Brendan OFlynn
Overview
Explore the profile of Brendan OFlynn including associated specialties, affiliations and a list of published articles.
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46
Citations
449
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Recent Articles
1.
OSullivan P, Menolotto M, OFlynn B, Komaris D
Appl Ergon
. 2025 Feb;
125:104480.
PMID: 39999711
Work-related musculoskeletal disorders (WMSDs) are commonplace in industry and a host of qualitative and quantitative approaches have been used to assuage the problem, including wearable sensors and biomechanical endurance models,...
2.
Khokhlova L, Komaris D, OFlynn B, Tedesco S
PLoS One
. 2024 Nov;
19(11):e0310123.
PMID: 39504329
Non-invasive assessment of joint status using acoustic emissions (AE) is a growing research area that has the potential to translate into clinical practice. The purpose of this study is to...
3.
Crowe C, Sica M, Kenny L, OFlynn B, Scott Mueller D, Timmons S, et al.
IEEE Trans Neural Syst Rehabil Eng
. 2024 Oct;
32:3828-3836.
PMID: 39383074
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 symptoms continuously despite background noise from...
4.
Crowe C, Naughton C, de Foubert M, Cummins H, McCullagh R, Skelton D, et al.
Aging Clin Exp Res
. 2024 Sep;
36(1):187.
PMID: 39254891
Purpose: The aim of this study is to explore the feasibility of using machine learning approaches to objectively differentiate the mobilization patterns, measured via accelerometer sensors, of patients pre- and...
5.
Valerio A, Demarchi D, OFlynn B, Motto Ros P, Tedesco S
Sensors (Basel)
. 2024 Jun;
24(11).
PMID: 38894487
Comprehending the regulatory mechanisms influencing blood pressure control is pivotal for continuous monitoring of this parameter. Implementing a personalized machine learning model, utilizing data-driven features, presents an opportunity to facilitate...
6.
Crowe C, Barton J, OFlynn B, Tedesco S
Aging Clin Exp Res
. 2024 May;
36(1):108.
PMID: 38717552
Introduction: Wrist-worn activity monitors have seen widespread adoption in recent times, particularly in young and sport-oriented cohorts, while their usage among older adults has remained relatively low. The main limitations...
7.
Yasar M, Sica M, OFlynn B, Tedesco S, Menolotto M
Sci Data
. 2024 Apr;
11(1):433.
PMID: 38678019
Wearable sensors have recently been extensively used in sports science, physical rehabilitation, and industry providing feedback on physical fatigue. Information obtained from wearable sensors can be analyzed by predictive analytics...
8.
Burke L, Khokhlova L, OFlynn B, Tedesco S
Hum Mov Sci
. 2024 Mar;
95:103200.
PMID: 38461747
Purpose: Considering the relationship between aging and neuromuscular control decline, early detection of age-related changes can ensure that timely interventions are implemented to attenuate or restore neuromuscular deficits. The dynamic...
9.
Dinuwan Gunawardhana K, Simorangkir R, McGuinness G, Rasel M, Magre Colorado L, Baberwal S, et al.
ACS Nano
. 2024 Jan;
18(4):2649-2684.
PMID: 38230863
The market for wearable electronic devices is experiencing significant growth and increasing potential for the future. Researchers worldwide are actively working to improve these devices, particularly in developing wearable electronics...
10.
OSullivan P, Menolotto M, OFlynn B, Komaris D
Annu Int Conf IEEE Eng Med Biol Soc
. 2023 Dec;
2023:1-5.
PMID: 38083441
Physical fatigue in the workplace can lead to work-related musculoskeletal disorders (WMSDs), especially in occupations that require repetitive, mid-air movements, such as manufacturing and assembly tasks in industry settings. The...