Eduard Kieser

I'm specifically interested in developing systems/products that use data to enable clinical decision support and in developing solutions for resource constrained settings (I'm South African, so this lies pretty close to my heart). 

Some of my favorite projects so far include:

• Developing an algorithm for detecting return of spontaneous circulation using only accelerator data in a emergency situation (For Philips patient care and Measurements, Eindhoven)

• Developing a set of optical sensors for the non-invasive assessment of dehydration in infants in a resource constrained setting. (Published 2 papers and a Masters Thesis on this topic, which I'm happy to share, if you would like a sample of my writing).

• Did extensive data analysis for the Safe Passage Study, which involved looking at the ECG and UA signals of thousands of pregnant mothers and their infants and evaluating a range of clinical hypotheses. While on the project I also pursued my own data-driven approach, which led to some novel observations relating to the interaction between HR variation and Uterine activity, which have not been published before. I also developed a classifier to predict early onset of labor based on the Uterine Activity signal, which performed better than other markers that were described in literature. (Papers to follow... eventually)

• I'm also developing a way of using OCR to rip data from ICU monitors and stream it to a central monitor to lessen the huge data-capture and management burden that exists in most wards that use heterogeneous and out-dated bedside and ICU monitors (this is still a work in progress).