Brian Caulfield
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Explore the profile of Brian Caulfield including associated specialties, affiliations and a list of published articles.
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220
Citations
3522
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Recent Articles
11.
Encarna Mico-Amigo M, Bonci T, Paraschiv-Ionescu A, Ullrich M, Kirk C, Soltani A, et al.
J Neuroeng Rehabil
. 2024 May;
21(1):71.
PMID: 38702693
No abstract available.
12.
Kluge F, Brand Y, Encarna Mico-Amigo M, Bertuletti S, DAscanio I, Gazit E, et al.
JMIR Form Res
. 2024 May;
8:e50035.
PMID: 38691395
Background: Wrist-worn inertial sensors are used in digital health for evaluating mobility in real-world environments. Preceding the estimation of spatiotemporal gait parameters within long-term recordings, gait detection is an important...
13.
Nelson J, Caulfield B
Eur Transp Res Rev
. 2024 Apr;
14(1):22.
PMID: 38625180
Background: The design, management and operation of transport systems is a complex activity and this has only been exacerbated since the onset of the COVID-19 pandemic. Concern has been raised...
14.
Pareja-Cano A, Arjona J, Caulfield B, Cuesta-Vargas A
Sensors (Basel)
. 2024 Apr;
24(7).
PMID: 38610402
Running is one of the most popular sports practiced today and biomechanical variables are fundamental to understanding it. The main objectives of this study are to describe kinetic, kinematic, and...
15.
Greene B, Doheny E, McManus K, Caulfield B
Wearable Technol
. 2024 Mar;
3:e9.
PMID: 38486905
The five times sit-to-stand test (FTSS) is an established functional test, used clinically as a measure of lower-limb strength, endurance and falls risk. We report a novel method to estimate...
16.
Keogh A, Brennan C, Johnston W, Dickson J, Leslie S, Burke D, et al.
JMIR Form Res
. 2024 Mar;
8:e52442.
PMID: 38427410
Background: Digital tools may support people to self-manage their heart failure (HF). Having previously outlined the human-centered design development of a digital tool to support self-care of HF, the next...
17.
Kirk C, Kuderle A, Encarna Mico-Amigo M, Bonci T, Paraschiv-Ionescu A, Ullrich M, et al.
Sci Rep
. 2024 Jan;
14(1):1754.
PMID: 38243008
This study aimed to validate a wearable device's walking speed estimation pipeline, considering complexity, speed, and walking bout duration. The goal was to provide recommendations on the use of wearable...
18.
Gildea K, Hall D, Mercadal-Baudart C, Caulfield B, Simms C
J Safety Res
. 2023 Dec;
87:202-216.
PMID: 38081695
Introduction: Single Bicycle Brashes (SBCs) are common, and underreported in official statistics. In urban environments, light rail tram tracks are a frequent factor, however, they have not yet been the...
19.
Romijnders R, Salis F, Hansen C, Kuderle A, Paraschiv-Ionescu A, Cereatti A, et al.
Front Neurol
. 2023 Nov;
14:1247532.
PMID: 37909030
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 is shifting...
20.
Encarna Mico-Amigo M, Bonci T, Paraschiv-Ionescu A, Ullrich M, Kirk C, Soltani A, et al.
J Neuroeng Rehabil
. 2023 Jun;
20(1):78.
PMID: 37316858
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...