Erik Reinertsen     Blog     Research     Teaching     Tech     Talks

Digital sensors in smartphones and wearables measure huge quantities of data, such as heart rate (HR) and accelerometry time series.

However, simple metrics such as resting HR and total step count do not describe structure, complexity, or how information varies with time scale or transfers between different signals.

In my PhD I used machine learning, statistics, and information theory to show classification of illness using features from HR and activity time series is improved by considering information over several time scales and between signals.

My advisor was Gari Clifford, DPhil. We patented some of our work and licensed it to a medical technology company.

I also published papers on medical education, neuro-oncology, plastic surgery, and biomaterials.

Papers

Also see my Google Scholar page.

  • Erik Reinertsen, Stuart G Neill, Kambiz Nael, Daniel J Brat, and Costas G Hadjipanayis. Meningioma with tyrosine-rich crystalloids: a case report and review of the literature. International Journal of Surgical Pathology. 2017. [Link] [PDF]

  • Erik Reinertsen, Arun Mohan, and Angela Fusaro. An elective course for medical students on innovation and entrepreneurship. bioRxiv. 2017. [Link] [PDF]

  • Erik Reinertsen, Maxim Osipov, Chengyu Liu, John M Kane, Georgios Petrides, and Gari D Clifford. Continuous assessment of schizophrenia using heart rate and accelerometer data. Physiological Measurement. 2017. [Link] [PDF]

  • Erik Reinertsen, Shamim Nemati, Adriana N Vest, Viola Vaccarino, Rachel Lampert, Amit J Shah, and Gari D Clifford. Heart rate-based window segmentation improves accuracy of classifying posttraumatic stress disorder using heart rate variability measures. Physiological Measurement. 2017. [Link] [PDF]

  • Ariadne K DeSimone, John P Haydek, Christopher L Sudduth, Vincent LaBarbara, Yaanik Desai, Erik Reinertsen, and Kimberly D Manning. Encouraging Student Interest in Teaching Through a Medical Student Teaching Competition. Academic Medicine. 2017. [Link] [PDF]

  • Emma Celano, Arsalaan Salehani, James G Malcolm, Erik Reinertsen, and Constantinos G Hadjipanayis. Spinal cord ependymoma: a review of the literature and case series of ten patients. Journal of Neurooncology. 2016. [Link] [PDF]

  • Ming Lee, Evan McClure, Erik Reinertsen, and Jay W Granzow. Lymphedema of the Upper Extremity following Supraclavicular Lymph Node Harvest. Plastic and Reconstructive Surgery. 2015. [Link] [PDF]

  • Ming Lee, Erik Reinertsen, Evan Mcclure, Shuling Liu, Lisa Kruper, Neil Tanna, J Brian Boyd, and Jay W Granzow. Surgeon motivations behind the timing of breast reconstruction in patients requiring postmastectomy radiation therapy. Journal of Plastic, Reconstructive, and Aesthetic Surgery. 2015. [Link] [PDF]

  • Erik Reinertsen, Michael Skinner, Benjamin M Wu, and Bill Tawil. Concentration of fibrin and presence of plasminogen affect proliferation, fibrinolytic activity, and morphology of human fibroblasts and keratinocytes in 3D fibrin constructs. Tissue Engineering Part A. 2014. [Link] [PDF]

Techniques

  • Data visualization
  • ECG and accelerometer data analysis
  • Information & graph theory
  • Rest-activity characteristics of accelerometer data
  • Heart rate variability measures
  • Cross-validation, feature selection, and regularization
  • Regression, clustering, and supervised learning algorithms

Software

Matlab, Python, Unix, , HTML/CSS/JS

Check out my GitHub, although most repos are currently private.

Advisors & collaborators