The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
A Cloud Computing Solution for Patient's Data Collection in Health Care Institutions
Abstract
Existing processes for patients' vital data collection require a great deal of labor work to collect, input and analyze the information. These processes are usually slow and error-prone, introducing a latency that prevents real-time data accessibility. This scenario restrains the clinical diagnostics and monitoring capabilities. We propose a solution to automate this process by using ¿sensors¿ attached to existing medical equipments that are inter-connected to exchange service. The proposal is based on the concepts of utility computing and wireless sensor networks. The information becomes available in the ¿cloud¿ from where it can be processed by expert systems and/or distributed to medical staff. The proof-of-concept design applies commodity computing integrated to legacy medical devices, ensuring cost-effectiveness and simple integration.
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Citations
Cites
Mobile monitoring with wearable photoplethysmographic biosensors
Asada, H. H., Shaltis, P., Reisner, A., Rhee, S., & Hutchinson, R. C. (2003) · IEEE Engineering in Medicine and Biology Magazine · doi:10.1109/memb.2003.1213624 · Cited by 466
Cited by
Yue, X., Wang, H., Jin, D., Li, M., & Jiang, W. (2016) · Journal of Medical Systems · doi:10.1007/s10916-016-0574-6 · Cited by 1,240
Hassanalieragh, M., Page, A., Soyata, T., Sharma, G., Aktas, M., Mateos, G., Kantarci, B., & Andreescu, S. (2015) · 2015 IEEE International Conference on Services Computing · doi:10.1109/scc.2015.47 · Cited by 787
Unobtrusive Sensing and Wearable Devices for Health Informatics
Zheng, Y.-L., Ding, X.-R., Poon, C. C. Y., Lo, B. P. L., Zhang, H., Zhou, X.-L., Yang, G.-Z., Zhao, N., & Zhang, Y.-T. (2014) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2014.2309951 · Cited by 722
Aceto, G., Persico, V., & Pescapé, A. (2018) · Journal of Network and Computer Applications · doi:10.1016/j.jnca.2018.02.008 · Cited by 504
Privacy-friendly platform for healthcare data in cloud based on blockchain environment
Omar, A. A., Bhuiyan, M. Z. A., Basu, A., Kiyomoto, S., & Rahman, M. S. (2019) · Future Generation Computer Systems · doi:10.1016/j.future.2018.12.044 · Cited by 404
Metadata
- Authors
- Rolim, C. O., Koch, F. L., Westphall, C. B., Werner, J., Fracalossi, A., & Salvador, G. S.
- Venue
- 2010 Second International Conference on eHealth, Telemedicine, and Social Medicine
- Publisher
- IEEE
- Published
- 2010-02
- Pages
- 95-99
- OpenAlex
- W2108282337
- Cited by
- 409
- References
- 1
- FWCI
- 20.82
- Type
- conference paper
- Language
- en
- Open access
- closed
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- The paper
- Rolim, C. O., Koch, F. L., Westphall, C. B., Werner, J., Fracalossi, A., & Salvador, G. S. (2010). A Cloud Computing Solution for Patient's Data Collection in Health Care Institutions. 2010 Second International Conference on eHealth, Telemedicine, and Social Medicine. https://doi.org/10.1109/etelemed.2010.19
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
