Scholarship 19/06551-5 - Acidente vascular cerebral, Aprendizado computacional - BV FAPESP
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Machine-learning-based biomarkers towards customization of robotic rehabilitation treatments

Grant number: 19/06551-5
Support Opportunities:Scholarships abroad - Research Internship - Doctorate
Start date until: September 01, 2019
End date until: August 31, 2020
Field of knowledge:Physical Sciences and Mathematics - Computer Science - Computer Systems
Principal Investigator:Alexandre Cláudio Botazzo Delbem
Grantee:Caio Benatti Moretti
Supervisor: Hermano Igo Krebs
Host Institution: Instituto de Ciências Matemáticas e de Computação (ICMC). Universidade de São Paulo (USP). São Carlos , SP, Brazil
Institution abroad: Massachusetts Institute of Technology (MIT), United States  
Associated to the scholarship:18/26493-7 - Progress assessment of Stroke patients in robotic rehabilitation treatments, BP.DR

Abstract

Coupled with sensors, robotic devices for Stroke rehabilitation describe the motor behavior of patients as kinematic and dynamic data, which are underexplored in the machine learning context, due to the time-consuming task of pursuing enough data volume. Moreover, the establishment of means for a quantitative assessment of patient progress, as well as whether data volume is large enough for solid learning guarantees remain unclear. Pondered by premises from Statistical Learning Theory, this research project proposes the definition of machine-learning-based biomarkers for assessing the patient progress during the treatment. The pathology severity, interpreted as the uncertainty in binary classification between left and right hemiparesis are to be exploited towards grounds for the assumption that pathological features, in data, attenuate over time, as an evidence of patient recovery.

News published in Agência FAPESP Newsletter about the scholarship:
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Scientific publications
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
MORETTI, CAIO B.; DELBEM, ALEXANDRE C. B.; KREBS, HERMANO, I; IEEE. Human-Robot Interaction: Kinematic and Kinetic Data Analysis Framework. 2020 8TH IEEE RAS/EMBS INTERNATIONAL CONFERENCE FOR BIOMEDICAL ROBOTICS AND BIOMECHATRONICS (BIOROB), v. N/A, p. 5-pg., . (19/06551-5)

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