Cardio-Respiratory Monitoring in Archery Using a Smart Textile Based on Flexible Fiber Bragg Grating Sensors
Open accessAbstract
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.
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An FBG sensor embedded in a soft polymer matrix for control of breathing and HR in archers offers a low mean absolute percentage error for RR and HR estimation (≤1.97% and ≤5.74%).
“They offer a low mean absolute percentage error for RR and HR estimation (≤1.97% and ≤5.74%).”
From The Current State of Optical Sensors in Medical Wearables (2022) · cites this paper as [258]
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Cites
STATISTICAL METHODS FOR ASSESSING AGREEMENT BETWEEN TWO METHODS OF CLINICAL MEASUREMENT
Martin Bland, J., & Altman, D. (1986) · The Lancet · doi:10.1016/s0140-6736(86)90837-8 · Cited by 47,965 · see citing works
Erdogan, T. (1997) · Journal of Lightwave Technology · doi:10.1109/50.618322 · Cited by 3,372 · see citing works
Contact-Based Methods for Measuring Respiratory Rate
Massaroni, C., Nicolò, A., Presti, D. L., Sacchetti, M., Silvestri, S., & Schena, E. (2019) · Sensors · doi:10.3390/s19040908 · Cited by 442 · see citing works
Self-citationWearable System Based on Flexible FBG for Respiratory and Cardiac Monitoring
Lo Presti, D., Massaroni, C., D'Abbraccio, J., Massari, L., Caponero, M., Longo, U. G., Formica, D., Oddo, C. M., & Schena, E. (2019) · IEEE Sensors Journal · doi:10.1109/jsen.2019.2916320 · Cited by 219 · see citing works
Self-citationThe relationship between fear of falling and human postural control
Davis, J. R., Campbell, A., Adkin, A. L., & Carpenter, M. G. (2008) · Gait & Posture · doi:10.1016/j.gaitpost.2008.09.006 · Cited by 207 · see citing works
The contribution of the intercostal muscles to the effort of respiration in man
Taylor, A. (1960) · The Journal of Physiology · doi:10.1113/jphysiol.1960.sp006446 · Cited by 199 · see citing works
Düking, P., Andreas Hotho, A., Holmberg, H., Fuss, F. K., & Sperlich, B. (2016) · Frontiers in Physiology · doi:10.3389/fphys.2016.00071 · Cited by 184 · see citing works
Ernst, G. (2013) · Springer eBooks · doi:10.1007/978-1-4471-4309-3 · Cited by 126 · see citing works
The influence of muscle tremor on shooting performance
Lakie, M. (2009) · Experimental Physiology · doi:10.1113/expphysiol.2009.047555 · Cited by 107 · see citing works
Smart Textile Based on 12 Fiber Bragg Gratings Array for Vital Signs Monitoring
Presti, D. L., Massaroni, C., Formica, D., Saccomandi, P., Giurazza, F., Caponero, M., & Schena, E. (2017) · IEEE Sensors Journal · doi:10.1109/jsen.2017.2731788 · Cited by 107 · see citing works
Self-citationEntrainment of Blood Pressure and Heart Rate Oscillations by Periodic Breathing
LORENZI-FILHO, G., DAJANI, H. R., LEUNG, R. S. T., FLORAS, J. S., & BRADLEY, T. D. (1999) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/ajrccm.159.4.9806081 · Cited by 105 · see citing works
da Silva, A. F., Carmo, J. P., Mendes, P. M., et al. (2011) · Measurement Science and Technology · doi:10.1088/0957-0233/22/7/075801 · Cited by 69 · see citing works
Spratford, W., & Campbell, R. A. (2017) · European Journal of Sport Science · doi:10.1080/17461391.2017.1285963 · Cited by 69 · see citing works
Fine body movements and the cardiac cycle in archery
Keast, D. H., & Elliott, B. C. (1990) · Journal of Sports Sciences · doi:10.1080/02640419008732146 · Cited by 50 · see citing works
Emotions, heart rate and performance in archery. A case study.
Robazza, C., Bortoli, L., & Nougier, V. (1999) · PubMed · Cited by 48 · see citing works
A Smart Skin PVC Foil Based on FBG Sensors for Monitoring Strain and Temperature
da Silva, A. F., Goncalves, A. F., Ferreira, L. A. D. A., et al. (2010) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2010.2057233 · Cited by 43 · see citing works
Effects of Pilates core stability exercises on the balance abilities of archers
Park, J.-M., Hyun, G.-S., Hyun, G.-S., et al. (2016) · Journal of Exercise Rehabilitation · doi:10.12965/jer.1632836.418 · Cited by 42 · see citing works
Nedoma, J., Fajkus, M., Martínek, R., et al. (2019) · Sensors · doi:10.3390/s19030470 · Cited by 38 · see citing works
Timing of Triggering in Relation to the Cardiac Cycle in Nonelite Rifle Shooters
Konttinen, N., Mets, T., Lyytinen, H., & Paananen, M. (2003) · Research Quarterly for Exercise and Sport · doi:10.1080/02701367.2003.10609110 · Cited by 31 · see citing works
Multi-channel monolithic integrated optic fiber Bragg grating sensor interrogator
Mendoza, E. A., Esterkin, Y., Kempen, C., et al. (2011) · Photonic Sensors · doi:10.1007/s13320-011-0021-8 · Cited by 27 · see citing works
Nedoma, J., Fajkus, M., Novak, M., Strbikova, N., Vašinek, V., Nazeran, H., Vaňuš, J., Perecar, F., & Martínek, R. (2017) · Advances in Electrical and Electronic Engineering · doi:10.15598/aeee.v15i3.2194 · Cited by 26 · see citing works
Respiratory and cardiac rates monitoring during MR examination by a sensorized smart textile
Presti, D. L., Massaroni, C., Formica, D., Giurazza, F., Schena, E., Saccomandi, P., Caponero, M., & Muto, M. (2017) · IEEE International Instrumentation and Measurement Technology Conference · doi:10.1109/i2mtc.2017.7969818 · Cited by 21 · see citing works
Self-citationCardiac-induced localized thoracic motion detected by a fiber optic sensing scheme
Allsop, T., Lloyd, G., Bhamber, R., et al. (2014) · Journal of Biomedical Optics · doi:10.1117/1.jbo.19.11.117006 · Cited by 14 · see citing works
Breathing Pattern Influence to the Shooting Performance
Mohamed, M. N., Norman, W. M. N. W., Linoby, A., Sariman, M. H., & Azam, M. (2014) · Springer eBooks · doi:10.1007/978-981-287-107-7_34 · Cited by 11 · see citing works
Miyamoto, M. (1994) · THE JAPANESE JOURNAL OF EXPERIMENTAL SOCIAL PSYCHOLOGY · doi:10.2130/jjesp.33.191 · Cited by 8 · see citing works
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Research works printed but not linked: 1
- [7]Mohamed M.N. Wan Norman W.M.N. Linoby A. Sariman M.H. Mohd Azam M.Z. The Importance of Being Calm: The Impact of Heart Rate Towards Performance Proceedings of the International Business Management and Computing Research Colloquium (BMCRC) Raub, Malaysia 25 May 2016
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Fiber Bragg Grating Sensors for Cardiorespiratory Monitoring: A Review
Massaroni, C., Zaltieri, M., Lo Presti, D., Nicolo, A., Tosi, D., & Schena, E. (2021) · IEEE Sensors Journal · doi:10.1109/jsen.2020.2988692 · Cited by 128 · see citing works
Self-citationThe Current State of Optical Sensors in Medical Wearables
Vavrinsky, E., Esfahani, N. E., Hausner, M., Kuzma, A., Rezo, V., Donoval, M., & Kosnacova, H. (2022) · Biosensors · doi:10.3390/bios12040217 · Cited by 103 · see citing works
- Authors
- Lo Presti, D., Romano, C., Massaroni, C., D’Abbraccio, J., Massari, L., Caponero, M. A., Oddo, C. M., Formica, D., & Schena, E.
- Affiliations
- Unit of Measurement and Biomedical Instrumentation, Università Campus Bio-Medico di Roma, Via Alvaro del Portillo, 00128 Rome, Italy
- Università Campus Bio-Medico (IT)
- Scuola Superiore Sant'Anna (IT)
- Ca' Foscari University of Venice (IT)
- National Agency for New Technologies, Energy and Sustainable Economic Development (IT)
- ORCID
- Venue
- Sensors
- Publisher
- MDPI AG
- Published
- 2019-08-17
- Volume
- 19
- Issue
- 16
- Pages
- 3581
- ISSN
- 1424-8220 (ISSN-L)
- PMC
- PMC6721071
- OpenAlex
- W2967040136
- Cited by
- 126
- References
- 25
- Citations by year
- 2026: 7 · 2025: 12 · 2024: 17 · 2023: 26 · 2022: 22 · 2021: 19 · 2020: 21 · 2019: 2
- FWCI
- 5.63
- Type
- journal article
- Language
- en
- Open access
- gold
- dx.doi.org
- Licence
- Locations
- Sensors (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- CINECA IRIS Institutional Research Information System (Sant'Anna School of Advanced Studies) (submittedVersion, cc-by)
- Funders
- Istituto Nazionale per l'Assicurazione Contro Gli Infortuni sul Lavoro (ID10/2018)
- Fondazione Baroni (2019)
- Topics
- Physical Sciences › Engineering › Biomedical Engineering › Non-Invasive Vital Sign Monitoring
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Advanced Fiber Optic Sensors
- Physical Sciences › Engineering › Biomedical Engineering › Advanced Sensor and Energy Harvesting Materials
- Keywords
- fiber Bragg grating sensors, archery, heart rate estimation, flexible sensors, precision sports
- MeSH terms
- Wearable Electronic Devices, Adult, Female, Heart Rate, Humans, Male, Monitoring, Physiologic, Respiration, Sports, Young Adult
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