Abstract
Patient monitoring is always a challenging task. In this sense, a vast country like India, it becomes an uphill task in order to identify the disease in a better and faster way in each and every part of the country. In the modern scenario, the development of some useful wearable electronics and their uses in IOT based technologies have shown a promising future in terms of disease diagnosis and associated monitoring. The uses of wearable devices and mobile apps now have been integrated with telemedicine and telehealth efficiently with respect to monitoring diseases mainly associated with cardiovascular system, central nervous system, blood pressure, diabetes and lung associated disorders. The uses of mobile apps in android based cost effective devices have given a revolution in terms of faster and cheaper disease diagnosis and related researches. In recent times, the concept of M-Health (Mobile health) and E-Health (health care supported by ICT) have been useful in improving and assisting people’s health, one such Device is AliveCor heart monitor which is a mobile phone based electrocardiogram. Remote wearable ECG monitoring and Mbraintrain smart devices have received a great attention in the medical era. This chapter enlightens the basic methodology and uses of various wearable health monitoring devices which may or may not be associated with IOT.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Almeida, V.G., Nabney, I.T.: Early warnings of heart rate deterioration. In: International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pp. 940–943 (2016)
Anzanpour, A., Azimi, I., Götzinger, M., Rahmani, A.M., TaheriNejad, N., Liljeberg, P., Jantsch, A., Dutt, N.: Self-awareness in remote health monitoring systems using wearable electronics. In: Design, Automation & Test in Europe Conference & Exhibition (DATE), pp. 1056–1061. IEEE (2017)
TaheriNejad, N.: Comprehensive observation and its role in self-awareness; an emotion recognition system example. In: FedCSIS Position Papers (2016)
Holtzman, M., Arcelus, A., Goubran, R., Knoefel, F.: Highly survivable bed pressure mat remote patient monitoring system for mHealth. In: Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp. 268–271 (2012)
Eom, J., Jaisutti, R., Lee, H., Lee, W., Heo, J.S., Lee, J.Y., Park, S.K., Kim, Y.H.: Highly sensitive textile strain sensors and wireless user-interface devices using all-polymeric conducting fibers. ACS Appl. Mater. Interfaces 10190–10197 (2017)
Ge, G., Huang, W., Shao, J., Dong, X.: Recent progress of flexible and wearable strain sensors for human-motion monitoring. J. Semicond. (2018)
Waller, B.M., Cray, J.J., Burrows, A.M.: Selection for universal facial emotion. Emotion 435–439 (2008)
Liu, Y., Wang, H., Zhao, W., Zhang, M., Qin, H., Xie, Y.: Flexible, stretchable sensors for wearable health monitoring: sensing mechanisms, materials, fabrication strategies and features. Sensors 18, 645 (2018)
Yu, Y., Zhang, J., Liu, J.: Biomedical implementation of liquid metal ink as drawable ecg electrode and skin circuit. PLoS ONE 8(e58771), 83 (2013)
Patil, S., Pardeshi, S.: Health monitoring system using IoT. Int. Res. J. Eng. Technol. (IRJET) (2018)
Yamamoto, D., Nakata, S., Kanao, K., Arie, T., Akita, S., Takei, K.: All-printed, planar-type multi-functional wearable flexible patch integrated with acceleration, temperature, and ECG sensors. In: IEEE 30th International Conference on Micro Electro Mechanical Systems, pp. 239–242 (2017)
Fuicu, S., Avramescu, A., Lascu, D., Marcu, M., Padurariu, R.: Realtime e-health system for continuous care. In: Proceedings of the 8th International Conference on Pervasive Computing Technologies for Healthcare, pp. 436–439 (2014)
Hameed, R.T., Mohamad, O.A., Tapus, N.: Health monitoring system based on wearable sensors and cloud platform. In: 20th International Conference on System Theory, Control and Computing (ICSTCC), pp. 13–15 (2016)
Hameed, R.T., Mohamad, O.A., Hamid, O.T., Tapus, N.: Patient monitoring system based on e-health sensors and web services. In: 2016 Proceedings of the 8th International Conference on Electronics, Computers and Artificial Intelligence ECAI’16. (2016). ISSN: 1843-2115
Monicka, S., Suganya, C., Nithya Bharathi, S., Sindhu, A.P.: A ubiquitous based system for health care monitoring. Int. J. Sci. Res. Eng. Technol. (IJSRET) (2014). ISSN: 2278-0882
Meciak, V., Blaho, M., Mrafko, L., Mudrakova, T.: Sensor-based platform e-health connection with Matlab. Faculty of Electrical Engineering and Information Technology, Slovak University of Technology
Rakay, R., Visnovsky, M., Galajdova, A., Simsik, D.: Testing properties of e-health system based on Arduino. J. Autom. Control 122–126 (2015)
Hameed, R.T., Mohamad, O.A., Tapus, N.: Health monitoring system based on wearable sensors and cloud platform. In: 20th International Conference on System Theory, Control and Computing (ICSTCC), Sinaia, Romania, 13–15 Oct 2016
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this chapter
Cite this chapter
Rajendran, S. et al. (2019). An Update on Effective Patient Monitoring and Diagnosis of Diseases in the Current Scenario. In: Kumar, R., Wiil, U. (eds) Recent Advances in Computational Intelligence. Studies in Computational Intelligence, vol 823. Springer, Cham. https://doi.org/10.1007/978-3-030-12500-4_13
Download citation
DOI: https://doi.org/10.1007/978-3-030-12500-4_13
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-12499-1
Online ISBN: 978-3-030-12500-4
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)