1531 814

Title

A Survey on IoT based Wearable Sensor for Covid-19 Pandemic

  Noushini Nikeetha P. 1 * ,   Pavithra D. 2 ,   Sivakarthiga K. 3 ,   Karthika S. 4 ,   Yashitha R. 5 ,   Kirubasri G.V. 6

1  Department of Biomedical Engineering, VelTech Multitech Dr.Rangarajan Dr.Sakunthala Engineering College, Chennai, India
    (noushininikeetha@gmail.com)

2  Department of Biomedical Engineering, VelTech Multitech Dr.Rangarajan Dr.Sakunthala Engineering College, Chennai, India
    (pavidhushya1507@gmail.com)

3  Department of Biomedical Engineering, VelTech Multitech Dr.Rangarajan Dr.Sakunthala Engineering College, Chennai, India
    (sivakarthiga2066@gmail.com)

4  Department of Biomedical Engineering, VelTech Multitech Dr.Rangarajan Dr.Sakunthala Engineering College, Chennai, India
    (karthikasd22@gmail.com)

5  Department of Biomedical Engineering, VelTech Multitech Dr.Rangarajan Dr.Sakunthala Engineering College, Chennai, India
    (yashurajesh22@gmail.com)

6  Department of Biomedical Engineering, VelTech Multitech Dr.Rangarajan Dr.Sakunthala Engineering College, Chennai, India
    (kirubavelu1611@gmail.com)


Doi   :   https://doi.org/10.54216/IJWAC.020203

Received: march 15, 2021 Accepted: August 10, 2021

Abstract :

The COVID-19 pandemics have highlighted the importance of leveraging and harnessing our digital infrastructure enabling remote health monitoring. We foresee the need for more powerful diseases diagnosis and monitoring of personal and group health, which might be supported by wearable sensors, since conventional virus testing and vaccinations are delayed. Also, Internet of Things (IoT) has gained traction in a variety of research sectors, including academic and industrial settings, particularly in healthcare. By merging economic, social, and technological perspectives, IoT revolution reshapes today's healthcare systems. It evolves from traditional medical services to far more individualised programs that allow patient monitoring, diagnosis & treatment more convenient. IoT with wearable has recognized as a dominant component of healthcare transformation. When commonly diagnosed, wearable devices are linked to the internet, it may acquire vital information that might save lives. Also, models designed regulates and continuously monitors the condition of the patient by employing an network infrastructure during pandemics, reducing stress of health care providers, minimising medical errors, decrease the amount of work and medical staff productivity, lowering on-going medical cost and improving patient experience. Developing a convenient and accurate wearable device for earlier detection, assessment during social distance, as well as recovery is important during COVID-19 outbreak. As a result, numerous researchers devised wearable models; this study looks at the effect of wearable body sensors based on IoT technology in fighting COVID-19. In addition, the advantages of wearable devices are contrasted to those of traditional approaches.

Keywords :

COVID-19 , Coronavirus , Internet of things , Wearable devices , Body Sensors

References :

[1]   H.Mukhtar; S.Rubaiee; M.Krichen; R.Alroobaea, An IoT Framework for Screening of COVID-19 Using Real-Time Data from Wearable Sensors. Int. J. Environ. Res. Public Health 2021, vol 18, 4022. See also: https://doi.org/10.3390/ijerph18084022

[2]   L. Tan; K.Yu; AK.Bashir; X.Cheng; F.Ming; L.Zhao; X.Zhou; Toward real-time and efficient cardiovascular monitoring for COVID-19 patients by 5G-enabled wearable medical devices: a deep learning approach. Neural Comput & Applic,2021. See also:  https://doi.org/10.1007/s00521-021-06219-9-.

[3]   A.Caroline; M.Dittakavi et al.,  Monitoring Health Care Workers at Risk for COVID-19 Using Wearable Sensors and Smartphone Technology: Protocol for an Observational mHealth Study. JMIR Res Protoc ,2021, vol 10(5):e29562, See also: https://www.researchprotocols.org/2021/5/e29562/.

[4]   A.Kumar; K.Sharma; H.Singh; S.Naugriya et al., A drone-based networked system and methods for combating coronavirus disease (COVID-19) pandemic , Future Generation Computer Systems, Vol 115,2021,Pg 1-19,

[5]   H. Ceren Ates; Ali K. Yetisen; F.Güder; C.Dincer,. Wearable devices for the detection of COVID-19, Nat Electron Vol 4, Pg 13–14,2021. See also: https://doi.org/10.1038/s41928-020-00533-1

[6]   K.Raja; R.Kumar; S.Kirubakaran; J.Antony Marcilin; Manikandan R;, COVID-19 prediction and symptom analysis using wearable sensors and IoT, International Journal of Pervasive Computing and Communications. See also: https://doi.org/10.1108/IJPCC-09-2020-0146

[7]   L.Benjamin; K.Aschbacher; S.M. Fisher; A.Chowdhary et al., Feasibility of continuous fever monitoring using wearable devices. Sci Rep, 2020, vol 10, 21640. See also:  https://doi.org/10.1038/s41598-020-78355-6.

[8]   M.Otoom; N.Otoum; Mohammad A. Alzubaidi, Y.Etoom; R.Banihani.,An IoT-based framework for early identification and monitoring of COVID-19 cases-,Biomedical Signal Processing and Control,2020,Vol 62, See also: https://www.sciencedirect.com/science/article/abs/pii/S1746809420302949.

[9]   L.Garibyan; N.Avashia,Polymerase Chain Reaction. Journal of Investigative Dermatology,2019, vol.133(3), pg-1–4. See also: doi:10.1038/jid.2013.1.

[10] https://my.clevelandclinic.org/health/diagnostics/21462-covid-19-and-pcr-testing.

[11] N.Harish; P.Xu; V.Servellita; S.Miller; L.Liu; A.Gopez et al., Abate-Digital droplet PCR accurately quantifies SARS-CoV-2 viral load from crude lysate without nucleic acid purification. Sci Rep,2021, vol 11, 780. See also: https://doi.org/10.1038/s41598-020-80715-1 .

[12] R.C. She.;T.E. Schutzbank;E.M.Marlowe. Non-PCR Amplification Techniques. In: Tang YW., Stratton C. (eds) Advanced Techniques in Diagnostic Microbiology. Springer, Cham.,2018, https://doi.org/10.1007/978-3-319-33900-9_17

[13] Compton J., Nucleic acid sequence-based amplification. Nature. 1991 Mar 7; 350 (6313):91-2. See also: doi: 10.1038/350091a0. 

[14] World Health Organization. Laboratory Testing for Coronavirus Disease (COVID-19) in Suspected Human Cases: Interim Guidance; World Health Organization: Geneva, The Switzerland, 3 March 2020. https://apps.who.int/iris/handle/10665/331329.

[15] M.Seki; P.E. Kilgore; EJ. Kim; M. Ohnishi et al.,Loop-Mediated Isothermal Amplification Methods for Diagnosis of Bacterial Meningitis See also: https://doi.org/10.3389/fped.2018.00057 .

[16] Md. Milon Islam; S.Mahmud; L. J. Muhammad; Md. Rabiul Islam et al, Wearable Technology to Assist the Patients Infected with Novel Coronavirus (COVID-19)-See also: https://link.springer.com/article/10.1007/s10916-020-01697-1-. 

[17] J.C. Miller; D.Skoll; Leslie A, Saxon. Home Monitoring of Cardiac Devices in the Era of COVID-19. See also: https://link.springer.com/article/10.1007/s11886-020-01431-w

[18] J.Dai; H.Zhao; X Lin; X Liu; S, Liu et al. Ultrafast response polyelectrolyte humidity sensor for respiration monitoring. ACS Appl Mater Interfaces. 2019; 11:6483–90. https://doi.org/10.1021/acsami.8b18904.

[19] PH.Charlton; DA.Birrenkott; T.Bonnici; MAF.Pimentel et al.,Breathing rate estimation from the electrocardiogram and photoplethysmogram: a review. IEEE Rev Biomed Eng. 2018; Vol 11, No 2–20. See also: https://doi.org/10.1109/RBME.2017.2763681.

[20] VN Quy; DT.Xuan Duy; DT. Kien et al.,Wearable device for monitoring heart rate based on low-cost piezoresistive sensor. In: 2019 8th International Conference on Modern Circuits and Systems Technologies (MOCAST). IEEE, pp. 1–4

[21] C. Song; P.Zeng; Z.Wang; H.Zhao et al.,Wearable continuous body temperature measurement using multiple artificial neural networks. IEEE Trans Ind Inf. 2018; Vol 14:4395–406- See also: https://doi.org/10.1109/TII.2018.2793905.

[22] https://www.apple.com/newsroom/2018/12/ecg-app-and-irregular-heart-rhythm-notification-available-today-on-apple-watch/.  Accessed 26 Feb 2020. ECG app and irregular heart rhythm notification available today on Apple WatchApple.-

[23]B.Liu;Y.Zhang,Wearable monitoring system with multiple physiological parameters. In: 2008 5th International Summer School and Symposium on Medical Devices and Biosensors. IEEE, pp. 268–271.

[24] https://healthcare-in-europe.com/en/news/wearable-ultrasound-sensors-could-support-covid-19-fight

[25] RK.Mahendran; V.Parthasarathy et al., An efficient priority-based convolutional auto-encoder approach for electrocardiogram signal compression in Internet of Things based healthcare system, Transactions on Emerging Telecommunications Technologies, Vol 32, See also:  https://doi.org/10.1002/ett.4115.

 

[26] RK.Mahendran; Parthasarathy, A secure fuzzy extractor based biometric key authentication scheme for body sensor network in Internet of Medical Things, Comput Commun. 2020, vol153: no 545-552. See also: https://doi.org/10.1016/j.comcom.2020.01.077


Cite this Article as :
Style #
MLA Noushini Nikeetha P. , Pavithra D., Sivakarthiga K., Karthika S., Yashitha R., Kirubasri G.V.. "A Survey on IoT based Wearable Sensor for Covid-19 Pandemic." International Journal of Wireless and Ad Hoc Communication, Vol. 2, No. 2, 2021 ,PP. 77-87 (Doi   :  https://doi.org/10.54216/IJWAC.020203)
APA Noushini Nikeetha P. , Pavithra D., Sivakarthiga K., Karthika S., Yashitha R., Kirubasri G.V.. (2021). A Survey on IoT based Wearable Sensor for Covid-19 Pandemic. Journal of International Journal of Wireless and Ad Hoc Communication, 2 ( 2 ), 77-87 (Doi   :  https://doi.org/10.54216/IJWAC.020203)
Chicago Noushini Nikeetha P. , Pavithra D., Sivakarthiga K., Karthika S., Yashitha R., Kirubasri G.V.. "A Survey on IoT based Wearable Sensor for Covid-19 Pandemic." Journal of International Journal of Wireless and Ad Hoc Communication, 2 no. 2 (2021): 77-87 (Doi   :  https://doi.org/10.54216/IJWAC.020203)
Harvard Noushini Nikeetha P. , Pavithra D., Sivakarthiga K., Karthika S., Yashitha R., Kirubasri G.V.. (2021). A Survey on IoT based Wearable Sensor for Covid-19 Pandemic. Journal of International Journal of Wireless and Ad Hoc Communication, 2 ( 2 ), 77-87 (Doi   :  https://doi.org/10.54216/IJWAC.020203)
Vancouver Noushini Nikeetha P. , Pavithra D., Sivakarthiga K., Karthika S., Yashitha R., Kirubasri G.V.. A Survey on IoT based Wearable Sensor for Covid-19 Pandemic. Journal of International Journal of Wireless and Ad Hoc Communication, (2021); 2 ( 2 ): 77-87 (Doi   :  https://doi.org/10.54216/IJWAC.020203)
IEEE Noushini Nikeetha P., Pavithra D., Sivakarthiga K., Karthika S., Yashitha R., Kirubasri G.V., A Survey on IoT based Wearable Sensor for Covid-19 Pandemic, Journal of International Journal of Wireless and Ad Hoc Communication, Vol. 2 , No. 2 , (2021) : 77-87 (Doi   :  https://doi.org/10.54216/IJWAC.020203)