Non-Invasive Data Acquisition and IoT Solution for Human Vital Signs Monitoring: Applications, Limitations and Future...

Area of Science:

• Biomedical Engineering
• Health Informatics
• Internet of Things

Background:

• Technological advancements are revolutionizing healthcare with smart applications in various settings.
• Smart healthcare enhances patient-provider relationships through remote diagnostics and continuous monitoring.

Purpose of the Study:

• To review non-invasive vital data acquisition and IoT in healthcare informatics.
• To identify challenges and suggest future work for IoT and non-invasive vital data acquisition.

Main Methods:

• Comprehensive literature review of non-invasive vital data acquisition.
• Analysis of Internet of Things applications in healthcare informatics.
• Identification of challenges in current systems.

Main Results:

• Challenges exist in developing multi-frequency vital IoT systems for broader reach.
• Multi-camera systems show potential for increased vital data accuracy but require further development.
• Deep learning on edge devices can enable real-time, offline analysis and decision-making.
• Integration of power management and energy harvesting in non-invasive systems is largely overlooked.

Conclusions:

• Addressing multi-frequency vital IoT systems is crucial for improved connectivity.
• Further development of multi-camera systems can enhance vital data acquisition accuracy.
• Edge-based deep learning offers potential for instant, offline health decisions.
• Integrating sustainable power solutions is key to creating robust, self-powered smart healthcare systems.