Unobtrusive Sensor Systems for Physiological and Behavioral Monitoring: Methodology and Development

The proposed methodology for this research project will involve several key steps. First, a literature review will be conducted to identify existing wearable sensing and non-contact sensing techniques, as well as new sensing materials and embedded systems that can be utilized for biomedical data acquisition and processing. This review will also include examining lightweight AI algorithms and software that can be implemented in embedded sensor systems for intelligent healthcare applications.
Following the literature review, the candidate will design and develop prototypes of wearable sensor systems. These systems will incorporate the identified sensing techniques, materials, and embedded systems to enable the monitoring of physiological and behavioral data such as EEG, ECG, EOG, EMG, respiration, SpO2, temperature, and activities.
The materials and equipment required for this research will include sensors, electrodes, conductive materials, microcontrollers, wireless communication modules, and data processing units. Additionally, the candidate may need access to a laboratory or workspace equipped with tools for prototyping and testing the sensor systems. This space should also have the necessary infrastructure for data collection and analysis.
Once the prototypes of the wearable sensor systems are developed, the candidate will conduct experiments to evaluate their performance in real-world scenarios. This will involve recruiting participants and collecting data during activities such as sleep monitoring, neonatal monitoring, or smart rehabilitation. The collected data will be processed using the proposed lightweight AI algorithms and software to extract relevant information and derive meaningful insights.
The analysis of the collected data will involve statistical analysis, signal processing techniques, and machine learning algorithms. The candidate will assess the accuracy, reliability, and usability of the developed sensor systems in the identified healthcare applications.
Overall, this research will follow a systematic approach that includes literature review, prototype development, data collection, data analysis, and evaluation. The candidate will utilize a range of materials and equipment to create and test the wearable sensor systems, and will require a suitable space or laboratory for conducting experiments and data analysis.