Wearable Biosensor: How to improve the efficacy in data transmission in respiratory monitoring system?
Abstract
Respiratory rate measurement is important under different types of health issues. The need for technological developments for measuring respiratory rate has become imperative for healthcare professionals. The paper presents an approach to respiratory monitoring, with the aim to improve the accuracy and efficacy of the data monitored. We use multiple types of sensors on various locations on the body to continuously transmit real-time data, which is rocessed to calculate the respiration rate. Variations in the respiration rate will help us identify the current health condition of the patient also for diagnosis and further medical treatment. The software tools such as Keil μVision IDE, Mbed Studio IDE, Energia IDE are used to compile and build the system architecture and display information. EasyEDA is used to provide pin map details and complete architecture information.
Full Text:
PDFReferences
Sumit Majumder; Tapas Mondal; M. Jamal Deen, (2017), Wearable
Sensors for Remote Health Monitoring’, Sensors (Basel), 17(1): 130..
doi: 10.3390/s17010130
Andreoni G., Perego P., Standoli C. (2015), ‘Wearable monitoring of
elderly in an ecologic setting: The SMARTA project.’ 2nd International
conference on Sensors and Applications, November 2015.
Pantelopoulos A.; Bourbakis N. (2010), ‘A Survey on Wearable Sensor-
Based Systems for Health Monitoring and Prognosis’ IEEE Trans. Syst.
Man Cybern. C, 40, 1–12
Al-Khalidi FQ, Saatchi R, Burke D, Elphick H, Tan S.(2010), ‘Respiration
rate monitoring methods: a review’. Pediatr Pulmonol., 46(6):523-
doi: 10.1002/ppul.21416. Epub 2011 Jan 31. PMID: 21560260.
Santacroce, L.,Charitos, I.A., Ballini, A., Inchingolo, F., Luperto,
P.,De Nitto, E.,Topi, S.,(2020), ‘The Human Respiratory
System and its Microbiome at a Glimpse’. Biology, 9, 318.
https://doi.org/10.3390/biology9100318
Vanegas E, Igual R, Plaza I., (2020), ‘Sensing Systems for Respiration
Monitoring: A Technical Systematic Review’, Sensors. 20(18):5446.
https://doi.org/10.3390/s20185446
A. Pantelopoulos and N. G. Bourbakis, (2010), ‘A Survey on Wearable
Sensor-Based Systems for Health Monitoring and Prognosis,’
IEEE Transactions on Systems, Man, and Cybernetics, Part
C (Applications and Reviews), vol. 40, no. 1, pp. 1-12, doi:
1109/TSMCC.2009.2032660
Chu, M., Nguyen, T., Pandey, V. et al. (2019), ‘Respiration rate and
volume measurements using wearable strain sensors’, npj Digital Med
, 8. https://doi.org/10.1038/s41746-019-0083-3
Majumder, Sumit et al.(2017), ‘Wearable Sensors for Remote
Health Monitoring.’, Sensors (Basel, Switzerland) vol. 17,1 130.
doi:10.3390/s17010130
Andreozzi E, Centracchio J, Punzo V, Esposito D, Polley C, Gargiulo
GD, Bifulco P. (2021), ‘Respiration Monitoring via Force cardiography
Sensors’. Sensors (Basel).21(12):3996. doi: 10.3390/s21123996. PMID:
; PMCID: PMC8228286.
Luis, Juan Aponte et al.(2014), ‘Design and implementation of a smart
sensor for respiratory rate monitoring’, Sensors (Basel, Switzerland)
vol. 14,2 3019-32. doi:10.3390/s140203019
Vanegas, Erik, Igual, Raul, Plaza, Inmaculada , (2019), ‘Piezoresistive
Breathing Sensing System with 3D Printed Wearable Casin’, Journal
of Sensors, (4):1-19 . https://doi.org/10.1155/2019/2431731 DOI-
1155/2019/2431731
Cesareo, Ambra et al., (2018), ‘Assessment of Breathing Parameters
Using an Inertial Measurement Unit (IMU)-Based System’, Sensors
(Basel, Switzerland) vol. 19,1 88. 27 Dec. 2018, doi:10.3390/s19010088
R.A. Roth, (2010),‘Introduction to Respiratory Toxicology, Editor(s): Charlene A. McQueen, Comprehensive Toxicology (Second Edition), Elsevier, Pages 3-12, ISBN 9780080468846, https://doi.org/10.1016/B978-0-08-046884-6.00901-5.
Yamamoto A, Nakamoto H, Bessho Y, Watanabe Y, Oki Y, Ono K,
Fujimoto Y, Terada T, Ishikawa A.(2019), ‘Monitoring respiratory rates
with a wearable system using a stretchable strain sensor during
moderate exercise’, Med Biol Eng Comput.,57(12):2741-2756. doi:
1007/s11517-019-02062-2. Epub 2019 Nov 17. PMID: 31734768.
Massaroni C, Nicolò A, Lo Presti D, Sacchetti M, Silvestri S, Schena
E.,(2019) ‘Contact-Based Methods for Measuring Respiratory Rate’.
Sensors (Basel).;19(4):908. doi: 10.3390/s19040908. PMID: 30795595;
PMCID: PMC6413190.
Bartula M, Tigges T, Muehlsteff J., (2013), ‘Camera-based system for
contactless monitoring of respiration’. Annual Int Conf IEEE Eng Med
Biol Soc. 2013; 2013:2672-5. doi: 10.1109/EMBC.2013.6610090. PMID:
Folke, M., Cernerud, L., Ekström, M. et al. (2003)., ‘Critical review of
non-invasive respiratory monitoring in medical care’. Med. Biol. Eng.
Comput. 41, 377–383. https://doi.org/10.1007/BF02348078
Klocke, Robert A., Burri, Peter H., Heath, Donald Albert, Weibel,
Ewald R., Elliott, David H., Cherniack, Neil S., Siebens, Arthur A. and
Beers, Michael F. (2020), ‘Human respiratory system’. Encyclopedia
Britannica, https://www.britannica.com/science/human-respiratorysystem. Accessed 14 August 2021.
Islam MS, Paul G, Ong HX, Young PM, Gu YT, Saha SC.(2020),
‘A Review of Respiratory Anatomical Development, Air Flow Characterization and Particle Deposition’, Int J Environ Res Public
Health.;17(2):380. doi: 10.3390/ijerph17020380. PMID: 31935991; PMCID: PMC7014067.
Lehtonen E, Teuho J, Koskinen J, Jafari Tadi M, Klén R, Siekkinen
R, Rives Gambin J, Vasankari T, Saraste A.(2021), ‘ A Respiratory
Motion Estimation Method Based on Inertial Measurement Units for
Gated Positron Emission Tomography’. Sensors (Basel).,21(12):3983.
doi: 10.3390/s21123983. PMID: 34207864; PMCID: PMC8228885.
Romano C, Schena E, Silvestri S, Massaroni C., (2021), ‘Non-Contact
Respiratory Monitoring Using an RGB Camera for Real-World Applications’.
Sensors (Basel),21(15):5126. doi: 10.3390/s21155126. PMID:
; PMCID: PMC8347288.
Ali Al-Naji, Ali J. Al-Askery, Sadik Kamel Gharghan and Javaan
Chahl, (2019), ‘A System for Monitoring Breathing Activity Using an
Ultrasonic Radar Detection with Low Power Consumption’, J. Sens.
Actuator Netw., 8(2), 32; https://doi.org/10.3390/jsan8020032
Gagandeep kour, Mohammad Rouman, Geetha.M, (2018), ‘Respiratory
Monitoring System Using Thermistor’ International Journal of
Pure and Applied Mathematics Vol 119, No. 12, 11567-11575.
Kamišali´c A, Fister I, Turkanovi´c M, Karakatiˇc S., (2018), ‘Sensors and
Functionalities of Non-Invasive Wrist-Wearable Devices: A Review’,
Sensors. 18(6):1714. https://doi.org/10.3390/s18061714
B Sumathy et al, (2021), ‘Wearable noninvasive Health monitoring
device for elderly using IoT’, IOP Conf. Ser.: Mater. Sci. Eng. 1012
https://doi.org/10.1088/1757-899X/1012/1/012011
P. S. Akram, M. Ramesha., S. A. S. Valiveti, S. Sohail and K.
T. S. S. Rao, (2021), ‘IoT based Remote Patient Health Monitoring
system’, 7th International Conference on Advanced Computing
and Communication Systems (ICACCS), pp. 1519-1524, doi:
1109/ICACCS51430.2021.9441874.
Li, Shih-Hong et al.(2017), ‘Design of Wearable Breathing Sound
Monitoring System for Real-Time Wheeze Detection’, Sensors (Basel,
Switzerland) vol. 17,1 171, doi:10.3390/s17010171
Li, Shih-Hong et al.(2017), ‘Design of Wearable Breathing Sound Monitoring System for Real-Time Wheeze Detection’, Sensors (Basel,
Switzerland) vol. 17,1 171, doi:10.3390/s170101718 .
Bergese, Sergio D et al. (2017), ‘Multicenter Study Validating Accuracy
of a Continuous Respiratory Rate Measurement Derived From Pulse Oximetry: A Comparison With Capnography.’, Anesthesia and analgesia vol. 124,4 1153-1159. doi:10.1213/ANE.0000000000001852
G. Karacocuk et al.,(2019), ‘Inertial Sensor-Based Respiration Analysis’,
IEEE Transactions on Instrumentation and Measurement, vol. 68, no.
, pp. 4268-4275., doi: 10.1109/TIM.2018.2889363.
Taisa Daiana da Costa, Maria de Fatima Fernandes Vara, Camila Santos Cristino, Tyene Zoraski Zanella, Guilherme Nunes Nogueira Neto and Percy Nohama, (2019). ‘Breathing Monitoring and Pattern Recognition with Wearable Sensors’, Wearable Devices - the Big Wave of Innovation, Noushin Nasiri, IntechOpen, DOI: 10.5772/intechopen.85460.
Qi, Wen, and Andrea Aliverti. (2020), ‘A Multimodal Wearable System
for Continuous and Real-Time Breathing Pattern Monitoring During
Daily Activity’, IEEE journal of biomedical and health informatics vol.
,8 2199-2207. doi:10.1109/JBHI.2019.2963048
Refbacks
- There are currently no refbacks.
International Journal of Electronics and Telecommunications
is a periodical of Electronics and Telecommunications Committee
of Polish Academy of Sciences
eISSN: 2300-1933