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projects:year9:9a.015.sbu

9a.015.SBU - Data Collection on Remote Telehealth

Project - Summary

GOALS & OBJECTIVES

  • Develop a framework for collecting image, video and voice data from a dynamic scene with multiple cameras and multiple microphones.
  • Collect the data from a Medpod Remote Telemedicine Cart with interaction between a medical provider and a patient.
  • Develop machine learning algorithms for differentiating humans from background objects in an image.
  • Develop machine learning algorithms for differentiating humans from background objects in a video.
  • Develop NLP algorithms for differentiating human speech from background noise in an audio stream.

Project - Team

Team Member Role Email Phone Number Academic Site/IAB
Arie Kaufman PI ari@cs.stonybrook.edu (631) 632-8441 Stony Brook University
Dimitris Samaras Co-PI samaras@cs.stonybrook.edu (631) 632-8464 Stony Brook University
Minh Hoai Nguyen Co-PI minhhoai@cs.stonybrook.edu (631) 632-8460 Stony Brook University
N. Balasubramanian Co-PI niranjan@cs.stonybrook.edu (631) 632-2457 Stony Brook University
Shawn Mathew Student shawmathew@cs.stonybrook.edu (516) 306-1876 Stony Brook University
Eugenia Soroka Student N/A N/A Stony Brook University
Viresh Ranjan Student vranjan@cs.stonybrook.edu N/A Stony Brook University
Heeyoung Kwon Student heekwon@cs.stonybrook.edu (631) 260-3441 Stony Brook University
Shahrukh Athar Student N/A N/A Stony Brook University
Parmida Ghahremani Student N/A N/A Stony Brook University
Vinh Quang Tran Student N/A N/A Stony Brook University
Yicheng Lin Student N/A N/A Stony Brook University
Lou Lavino Project Mentor llavino@medpodinc.com (631) 291-1233 Medpod
Funded by: Medpod

Project - Novelty of Approach

Telemedicine devices are a few and data collection of images, video and sound streams are uncommon and unavailable. These devices have the potential to break the boundaries of traditional care. This project will provide such a collection with differentiating foreground from background image, video and sound.

Project - Deliverables

Deliverables
1 Framework for data collection from multiple videos
2 Framework for data collection from multiple microphones
3 Algorithms differentiating humans from background in imaging
4 Algorithms differentiating speech from background

Project - Benefits to IAB

Remote telehealth is critical for remote and isolated areas as well as in contaminated regions, as evidenced from COVID-19 situations. It also be used for extending practice reach, health professional shortage areas (HPSAs), hub and spoke operations, healthcare microsite, resource load balancing, improving workflow, expanding on-site point-of-care options, managing work/life balance, home hospitalization, etc. The telemedicine devices come fully equipped to deliver primary care functions and can be typically outfitted to manage advanced specialty care as well. Therefore, development of telemedicine technologies are paramount.

Project - Documents

projects/year9/9a.015.sbu.txt · Last modified: 2022/08/31 15:48 by sally.johnson