria;Pierpaolo Palumbo;Ilaria D’Ascanio;Tecla Bonci;Marco Caruso;Francesca Salis;Andrea Cereatti;Silvia Del Din;Lisa Alcock;Arne Kuederle;Anisoara Paraschiv-Ionescu;Eran Gazit;Felix Kluge;Cameron Kirk;M. Encarna Micó-Amigo;Kirsty Scott;Clint Hansen;Jochen Klenk;Lars Schwickert;Dimitrios Megaritis;Ioannis Vogiatzis;Clemens Becker;Walter Maetzler;Jeffrey M. Hausdorff;Brian Caulfield;Beatrix Vereijken;Lynn Rochester;Arne Muller;Claudia Mazzà;Ilaria Carpinella;Thomas Bowman;Roberta De Ciechi;Alessandro Torchio;Davide Cattaneo;Simona Bianchi;Maurizio Ferrarin;Pericle Randi;Lucrezia Piraccini;Angelo Davalli;Lorenzo Chiari;Luca Palmerini

Year: 2025 | Volume: 33 | Journal Article |

Discriminating Between Indoor and Outdoor Environments During Daily Living Activities Using Local Magnetic Field Characteristics and Machine Learning Techniques

Vincenzo Marcianò;Andrea Cereatti;Stefano Bertuletti;Tecla Bonci;Lisa Alcock;Eran Gazit;Neil Ireson;Antonio Bevilacqua;Claudia Mazzà;Fabio Ciravegna;Silvia Del Din;Jeffrey M. Hausdorff;Georgiana Ifrim;Brian Caulfield;Marco Caruso

IEEE Sensors Journal
Year: 2025 | Volume: 25, Issue: 1 | Journal Article |
Cited by: Papers (1)
Wearable technology has rapidly advanced, opening new possibilities for context-aware applications in fields such as healthcare and gait analysis, where distinguishing between indoor and outdoor environments is essential. This is often accomplished through technologies like GPS, Wi-Fi, cellular, and Bluetooth which, however, come with privacy concerns, high power consumption, and dependency on ext...Show More

Discriminating Between Indoor and Outdoor Environments During Daily Living Activities Using Local Magnetic Field Characteristics and Machine Learning Techniques

Vincenzo Marcianò;Andrea Cereatti;Stefano Bertuletti;Tecla Bonci;Lisa Alcock;Eran Gazit;Neil Ireson;Antonio Bevilacqua;Claudia Mazzà;Fabio Ciravegna;Silvia Del Din;Jeffrey M. Hausdorff;Georgiana Ifrim;Brian Caulfield;Marco Caruso

Year: 2025 | Volume: 25, Issue: 1 | Journal Article |

Towards Globalised Models for Exercise Classification using Inertial Measurement Units

Bahavathy Kathirgamanathan;Brian Caulfield;Pádraig Cunningham

2023 IEEE 19th International Conference on Body Sensor Networks (BSN)
Year: 2023 | Conference Paper |
Cited by: Papers (1)
Wearable sensors are becoming a popular method of objectively evaluating motor performance in various exercise tasks. A challenge in working with this motion capture data is the personalised nature of the data where one individual’s data may be different to that of others due to factors such as differences in exercise form. Hence global models generally perform poorly in this domain. The aim of th...Show More

Towards Globalised Models for Exercise Classification using Inertial Measurement Units

Bahavathy Kathirgamanathan;Brian Caulfield;Pádraig Cunningham

Year: 2023 | Conference Paper |

Quantifying Jump Height Using Markerless Motion Capture with a Single Smartphone

Timilehin B. Aderinola;Hananeh Younesian;Darragh Whelan;Brian Caulfield;Georgiana Ifrim

IEEE Open Journal of Engineering in Medicine and Biology
Year: 2023 | Volume: 4 | Journal Article |
Cited by: Papers (4)
Goal: The countermovement jump (CMJ) is commonly used to measure lower-body explosive power. This study evaluates how accurately markerless motion capture (MMC) with a single smartphone can measure bilateral and unilateral CMJ jump height. Methods: First, three repetitions each of bilateral and unilateral CMJ were performed by sixteen healthy adults (mean age: 30.87 $\pm$ 7.24 years; mean BMI: 23....Show More

Quantifying Jump Height Using Markerless Motion Capture with a Single Smartphone

Timilehin B. Aderinola;Hananeh Younesian;Darragh Whelan;Brian Caulfield;Georgiana Ifrim

Year: 2023 | Volume: 4 | Journal Article |

An Automatic Foot and Shank IMU Synchronization Algorithm: Proof-of-concept

Shaban Shabani;Alan K. Bourke;Amir Muaremi;Jens Praestgaard;Kate O'Keeffe;Rob Argent;Martin Brom;Celeste Scotti;Brian Caulfield;Lorcan C. Walsh

2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
Year: 2022 | Conference Paper |
Cited by: Papers (4)
When using wearable sensors for measurement and analysis of human performance, it is often necessary to integrate and synchronise data from separate sensor systems. This paper describes a synchronization technique between IMUs attached to the shanks and insoles attached at the feet and aims to solve the need to compute the ankle joint angle, which relies on synchronized sensor data. This will addi...Show More

An Automatic Foot and Shank IMU Synchronization Algorithm: Proof-of-concept

Shaban Shabani;Alan K. Bourke;Amir Muaremi;Jens Praestgaard;Kate O'Keeffe;Rob Argent;Martin Brom;Celeste Scotti;Brian Caulfield;Lorcan C. Walsh

Year: 2022 | Conference Paper |

Test-retest reliability of wireless inertial-sensor derived measurements of knee joint kinematics

Kate O'Keeffe;Rob Argent;Alan Bourke;Shaban Shabani;Jens Praestgaard;Amir Muaremi;Cathy Goulding;Martin Brom;Celeste Scotti;Lorcan C. Walsh;Brian Caulfield

2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
Year: 2022 | Conference Paper |
Cited by: Papers (1)
Advances in sensor technology have provided an opportunity to measure gait characteristics using body-worn inertial measurement units (IMUs). Whilst research investigating the validity of IMUs in reporting gait characteristics is extensive, research investigating the reliability of IMUs is limited. This study aimed to investigate the inter-session reliability of wireless IMU derived measures of ga...Show More

Test-retest reliability of wireless inertial-sensor derived measurements of knee joint kinematics

Kate O'Keeffe;Rob Argent;Alan Bourke;Shaban Shabani;Jens Praestgaard;Amir Muaremi;Cathy Goulding;Martin Brom;Celeste Scotti;Lorcan C. Walsh;Brian Caulfield

Year: 2022 | Conference Paper |

Development of Data-Driven Metrics for Balance Impairment and Fall Risk Assessment in Older Adults

Killian McManus;Barry R. Greene;Lilian Genaro Motti Ader;Brian Caulfield

IEEE Transactions on Biomedical Engineering
Year: 2022 | Volume: 69, Issue: 7 | Journal Article |
Cited by: Papers (16)
Ageing incurs a natural decline of postural control which has been linked to an increased risk of falling. Accurate balance assessment is important in identifying postural instability and informing targeted interventions to prevent falls in older adults. Inertial sensor (IMU) technology offers a low-cost means for objective quantification of human movement. This paper describes two studies carried...Show More

Development of Data-Driven Metrics for Balance Impairment and Fall Risk Assessment in Older Adults

Killian McManus;Barry R. Greene;Lilian Genaro Motti Ader;Brian Caulfield

Year: 2022 | Volume: 69, Issue: 7 | Journal Article |

Academic Performance Prediction Based on Multisource, Multifeature Behavioral Data

Liang Zhao;Kun Chen;Jie Song;Xiaoliang Zhu;Jianwen Sun;Brian Caulfield;Brian Mac Namee

IEEE Access
Year: 2021 | Volume: 9 | Journal Article |
Cited by: Papers (33)
Digital data trails from disparate sources covering different aspects of student life are stored daily in most modern university campuses. However, it remains challenging to (i) combine these data to obtain a holistic view of a student, (ii) use these data to accurately predict academic performance, and (iii) use such predictions to promote positive student engagement with the university. To initi...Show More

Academic Performance Prediction Based on Multisource, Multifeature Behavioral Data

Liang Zhao;Kun Chen;Jie Song;Xiaoliang Zhu;Jianwen Sun;Brian Caulfield;Brian Mac Namee

Year: 2021 | Volume: 9 | Journal Article |

Human Movement Analysis: Introduction to Motion Capture and Applications for Health

Lilian Genaro Motti Ader;Alison Keogh;Killian McManus;Barry R. Greene;Brian Caulfield

2020 IEEE International Conference on Healthcare Informatics (ICHI)
Year: 2020 | Conference Paper |
Cited by: Papers (2)
This tutorial presents an overview of the process of human movement analysis, from data capture to analysis and interpretation, for health-related applications. Key concepts will be presented including principles of human anatomy and biomechanics, a state-of-the-art on technologies for motion data acquisition (e.g. body-worn sensors, optical motion capture), and practical examples of data analysis...Show More

Human Movement Analysis: Introduction to Motion Capture and Applications for Health

Lilian Genaro Motti Ader;Alison Keogh;Killian McManus;Barry R. Greene;Brian Caulfield

Year: 2020 | Conference Paper |

Quantifying Y Balance Test performance with multiple and single inertial sensors

William Johnston;James Davenport;Rachelle Connelly;Brian Caulfield

2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
Year: 2020 | Conference Paper |
A growing body of evidence has highlighted that inertial sensor data can increase the sensitivity and clinical utility of the Y Balance Test, a commonly used clinical dynamic balance assessment. While early work has demonstrated the value of a single lumbar worn inertial sensor in quantifying dynamic balance control, no research has investigated if alternative (shank) or combined (lumbar and shank...Show More

Quantifying Y Balance Test performance with multiple and single inertial sensors

William Johnston;James Davenport;Rachelle Connelly;Brian Caulfield

Year: 2020 | Conference Paper |

Can mHealth Technology Help Mitigate the Effects of the COVID-19 Pandemic?

Catherine P. Adans-Dester;Stacy Bamberg;Francesco P. Bertacchi;Brian Caulfield;Kara Chappie;Danilo Demarchi;M. Kelley Erb;Juan Estrada;Eric E. Fabara;Michael Freni;Karl E. Friedl;Roozbeh Ghaffari;Geoffrey Gill;Mark S. Greenberg;Reed W. Hoyt;Emil Jovanov;Christoph M. Kanzler;Dina Katabi;Meredith Kernan;Colleen Kigin;Sunghoon I. Lee;Steffen Leonhardt;Nigel H. Lovell;Jose Mantilla;Thomas H. McCoy;Nell Meosky Luo;Glenn A. Miller;John Moore;Derek O'Keeffe;Jeffrey Palmer;Federico Parisi;Shyamal Patel;Jack Po;Benito L. Pugliese;Thomas Quatieri;Tauhidur Rahman;Nathan Ramasarma;John A. Rogers;Guillermo U. Ruiz-Esparza;Stefano Sapienza;Gregory Schiurring;Lee Schwamm;Hadi Shafiee;Sara Kelly Silacci;Nathaniel M Sims;Tanya Talkar;William J. Tharion;James A. Toombs;Christopher Uschnig;Gloria P. Vergara-Diaz;Paul Wacnik;May D. Wang;James Welch;Lina Williamson;Ross Zafonte;Adrian Zai;Yuan-Ting Zhang;Guillermo J. Tearney;Rushdy Ahmad;David R. Walt;Paolo Bonato

IEEE Open Journal of Engineering in Medicine and Biology
Year: 2020 | Volume: 1 | Journal Article |
Cited by: Papers (70)
Goal: The aim of the study herein reported was to review mobile health (mHealth) technologies and explore their use to monitor and mitigate the effects of the COVID-19 pandemic. Methods: A Task Force was assembled by recruiting individuals with expertise in electronic Patient-Reported Outcomes (ePRO), wearable sensors, and digital contact tracing technologies. Its members collected and discussed a...Show More

Can mHealth Technology Help Mitigate the Effects of the COVID-19 Pandemic?

Catherine P. Adans-Dester;Stacy Bamberg;Francesco P. Bertacchi;Brian Caulfield;Kara Chappie;Danilo Demarchi;M. Kelley Erb;Juan Estrada;Eric E. Fabara;Michael Freni;Karl E. Friedl;Roozbeh Ghaffari;Geoffrey Gill;Mark S. Greenberg;Reed W. Hoyt;Emil Jovanov;Christoph M. Kanzler;Dina Katabi;Meredith Kernan;Colleen Kigin;Sunghoon I. Lee;Steffen Leonhardt;Nigel H. Lovell;Jose Mantilla;Thomas H. McCoy;Nell Meosky Luo;Glenn A. Miller;John Moore;Derek O'Keeffe;Jeffrey Palmer;Federico Parisi;Shyamal Patel;Jack Po;Benito L. Pugliese;Thomas Quatieri;Tauhidur Rahman;Nathan Ramasarma;John A. Rogers;Guillermo U. Ruiz-Esparza;Stefano Sapienza;Gregory Schiurring;Lee Schwamm;Hadi Shafiee;Sara Kelly Silacci;Nathaniel M Sims;Tanya Talkar;William J. Tharion;James A. Toombs;Christopher Uschnig;Gloria P. Vergara-Diaz;Paul Wacnik;May D. Wang;James Welch;Lina Williamson;Ross Zafonte;Adrian Zai;Yuan-Ting Zhang;Guillermo J. Tearney;Rushdy Ahmad;David R. Walt;Paolo Bonato

Year: 2020 | Volume: 1 | Journal Article |

Personalization in Real-Time Physical Activity Coaching Using Mobile Applications: A Scoping Review

Francisco Monteiro-Guerra;Octavio Rivera-Romero;Luis Fernandez-Luque;Brian Caulfield

IEEE Journal of Biomedical and Health Informatics
Year: 2020 | Volume: 24, Issue: 6 | Journal Article |
Cited by: Papers (53)
Mobile monitoring for health and wellness is becoming more sophisticated and accurate, with an increased use of real-time personalization technologies that may improve the effectiveness of physical activity coaching systems. This study aimed to review real-time physical activity coaching applications that make use of personalization mechanisms. A scoping review, using the PRISMA-ScR checklist, was...Show More

Personalization in Real-Time Physical Activity Coaching Using Mobile Applications: A Scoping Review

Francisco Monteiro-Guerra;Octavio Rivera-Romero;Luis Fernandez-Luque;Brian Caulfield

Year: 2020 | Volume: 24, Issue: 6 | Journal Article |

Capturing concussion related changes in dynamic balance using the Quantified Y Balance Test – a case series of six elite rugby union players

William Johnston;Martin O’Reilly;Mairead Liston;Rod McLoughlin;Garrett F Coughlan;Brian Caulfield

2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
Year: 2019 | Conference Paper |
Cited by: Papers (2)
Concussion is one of the most common injuries reported across a myriad of sports. Recent evidence suggests that individuals may possess sensorimotor deficits beyond clinical recovery, predisposing them to further injury. This preliminary prospective case series aimed to determine if an inertial sensor instrumented Y balance test can capture changes in dynamic balance, regardless of apparent `clini...Show More

Capturing concussion related changes in dynamic balance using the Quantified Y Balance Test – a case series of six elite rugby union players

William Johnston;Martin O’Reilly;Mairead Liston;Rod McLoughlin;Garrett F Coughlan;Brian Caulfield

Year: 2019 | Conference Paper |

Rehabilitation Exercise Segmentation for Autonomous Biofeedback Systems with ConvFSM

Antonio Bevilacqua;Louise Brennan;Rob Argent;Brian Caulfield;Tahar Kechadi

2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
Year: 2019 | Conference Paper |
Cited by: Papers (4)
Segmenting physical movements is a key step for any accelerometry-based autonomous biofeedback system oriented to rehabilitation and physiotherapy activities. Fundamentally, this can be reduced to the detection of recurrent patterns, also called motion primitives, in longer inertial signals. Most of the solutions developed in the literature require extensive domain knowledge, or are incapable of s...Show More

Rehabilitation Exercise Segmentation for Autonomous Biofeedback Systems with ConvFSM

Antonio Bevilacqua;Louise Brennan;Rob Argent;Brian Caulfield;Tahar Kechadi

Year: 2019 | Conference Paper |

Impact of Exercise Intervention in Parkinson’s Disease can be Quantified Using Inertial Sensor Data and Clinical Tests

Killian McManus;Denise McGrath;Barry R. Greene;Olive Lennon;Laura McMahon;Brian Caulfield

2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
Year: 2019 | Conference Paper |
Cited by: Papers (6)
Parkinson's Disease (PD) has the second-highest prevalence rate of all neurodegenerative disorders. It effects approximately 1% of the population over the age of 60, with this proportion rising further, in more elderly cohorts. PD manifests as several motor and non-motor disfunctions, which develop progressively over time. Gait and mobility problems are amongst the most debilitating symptoms for p...Show More

Impact of Exercise Intervention in Parkinson’s Disease can be Quantified Using Inertial Sensor Data and Clinical Tests

Killian McManus;Denise McGrath;Barry R. Greene;Olive Lennon;Laura McMahon;Brian Caulfield

Year: 2019 | Conference Paper |

Investigating normal day to day variations of postural control in a healthy young population using Wii balance boards

William Johnston;Ciaran Purcell;Ciara Duffy;Tara Casey;Barry R. Greene;David Singleton;Denise McGrath;Brian Caulfield

2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
Year: 2019 | Conference Paper |
The quantification of postural control (PC) provides the opportunity to understand the function and integration of the sensorimotor subsystems. The increased availability of portable sensing technology, such as Wii Balance Boards (WBB), has afforded the capacity to capture data pertaining to motor function, outside of the laboratory and clinical setting. However, prior to its use in long-term moni...Show More

Investigating normal day to day variations of postural control in a healthy young population using Wii balance boards

William Johnston;Ciaran Purcell;Ciara Duffy;Tara Casey;Barry R. Greene;David Singleton;Denise McGrath;Brian Caulfield

Year: 2019 | Conference Paper |

A performance comparison of neuromuscular electrical stimulation protocols for isolated quadriceps contraction versus co-contraction of quadriceps and hamstrings

Ciara Duignan;Mark Doolan;David Doyle;Joe McGowan;Sean O’Shaughnessy;Conor Minogue;Brian Caulfield

2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
Year: 2019 | Conference Paper |
Cited by: Papers (2)
A Neuromuscular Electrical Stimulation (NMES) protocol that incorporates co-contraction of the quadriceps and hamstrings may provide greater functional benefits for knee rehabilitation. It is unclear if the addition of a co-contraction will affect the desired torque outputs of one or two of the involved muscle groups. Due to the proposed functional benefits of co-contraction, it may be beneficial ...Show More

A performance comparison of neuromuscular electrical stimulation protocols for isolated quadriceps contraction versus co-contraction of quadriceps and hamstrings

Ciara Duignan;Mark Doolan;David Doyle;Joe McGowan;Sean O’Shaughnessy;Conor Minogue;Brian Caulfield

Year: 2019 | Conference Paper |

Biofeedback in Breast Cancer Rehabilitation: Applying the WHO ICF Core Set to Identify Opportunities and Recommendations

Louise Brennan;Enrique Dorronzoro Zubiete;Brian Caulfield

2019 IEEE 32nd International Symposium on Computer-Based Medical Systems (CBMS)
Year: 2019 | Conference Paper |
Digital biofeedback technologies are used in physical rehabilitation to improve motor learning and enhance engagement with therapies, but they are unfrequently used in breast cancer rehabilitation. Digital biofeedback interventions should be custom-made for the specific breast cancer context. The WHO ICF Core Set for Breast Cancer describes this context by itemising the biopsychosocial and environ...Show More

Biofeedback in Breast Cancer Rehabilitation: Applying the WHO ICF Core Set to Identify Opportunities and Recommendations

Louise Brennan;Enrique Dorronzoro Zubiete;Brian Caulfield

Year: 2019 | Conference Paper |

Automatic classification of knee rehabilitation exercises using a single inertial sensor: A case study

Antonio Bevilacqua;Bingquan Huang;Rob Argent;Brian Caulfield;Tahar Kechadi

2018 IEEE 15th International Conference on Wearable and Implantable Body Sensor Networks (BSN)
Year: 2018 | Conference Paper |
Cited by: Papers (21)
Inertial measurement units have the ability to accurately record the acceleration and angular velocity of human limb segments during discrete joint movements. These movements are commonly used in exercise rehabilitation programmes following orthopaedic surgery such as total knee replacement. This provides the potential for a biofeedback system with data mining technique for patients undertaking ex...Show More

Automatic classification of knee rehabilitation exercises using a single inertial sensor: A case study

Antonio Bevilacqua;Bingquan Huang;Rob Argent;Brian Caulfield;Tahar Kechadi

Year: 2018 | Conference Paper |

Impact of autonomous vehicles on pedestrians' safety

Jaspreet Singh Brar;Brian Caulfield

2017 IEEE 20th International Conference on Intelligent Transportation Systems (ITSC)
Year: 2017 | Conference Paper |
Cited by: Papers (9)
Autonomous vehicles (AVs) are currently being developed, and the subject is undergoing an intense transport study. They present enormous potential to enhance the safety, efficiency, and sustainability of road traffic. The development of autonomous vehicles (AVs) is rapidly moving forward with companies already performing or planning trials in public traffic environment. However, the aspect of how ...Show More

Impact of autonomous vehicles on pedestrians' safety

Jaspreet Singh Brar;Brian Caulfield

Year: 2017 | Conference Paper |

Using eye-tracking technology and Google street view to understand cyclists' perceptions

William Brazil;Anthony O'Dowd;Brian Caulfield

2017 IEEE 20th International Conference on Intelligent Transportation Systems (ITSC)
Year: 2017 | Conference Paper |
Cited by: Papers (4)
For a number of years eye-tracking technology has been used within transport research, particularly with respect to road safety, to gain an understanding of the ability of individuals undertake tasks such as hazard identification. Advances in this technology, specifically with regard to the affordability and portability of eye-tracking devices, are creating a wide range of new research opportuniti...Show More

Using eye-tracking technology and Google street view to understand cyclists' perceptions

William Brazil;Anthony O'Dowd;Brian Caulfield

Year: 2017 | Conference Paper |

Conceptualising a Targeted Rehabilitation Exercise Biofeedback System for a Cancer Survivorship Population

Louise Brennan;Ailish Daly;Brian Caulfield

2017 IEEE 30th International Symposium on Computer-Based Medical Systems (CBMS)
Year: 2017 | Conference Paper |
Introduction The increased prevalence of cancer survivors requires a focus on developing long-term, cost-effective management strategies to prevent and limit disability and morbidity. Background Cancer survivors with pain, weakness and restricted movement often benefit from targeted exercise programmes provided by a Physiotherapist. Physical, psychological and situational factors can impact on pat...Show More

Conceptualising a Targeted Rehabilitation Exercise Biofeedback System for a Cancer Survivorship Population

Louise Brennan;Ailish Daly;Brian Caulfield

Year: 2017 | Conference Paper |

The Application of Neuromuscular Electrical Stimulation (NMES) Technologies in Cancer Care

Dominic O'Connor;Brian Caulfield

2017 IEEE 30th International Symposium on Computer-Based Medical Systems (CBMS)
Year: 2017 | Conference Paper |
Despite the increase in long term cancer survivors, successful treatment is associated with significant sequelae. As a result, participation in voluntary exercise becomes difficult highlighting the need for pragmatic alternatives. Neuromuscular electrical stimulation (NMES) has been shown as effective in pathological conditions for improving muscle strength. However, its use in cancer care is spar...Show More

The Application of Neuromuscular Electrical Stimulation (NMES) Technologies in Cancer Care

Dominic O'Connor;Brian Caulfield

Year: 2017 | Conference Paper |

Quality of Information About Physical Activity in Breast Cancer Facebook Pages: A Preliminary Content Review

Gabriel R. Signorelli;Matilde M. Fernandez;Francisco M.M. Guerra;Luis Fernandez-Luque;Brian Caulfield

2017 IEEE 30th International Symposium on Computer-Based Medical Systems (CBMS)
Year: 2017 | Conference Paper |
Cited by: Papers (1)
In this study, we focused on posting frequency and quality of exercise and physical activity content in Facebook. We sought to (1) explore the frequency of exercise and physical activity topics posted on specialized Breast Cancer channels and (2) evaluate the quality of these information. Evaluations of informations quality were performed independently by two sports and exercise experts, with prev...Show More

Quality of Information About Physical Activity in Breast Cancer Facebook Pages: A Preliminary Content Review

Gabriel R. Signorelli;Matilde M. Fernandez;Francisco M.M. Guerra;Luis Fernandez-Luque;Brian Caulfield

Year: 2017 | Conference Paper |

Connected Health in Multiple Sclerosis: A Mobile Applications Review

Guido Giunti;Estefania Guisado-Fernandez;Brian Caulfield

2017 IEEE 30th International Symposium on Computer-Based Medical Systems (CBMS)
Year: 2017 | Conference Paper |
Cited by: Papers (20)
Multiple Sclerosis (MS) is an unpredictable, often disabling disease that can adversely affect any body function; this often requires persons with MS to be active patients who are able to self-manage. There are currently thousands of health applications available but it is unknown how many concern MS. We conducted a systematic review of all MS apps present in the most popular app stores (iTunes an...Show More

Connected Health in Multiple Sclerosis: A Mobile Applications Review

Guido Giunti;Estefania Guisado-Fernandez;Brian Caulfield

Year: 2017 | Conference Paper |

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