Róisín Marie Howard
University of Limerick
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Publication
Featured researches published by Róisín Marie Howard.
Sports Biomechanics | 2016
Róisín Marie Howard; Richard Conway; Andrew J. Harrison
Abstract This paper examines the use of sensor devices in sports biomechanics, focusing on current frequency of use of Electromyography (EMG) device preferences. Researchers in the International Society of Biomechanics in Sports were invited to participate in an online survey. Responses on multiple sensor devices highlighting frequency of use, device features and improvements researchers sought in acquisition and analysis methods were obtained via an online questionnaire. Results of the investigation showed that the force platform is the most frequently used device, with inertial measurement units and EMG devices growing in popularity. Wireless functionality and ease of use for both the participant and the practitioner proved to be important features. The main findings of the survey demonstrated need for a simple, low power, multi-channel device which incorporates the various sensors into one single device. Biomechanists showed they were looking for more availability of wireless sensor devices with acquisition and analysis features. The study found there is a need to develop software analysis tools to accompany the multi-channel device, providing all the basic functions while maintaining compatibility with existing systems.
Sports Biomechanics | 2018
Róisín Marie Howard; Richard Conway; Andrew J. Harrison
Abstract The use of electromyography (EMG) is widely recognised as a valuable tool for enhancing the understanding of performance drivers and potential injury risk in sprinting. The timings of muscle activations relative to running gait cycle phases and the technology used to obtain muscle activation data during sprinting are of particular interest to scientists and coaches. This review examined the main muscles being analysed by surface EMG (sEMG), their activations and timing, and the technologies used to gather sEMG during sprinting. Electronic databases were searched using ‘Electromyography’ OR ‘EMG’ AND ‘running’ OR ‘sprinting’. Based on inclusion criteria, 18 articles were selected for review. While sEMG is widely used in biomechanics, relatively few studies have used sEMG in sprinting due to system constraints. The results demonstrated a focus on the leg muscles, with over 70% of the muscles analysed in the upper leg. This is consistent with the use of tethered and data logging EMG systems and many sprints being performed on treadmills. Through the recent advances in wireless EMG technology, an increase in the studies on high velocity movements such as sprinting is expected and this should allow practitioners to perform the analysis in an ecologically valid environment.
IEEE Potentials | 2016
Róisín Marie Howard
Accelerometers, gyroscopes, and inertial measurement units (IMUs) play an important part in human movement analysis. In recent years, there has been a significant emphasis on physical activity and health monitoring, and the use of accelerometers for physical activity monitoring has become popular. Electromyography (EMG) is a popular technique in the analysis of muscle activations in sports biomechanics. Widespread use was limited due to devices originally being bulky and expensive. Recent developments have incorporated wireless functionality in these devices.
irish signals and systems conference | 2015
Róisín Marie Howard; Richard Conway; Andrew J. Harrison
The purpose of this study was to explore the use of Independent Component Analysis (ICA) on surface Electromyography (EMG) data to distinguish between individual muscle activations due to its capabilities for signal separation. EMG data was gathered on seven participants using the Delsys Trigno Wireless EMG system. Participants performed specific movements which targeted the calves muscle group of the lower leg. EMG sensors were attached according to SENIAM recommendations and extra sensors were attached in non-recommended locations to achieve crosstalk. Signals were acquired using proprietary Delsys software and processed using the ICA algorithm in Matlab to explore crosstalk. Integrated EMG was calculated for all results using custom Matlab code. The results showed moderate levels of agreement between the mixed signals and the original signals (p <; 0.01). However, further work is needed to determine the usefulness of the independent components.
Sports Biomechanics | 2017
Róisín Marie Howard; Richard Conway; Andrew J. Harrison
Abstract In the shot put, the athlete’s muscles are responsible for generating the impulses to move the athlete and project the shot into the air. Information on phasic muscle activity is lacking for the glide shot put event and therefore important technical information for coaches is not currently available. This study provides an electromyography (EMG) analysis of the muscle activity of the legs during shot put. Fifteen right-handed Irish national level shot putters performed six maximum effort throws using the glide shot put technique. EMG records of eight bilateral lower limb muscles (rectus femoris, biceps femoris, medial- and lateral-gastrocnemius) were obtained during trials. Analysis using smooth EMG linear envelopes revealed patterns of muscle activity across the phases of the throw and compare men and women performers. The results showed that the preferred leg rectus femoris, the preferred leg biceps femoris and the non-preferred leg biceps femoris play important roles in the glide technique, with the total duration of high volumes of activity between 34 and 53% of the throw cycle. A comprehensive understanding of movement and muscle activation patterns for coaches could be helpful to facilitate optimal technique throughout each of the key phases of the event.
irish signals and systems conference | 2014
Róisín Marie Howard; Richard Conway; Andrew J. Harrison
ISBS - Conference Proceedings Archive | 2014
Robin Healy; Róisín Marie Howard; Ian C. Kenny; Andrew J. Harrison
ISBS - Conference Proceedings Archive | 2014
Róisín Marie Howard; Robin Healy; Richard Conway; Andrew J. Harrison
Archive | 2016
Róisín Marie Howard
ISBS - Conference Proceedings Archive | 2016
Róisín Marie Howard; Richard Conway; Andrew J. Harrison