Using hybrid printed electronics technology, Holst Centre has developed a wearable optical sensor by integrating silicon photodiodes with multiple light sources and readout electronics into a lightweight and flexible patch. By recording optical signals from the skin using light sources with different wavelengths, our patch simultaneously measures signals from different skin depths. This provides advantages to overcome significant challenges in the field.
Our current R&D is focused on photoplethysmography (PPG) by recording optical signals from the illumination of the human tissue. Morphological features from the PPG signal can be translated into cardiovascular parameters of interest such as heart rate, heart rate variability, respiratory rate and oxygen saturation (SpO2). With wearable sensors there is a demand for application with increased activity, however this causes significant motion artifacts, resulting in a reduction of the signal quality, which has a major impact on clinical reliability and accuracy.
Working in an interdisciplinary team of engineers and scientist (electrical engineering, material science, biomedical photonics) you will measure and analyse PPG signals using Holst Centre’s wearable optical sensor patch and existing software platforms. The focus will be to assess the signal quality of PPG with systematic assessment of determined motion artifacts. Following that, you will determine which improvements can be made within the wearable device design to reduce motion artifacts.
Gain a basic understanding of biomedical optics and of propagation of the light in the human tissue
Provide a literature review on state-of-the-art developments to reduce motion artifacts in optical devices
Develop methodologies to test motion artifacts and signal processing algorithms.
Acquire PPG signals with Holst Centre’s wearable optical patch and compare devices within specific methodologies
Set protocols to test functionality in specific motions
Conduct experiments and potential volunteer study
Communicate via presentations and report writing findings
As a team member your tasks will be:
Knowledge acquisition through literature survey, discussion with other team members, and internal seminars/colloquiums
Data acquisition through measurements
Analysis and presentation of experimental data
Documentation of results in a technical report or scientific publication
Presentation of results in internal seminars
A master’s degree in biomedical engineering, electrical engineering, physics, optics or related with both theoretical and experimental skills.
Knowledge in signal processing, filtering, calibration, data analysis using MATLAB/Python or other platforms
Experience in signal processing and algorithms development
You have good communication skills in English
Independent but also a team player
Affinity for biomedical photonics
Analytical skills – ability to make analysis of complex situation and make a plan forward