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STWUR #11

Event:
STWUR #11
Event type:
Meetup
Category:
IT
Topic:
Date:
23.05.2019 (thursday)
Time:
18:00
Language:
English
Price:
Free
City:
Place:
Sala 1.03. Wydział Biotechnologii UWr
Address:
ul. Fryderyka Joliot-Curi e 14a
Speakers:
Description:

We invite you to the next R meeting (STWUR #11).


Talk will by given by: Marta Karaś.


A short biography of our prelengent:


I graduated from the Wrocław University of Technology, where I got my Bachelor and Masters in Mathematics at WPPT (2013, 2015). After graduation, I worked as a data analyst at Opera Software in Wrocław for one year, and spent one year in the United States working as a Research Assistant in the Department of Biostatistics at Indiana University. I am currently a PhD student in Biostatistics at Johns Hopkins Bloomberg School of Public Health in Baltimore, MD, USA. I specialize in analyzing data and developing methods for analyzing data from physical activity wearable sensors.


Title of the presentation:


Physical activity monitoring with wearable accelerometers: strides segmentation, gait pattern estimation and walking detection from free-living data in R. Also: highlights from RStudio 2019 conference.


Abstract:


The talk is oriented at general audience and does not assume familiarity with any statistical methods (a total of one equation may feature in the slides; basically, I plan to craft it in a way my parents may listen and get it!).


I plan to split my presentation into two parts. In the first part, I want to share about my current PhD program research, that is, developing methods to understand and quantify physical activity based on data collected with wearable sensors. Information from such devices is important as it can provide researchers with objective information about physical activity in large epidemiological studies or clinical trials (compared to, for example, bias-prone information from questionnaires). Specifically, we can leverage subsecond-level accelerometry data to characterize human gait. In one of my current projects, we focus on estimating gait pattern in post-stroke patients; in another project, I am working at methods for segmenting walking bouts from days, or weeks, of sensor monitoring data. In the second part of my presentation, I want to share about my personal favorites seen at RStudio conference I attended in Austin, TX in January 2019.

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