Abstract
IoT-based biomedical applications are used in biomedical systems such as healthcare, diagnostics, prevention, therapy and monitoring. In addition, healthcare studies are moving toward individualised measurement as a whole. Observed assessments in the laboratory/clinic must be replaced by more comprehensive evaluations. But traditional barriers to long-term free-lived assessment have been the high cost and complexity of equipment. Due to the lack of supervised conditions in free-living assessments, environmental analysis is needed to provide context to individual measurements. Biomedical engineers should be aware of the opportunities, challenges, and limitations presented by low-cost and easily accessible Internet of Things (IoT) technologies. In our biomedical research project, IoT hardware and software technologies have been used to extract quantitative data for comparison with cloud-based cognitive information. A custom interface shows patient-specific information, pathology details and user interaction results to increase the user experience.
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