The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.
Development of Smart Healthcare Monitoring System in IoT Environment
Open accessAbstract
Healthcare monitoring system in hospitals and many other health centers has experienced significant growth, and portable healthcare monitoring systems with emerging technologies are becoming of great concern to many countries worldwide nowadays. The advent of Internet of Things (IoT) technologies facilitates the progress of healthcare from face-to-face consulting to telemedicine. This paper proposes a smart healthcare system in IoT environment that can monitor a patient’s basic health signs as well as the room condition where the patients are now in real-time. In this system, five sensors are used to capture the data from hospital environment named heart beat sensor, body temperature sensor, room temperature sensor, CO sensor, and CO2 sensor. The error percentage of the developed scheme is within a certain limit (< 5%) for each case. The condition of the patients is conveyed via a portal to medical staff, where they can process and analyze the current situation of the patients. The developed prototype is well suited for healthcare monitoring that is proved by the effectiveness of the system.
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Cites
Internet of Things for Smart Cities
Zanella, A., Bui, N., Castellani, A., Vangelista, L., & Zorzi, M. (2014) · IEEE Internet of Things Journal · doi:10.1109/jiot.2014.2306328 · Cited by 6,292
The Internet of Things for Health Care: A Comprehensive Survey
Riazul Islam, S. M., Kwak, D., Humaun Kabir, M., Hossain, M., & Kwak, K.-S. (2015) · IEEE Access · doi:10.1109/access.2015.2437951 · Cited by 3,095
Internet-of-Things (IoT)-Based Smart Agriculture: Toward Making the Fields Talk
Ayaz, M., Ammad-Uddin, M., Sharif, Z., Mansour, A., & Aggoune, E.-H. M. (2019) · IEEE Access · doi:10.1109/access.2019.2932609 · Cited by 1,306
Smart Factory of Industry 4.0: Key Technologies, Application Case, and Challenges
Chen, B., Wan, J., Shu, L., Li, P., Mukherjee, M., & Yin, B. (2018) · IEEE Access · doi:10.1109/access.2017.2783682 · Cited by 1,135
Attack and anomaly detection in IoT sensors in IoT sites using machine learning approaches
Hasan, M., Islam, M. M., Zarif, M. I. I., & Hashem, M. M. A. (2019) · Internet of Things · doi:10.1016/j.iot.2019.100059 · Cited by 841
Self-citationA smart home energy management system using IoT and big data analytics approach
Al-Ali, A. R., Zualkernan, I. A., Rashid, M., Gupta, R., & Alikarar, M. (2017) · IEEE Transactions on Consumer Electronics · doi:10.1109/tce.2017.015014 · Cited by 670
A Survey of Smart Parking Solutions
Lin, T., Rivano, H., & Le Mouel, F. (2017) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2017.2685143 · Cited by 545
Oresko, J. J., Jin, Z., Cheng, J., Huang, S., Sun, Y., Duschl, H., & Cheng, A. C. (2010) · IEEE Transactions on Information Technology in Biomedicine · doi:10.1109/titb.2010.2047865 · Cited by 446
Analysis of Three IoT-Based Wireless Sensors for Environmental Monitoring
Mois, G., Folea, S., & Sanislav, T. (2017) · IEEE Transactions on Instrumentation and Measurement · doi:10.1109/tim.2017.2677619 · Cited by 321
Ayon, S. I., Islam, M. M., & Hossain, M. R. (2022) · IETE Journal of Research · doi:10.1080/03772063.2020.1713916 · Cited by 257
Self-citation
Cited by
Breast Cancer Prediction: A Comparative Study Using Machine Learning Techniques
Islam, M. M., Haque, M. R., Iqbal, H., Hasan, M. M., Hasan, M., & Kabir, M. N. (2020) · SN Computer Science · doi:10.1007/s42979-020-00305-w · Cited by 361
Self-citationA Review on Deep Learning Techniques for the Diagnosis of Novel Coronavirus (COVID-19)
Islam, M. M., Karray, F., Alhajj, R., & Zeng, J. (2021) · IEEE Access · doi:10.1109/access.2021.3058537 · Cited by 292
Self-citationRecent Advances on IoT-Assisted Wearable Sensor Systems for Healthcare Monitoring
Mamdiwar, S. D., R, A., Shakruwala, Z., Chadha, U., Srinivasan, K., & Chang, C.-Y. (2021) · Biosensors · doi:10.3390/bios11100372 · Cited by 258
Metadata
- Authors
- Islam, M. M., Rahaman, A., & Islam, M. R.
- Venue
- SN Computer Science
- Published
- 2020-05
- Volume
- 1
- Issue
- 3
- Pages
- 185-185
- ISSN
- 2661-8907 (ISSN-L)
- 2662-995X
- OpenAlex
- W3031935524
- Cited by
- 592
- References
- 19
- FWCI
- 88.10
- Type
- journal article
- Language
- en
- Open access
- bronze
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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