TOPIC 425 - AUTOMATED MOTION EXTRACTION AND ANALYSIS TO QUANTIFY PATIENT PERFORMANCE STATUS

NIH RePORTER · NIH · N43 · $366,992 · view on reporter.nih.gov ↗

Abstract

The Karnofsky score (1948) and the Eastern Cooperative Group ECOG PS (1982) are the standard for patient PS assessment and used as a key determinant for entry into a clinical trial and the initiation or continuation of any interventional therapy. Cansera has demonstrated using image analysis of footage from RGB-D cameras to quantify PS as a predictive biomarker in cancer care. RGB-D cameras captured patients performing a physical task in a clinic and patient movement is analyzed to predict PS. The phase I SBIR proposal will address the following technical challenges: 1) creating a reproducible method for data acquisition and extraction from RGB-D cameras; 2) developing a strategy for anonymizing RGB-D image dataset for an open access library; and 3) establishing requirements and designing for different user groups. The successful completion of the project will enable commercial application for a reproducible anonymized method for data acquisition and image capture using a RGB-D camera to objectively measure human performance providing a quantitative solution.

Key facts

NIH application ID
10498300
Project number
75N91021C00051-0-9999-1
Recipient
CANSERA, INC.
Principal Investigator
LUCIANO NOCERA
Activity code
N43
Funding institute
NIH
Fiscal year
2021
Award amount
$366,992
Award type
Project period
2021-09-15 → 2022-06-14