Wearable Biosensor: How to improve the efficacy in data transmission in respiratory monitoring system?

M. Kanthi, Dilli Ravilla

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:

PDF

References


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