Events
DMS Statistics and Data Science Seminar |
| Time: Oct 22, 2020 (02:00 PM) |
| Location: ZOOM |
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Details: Speaker: Whitney Huang (School of Mathematical and Statistical Sciences, Clemson University) Title: Airflow Recovery from Thoracic and Abdominal Movements using Synchrosqueezing Transform and Locally Stationary Gaussian Process Regression
Abstract: Airflow signal encodes rich information about the respiratory system. While the gold standard for measuring airflow is to use a spirometer with an occlusive seal, this is not practical for ambulatory monitoring of patients. Advances in sensor technology have made measurement of motion of the thorax and abdomen feasible with small inexpensive devices, but estimation of airflow from these time series is challenging. We propose to use a nonlinear-type time-frequency analysis tool, synchrosqueezing transform, to properly represent the thoracic and abdominal movement signals as the features, which are used to recover the airflow by a locally stationary Gaussian process. We show that, using a dataset that contains respiratory signals under normal sleep conditions, an accurate prediction can be achieved by fitting the proposed model in the feature space both in the intra- and inter-subject setups. We also apply our method to a more challenging case, where subjects under general anesthesia underwent transitions from pressure support to unassisted ventilation to further demonstrate the utility of the proposed method.
This is joint work with Yu-Min Chung (Math and Stat, UNC-Greensboro), Yu-Bo Wang (SMSS, Clemson), Jeff Mandel (Anesthesiology & Critical Care, UPenn), and Hau-Tieng Wu (Math and Stat, Duke).
The preprint of this work can be found at https://arxiv.org/pdf/2008.04473.pdf
Seminar website (which also contains the links for the recordings of the seminars): http://webhome.auburn.edu/~ezc0066/stat-datasci-seminar.html
Join from PC, Mac, Linux, iOS or Android: https://auburn.zoom.us/j/93758346031
Elvan Ceyhan is inviting you to a scheduled Auburn University Zoom e-meeting. If you're a new participant, we have a quick start guide here: https://aub.ie/zoomquickstart
Topic: Statistics & Data Science Seminar Time: Oct 22, 2020 02:00 PM Central Time (US and Canada)
Join from PC, Mac, Linux, iOS or Android: https://auburn.zoom.us/j/93758346031 Connect using Computer/Device audio if possible.
Or Telephone: Meeting ID: 937 5834 6031 Dial: +1 646 876 9923 (US Toll) or +1 301 715 8592 (US Toll)
Or an H.323/SIP room system: H.323: 162.255.37.11 (US West) or 162.255.36.11 (US East) Meeting ID: 937 5834 6031
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