All talks

Aug 25, 2020

2024

  • Innovative Approaches to Sensor Measurements in Patients with ALS, talk, Digital Health & AI Innovation Summit, Oct 9, 2024, Boston, MA, USA.
    Slides

  • Functional regression methods for estimating 24-hour ambulatory blood pressure and heart rate parameters in narcolepsy type 1, talk, JSM, Aug 7, 2024, Portland, OR, USA.

  • Improved phenotyping between narcolepsy type 1, type 2 and idiopathic hypersomnia through classification and clustering methods applied to polysomnography, talk, SLEEP 2024, June 3, 2024, Houston, TX, USA.

  • Recent advancements in digital assessment in ALS, poster, The 2nd Digital Biomarker Summit, May 14, 2024, Tarrytown, NY, 2024.
    Poster

2023

  • Wearable device and smartphone data for tracking ALS disease progression, talk, Digital Health Innovation Summit, July 7, 2023, San Francisco, CA, USA.
    Slides

2022

  • Wearable devices can track ALS disease progression and may serve as novel clinical trial outcome measures, poster, ActiGraph Digital Data Summit 2022, Nov 13, 2022, Pensacola Beach, FL, USA.

  • Comparison of accelerometry-based measures of physical activity, talk, JSM, Aug 8, 2023, Washington, DC, USA.
    Slides

  • Smartphone devices data in health research: opportunities and challenges, talk, Wearable and Implantable Technology group meeting (Department of Biostatistics, Johns Hopkins University), Mar 4, 2022, virtual.
    Slides

2021

  • Harmonization of open-source and proprietary accelerometry-based physical activity measures, talk, 3rd Annual Health Data Science Symposium: Smartphones, Wearables, and Health, Nov 5, 2021, Boston, MA, USA.

  • Statistical methods and modeling of person-generated health data from wearable and mobile devices, talk, Onnela Lab meeting (Department of Biostatistics, Harvard University), Jul 28, 2021, virtual.

  • Accelerometry-based physical activity measures across NHANES waves. Comparison of five minute-level measures: AC, MIMS, ENMO, MAD, AI, talk, Wearable and Implantable Technology group meeting (Department of Biostatistics, Johns Hopkins University), May 13, 2021, virtual.

  • National Health and Nutrition Examination Survey (NHANES) and comparability of accelerometry-derived physical activity measures across NHANES waves, talk, ENGAGE lab meeting (Department of Epidemiology, Johns Hopkins University), May 6, 2021, virtual.

  • Comparison of accelerometry-derived physical activity summary measures by age, sex, and BMI, talk, The Epidemiology and Biostatistics of Aging (EBA) Training Program: 6th Annual Joint Presentation of the SMART/ WIT, ENGAGE, and BHS Lab groups, Apr 27, 2021, virtual.
    Video

2020

  • Estimation of free-living walking cadence from wrist-worn sensor accelerometry data and its association with SF-36 quality of life scores, talk, CMStatistics 2020, Dec 20, 2020, virtual.

  • arctools R package: Processing and physical activity summaries of minute level activity data, talk, Wearable and Implantable Technology group meeting (Department of Biostatistics, Johns Hopkins University), Dec 17, 2020, virtual.
    Code | Slides

  • Predicting subjective recovery from lower limb surgery using consumer wearables, talk, Workshop ‘The Future of Digital Health’, Dec 8, 2020, virtual.
    Slides | Video

  • Recent developments in R tidyverse, talk, Computing Club (Department of Biostatistics, Johns Hopkins University), Dec 1, 2020, virtual.
    Slides | Video

  • Summer internship project: Predicting subjective recovery from lower limb surgery using consumer wearables, talk, Wearable and Implantable Technology group meeting (Department of Biostatistics, Johns Hopkins University), Sep 30, 2020, virtual.

  • Novel approach for precise walking cadence estimation from high-density tri-axial accelerometry data collected at wrist in free-living, talk, 41st Annual Conference of the International Society for Clinical Biostatistics, Aug 27, 2020, virtual.

  • arctools: R software for computing summaries of minute-level physical activity data, talk, ENGAGE lab meeting (Department of Epidemiology, Johns Hopkins University), Jun 4, 2020, virtual.

  • Precise walking strides segmentation from raw accelerometry data: ADEPT method, talk, Webinar for OSS developers in physical behavior field, Mar 11, 2020, virtual.
    Code | Slides

  • Towards precise walking strides segmentation from accelerometry data in free-living: ADEPT method and further developments, talk, BIRS: Use of Wearable and Implantable Devices in Health Research, Feb 25, 2020, Banff, Alberta, Canada.

2019

  • Functional registration of walking strides in high-density accelerometry data for estimation of gait asymmetry, talk, CFE-CMStatistics 2019 conference, Dec 16, 2019, London, UK.

  • Methods for fast processing of time-series: runstats R package, talk, Webinar for OSS developers in physical behavior field, Nov 5, 2019, virtual.
    Code | Slides

  • Considerations in statistical modeling of walking features derived from wrist-worn sensor in free-living, talk, Wearable and Implantable Technology group meeting (Department of Biostatistics, Johns Hopkins University), Oct 31, 2019, Baltimore, MD, USA.

  • Overview of JHU Biostat Wearable and Implantable Technology (WIT) working group research, talk, Journal Club (Department of Biostatistics, Johns Hopkins University), Oct 15, 2019, Baltimore, MD, USA.
    Slides

  • Walking measurements derived from free-living wrist-worn sensor as novel digital endpoints, talk, Novartis 2019 US Analytics Conference - Digital Endpoint Analytics Session, Oct 8, 2019, East Hanover, NJ.

  • Automatic estimation of step asymmetry in a split-belt treadmill experiment using high-resolution accelerometry data, talk, ICAMPAM 2019 conference, Jun 26, 2019, Maastricht, the Netherlands.

  • 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., talk, STWUR 11: Physical activity monitoring with wearable accelerometers, May 23, 2019, Wroclaw, Poland.

  • Stride segmentation and stride pattern estimation based on accelerometry data, talk, Motion Analysis Laboratory meeting, May 14, 2019, Baltimore, MD, USA.

  • Simulation experiment project for Seminar on Adaptive Clinical Trials, talk, PhD Seminar on Adaptive Clinical Trials (Department of Biostatistics, Johns Hopkins University), Apr 17, 2019, Baltimore, MD, USA.
    Slides

  • Some of the topics seen at RStudio conference 2019, talk, Computing Club (Department of Biostatistics, Johns Hopkins University), Feb 12, 2019, Baltimore, MD, USA.
    Slides

2018

  • ADaptive Empirical Pattern Transformation (ADEPT) with application to walking stride segmentation, talk, JSM 2018, Aug 1, 2018, Vancouver, Canada.

  • Wearable accelerometers, accelerometry data and automatic steps segmentation in R: strideter and convo R packages, talk, Why R? 2018 Conference, Jul 3, 2018, Wroclaw, Poland.

Marta Karas
Marta Karas
Senior Manager, Statistics