Breathing Pattern Influence to the Shooting Performance

Mohamed, Muhamad Noor; Norman, Wan Mohd Norsyam Wan; Linoby, Adam; Sariman, Mohd Hanifa; Azam, Mohd Zulkhairi Mohd

doi:10.1007/978-981-287-107-7_34

Cited by 9 publications

(10 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…DA discriminated clusters based on the participants' performance in the predicted parameters; the precision of classification in DA was 90.63% with the standard mode with FVC, MVV, PEFR, and IRV parameters; 93.75% with the backward stepwise mode with FVC, MVV, and IRV parameters; and 96.88% with the forward stepwise mode with the PEFR parameter. This reveals the importance of (FVC, MVV, PEFR, and IRV) high capacity of lung function in archery, remaining consistent with the previous research [7,11,12]. The current study proved that lung capacity parameters, such as FVC, MVV, PEFR, and IRV, influenced performance in archery.…”

Section: Discussionsupporting

confidence: 92%

“…They maintain that repeated training of shoulder muscles helps to enhance the VC, and, with reference to archery, that the repeated lifting of a bow increases the strength of accessory inspiration muscles. It is obvious that to hold a bow constantly for a long time and reach high performance in the discipline, high capacity of lung function and shoulder muscular endurance are needed, which was also supported by the finding that the release pause of breathing (particularly exhalation) force majorly contributed to higher shooting precision [12]. These results recommend archers to enhance their capacity of lung function in order to perform better in the sport of archery.…”

Section: Discussionmentioning

confidence: 78%

See 1 more Smart Citation

A multivariate analysis of cardiopulmonary parameters in archery performance

Eswaramoorthi¹,

Abdullah²,

Musa³

et al. 2018

Hum Mov.

View full text Add to dashboard Cite

Purpose. The aim of this investigation was to determine the most significant cardiopulmonary parameters bound with high archery scores and to assess their relationship with successful performance in archery. Methods. The total of 32 archers with mean age of 17 ± 0.56 years were gathered from dissimilar archery programmes. Cardiopulmonary parameters were measured prior to shooting tests. Multivariate techniques of principal component analysis (PCA), hierarchical agglomerative cluster analysis (HACA), and discriminant analysis (DA) were used to analyse the data collected. Results. The initial PCA identified 4 parameters with a higher eigenvalue (> 1). However, PCA after varimax rotation indicated 4 varifactors with high positive loadings, containing 3 respiratory parameters: forced vital capacity (FVC; 0.83), maximum voluntary ventilation (MVV; 0.83), and peak expiratory flow rate (PEFR; 0.87); 2 pressure parameters: resting diastolic blood pressure (RDbP; 0.78) and resting systolic blood pressure (RSbP; 0.88); 1 volume parameter: inspiratory reserve volume (IRV; 0.86); and 1 rate parameter: resting respiratory rate (RRR; 0.87). HACA divided the archers into 2 categories on the basis of their performance on the most needed parameters; these were high-optimum pulmonary capacity archers (HOCA) and low-optimum pulmonary capacity archers (LOCA). Standard, backward stepwise, and forward stepwise DA discriminated the classes from the 7 parameters with remarkable accuracy (90.63%, 93.75%, and 96.88%, respectively) for each method, confirming the classification provided by HACA. Conclusions. It is obvious from the current outcomes that such cardiopulmonary parameters as good FVC, MVV, PEFR, IRV, RRR, and optimal RSbP and RDbP are necessary for better archery performance.

show abstract

Section: Discussionsupporting

confidence: 92%

Section: Discussionmentioning

confidence: 78%

A multivariate analysis of cardiopulmonary parameters in archery performance

Eswaramoorthi¹,

Abdullah²,

Musa³

et al. 2018

Hum Mov.

View full text Add to dashboard Cite

show abstract

“…In the literature, commercially available devices able to monitor only one of these parameters (f R and HR) were used on archers. Breathing activity and patterns were studied in [9] by using Zephyr Bio-Harness devices (Model PSM Research version 1.5, single transmitter and receiver, Annapolis, MD, USA). In [2,5,7] HR values were monitored by using Polar FT4, three silver-silver chloride chest electrodes, and Fitbit Charge HR (Fitbit, Inc. Boston, MA, USA), respectively.…”

Section: Discussionmentioning

confidence: 99%

“…Lakie et al demonstrated that high values of HR can cause sway movements, tremor, and shaking of the body when aiming at the target [8]. Mohammed et al showed that HR variations affect breathing capacity, thus inconsistent breathing patterns can also impose a negative effect on the heart rate, and in general on the athlete’s performance [9].…”

Section: Introductionmentioning

confidence: 99%

“…The forced breathing process often leads to sway movements due to muscular contraction and an increase of ventricular depolarization, compromising body stability during the aiming phase [12,13,14]. Thus, comprehensive monitoring of breathing and heart beating during the shooting phases can improve the scheduling of exercises and optimize the training strategies [9].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Cardio-Respiratory Monitoring in Archery Using a Smart Textile Based on Flexible Fiber Bragg Grating Sensors

Presti

Romano

Massaroni

et al. 2019

Sensors

View full text Add to dashboard Cite

In precision sports, the control of breathing and heart rate is crucial to help the body to remain stable in the shooting position. To improve stability, archers try to adopt similar breathing patterns and to have a low heartbeat during each shot. We proposed an easy-to-use and unobtrusive smart textile (ST) which is able to detect chest wall excursions due to breathing and heart beating. The sensing part is based on two FBGs housed into a soft polymer matrix to optimize the adherence to the chest wall and the system robustness. The ST was assessed on volunteers to figure out its performance in the estimation of respiratory frequency (fR) and heart rate (HR). Then, the system was tested on two archers during four shooting sessions. This is the first study to monitor cardio-respiratory activity on archers during shooting. The good performance of the ST is supported by the low mean absolute percentage error for fR and HR estimation (≤1.97% and ≤5.74%, respectively), calculated with respect to reference signals (flow sensor for fR, photopletismography sensor for HR). Moreover, results showed the capability of the ST to estimate fR and HR during different phases of shooting action. The promising results motivate future investigations to speculate about the influence of fR and HR on archers’ performance.

show abstract

Environmental impact and performance assessment of a new Zigbee‐based shotgun training system

Ali

Fraj

Oueslati

et al. 2020

Engineering Reports

View full text Add to dashboard Cite

Only a few research works have studied the risks involving young athletes in shooting activities such as noise and risk of projectile impact. Besides, limited studies have explored the environmental concerns caused by remaining projectile fragments scattered into the environment. In recent years, there has been an increasing interest in integrating computing, modeling, and IoT‐based applications and used connected add‐ons (e.g., steams Virtual Reality VR, virtual guns, and game controllers) in sports activities displayed in virtual reality gaming environments. The aim of this paper is, first, to present a multi‐aspect Zigbee‐based protocol system used to assess and to improve reaction time and score prediction abilities of Shotgun sports practitioners indoor and outdoor. Second, B‐percept would be presented as a training solution to reduce environmental scattered wastes of used Clays. After 8 weeks of training, there was significant improvement (p < .001) of participants' reaction time by using the B‐percept simulator. In addition, improvement in real clay shotgun results (p < .0002) but it was difficult to correctly predict more than 60% of correct scores after the test. The results of this study encourage continuing to improve the B‐percept to use wireless moving targets for training purposes.

show abstract

Breathing Pattern Influence to the Shooting Performance

Cited by 9 publications

References 10 publications

A multivariate analysis of cardiopulmonary parameters in archery performance

A multivariate analysis of cardiopulmonary parameters in archery performance

Cardio-Respiratory Monitoring in Archery Using a Smart Textile Based on Flexible Fiber Bragg Grating Sensors

Environmental impact and performance assessment of a new Zigbee‐based shotgun training system

Contact Info

Product

Resources

About