Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Avinash Parnandi"'
Autor:
Boyang Yu, Aakash Kaku, Kangning Liu, Avinash Parnandi, Emily Fokas, Anita Venkatesan, Natasha Pandit, Rajesh Ranganath, Heidi Schambra, Carlos Fernandez-Granda
Publikováno v:
npj Digital Medicine, Vol 7, Iss 1, Pp 1-11 (2024)
Abstract Automatic assessment of impairment and disease severity is a key challenge in data-driven medicine. We propose a framework to address this challenge, which leverages AI models trained exclusively on healthy individuals. The COnfidence-Based
Externí odkaz:
https://doaj.org/article/1ddf15b7328c42eeb76a6aaeab726819
Autor:
Grace J. Kim, PhD, Amanda Gahlot, MS, Camile Magsombol, OTD, Margaret Waskiewicz, OTD, Nettie Capasso, MS, Stephen Van Lew, PhD, Hayejin Kim, MS, Avinash Parnandi, PhD, Victoria Vaughan Dickson, PhD, Yael Goverover, PhD
Publikováno v:
Archives of Rehabilitation Research and Clinical Translation, Vol 6, Iss 1, Pp 100316- (2024)
Objective: To determine the feasibility of a self-directed training protocol to promote actual arm use in everyday life. The secondary aim was to explore the initial efficacy on upper extremity (UE) outcome measures. Design: Feasibility study using m
Externí odkaz:
https://doaj.org/article/bb66984b49d948d989aca1800d24ca0e
Autor:
Avinash Parnandi, Aakash Kaku, Anita Venkatesan, Natasha Pandit, Emily Fokas, Boyang Yu, Grace Kim, Dawn Nilsen, Carlos Fernandez-Granda, Heidi Schambra
Publikováno v:
Bioengineering, Vol 10, Iss 6, p 648 (2023)
Stroke commonly affects the ability of the upper extremities (UEs) to move normally. In clinical settings, identifying and measuring movement abnormality is challenging due to the imprecision and impracticality of available assessments. These challen
Externí odkaz:
https://doaj.org/article/719b3608b75242bc9ff31a84ba118fe7
Autor:
Avinash Parnandi, Aakash Kaku, Anita Venkatesan, Natasha Pandit, Audre Wirtanen, Haresh Rajamohan, Kannan Venkataramanan, Dawn Nilsen, Carlos Fernandez-Granda, Heidi Schambra
Publikováno v:
PLOS Digital Health, Vol 1, Iss 6, p e0000044 (2022)
Stroke rehabilitation seeks to accelerate motor recovery by training functional activities, but may have minimal impact because of insufficient training doses. In animals, training hundreds of functional motions in the first weeks after stroke can su
Externí odkaz:
https://doaj.org/article/3a31e0609a8e4dfba73e3d52b9b83593
Autor:
Rodrigo Colnago Contreras, Avinash Parnandi, Bruno Gomes Coelho, Claudio Silva, Heidi Schambra, Luis Gustavo Nonato
Publikováno v:
Sensors, Vol 21, Iss 13, p 4482 (2021)
A large number of stroke survivors suffer from a significant decrease in upper extremity (UE) function, requiring rehabilitation therapy to boost recovery of UE motion. Assessing the efficacy of treatment strategies is a challenging problem in this c
Externí odkaz:
https://doaj.org/article/ae0fa7c5b55c418294d6d7f91308e08a
Publikováno v:
Frontiers in Neurology, Vol 10 (2019)
Recent advances in wearable sensor technology and machine learning (ML) have allowed for the seamless and objective study of human motion in clinical applications, including Parkinson's disease, and stroke. Using ML to identify salient patterns in se
Externí odkaz:
https://doaj.org/article/d1a5add3204e42b0b9e286e4ad551e53
Autor:
Heidi M. Schambra, Avinash Parnandi, Natasha G. Pandit, Jasim Uddin, Audre Wirtanen, Dawn M. Nilsen
Publikováno v:
Frontiers in Neurology, Vol 10 (2019)
Background: Functional upper extremity (UE) motion enables humans to execute activities of daily living (ADLs). There currently exists no universal language to systematically characterize this type of motion or its fundamental building blocks, called
Externí odkaz:
https://doaj.org/article/45c8a9264e6147039b03e3c1a48689ae
Publikováno v:
IEEE Transactions on Affective Computing. 12:141-153
This paper investigates the effect of reinforcement schedules on biofeedback games for stress self-regulation. In particular, it examines whether partial reinforcement can improve resistance to extinction of relaxation behaviors, i.e., once biofeedba
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f9aba8922daba90933e17988c7efe4ea
https://doi.org/10.1109/taffc.2018.2842727
https://doi.org/10.1109/taffc.2018.2842727
Autor:
Avinash Parnandi, Aakash Kaku, Anita Venkatesan, Natasha Pandit, Audre Wirtanen, Haresh Rajamohan, Kannan Venkataramanan, Dawn Nilsen, Carlos Fernandez-Granda, Heidi Schambra
Stroke rehabilitation seeks to accelerate motor recovery by training functional activities, but may have minimal impact because of insufficient training doses. In animals, training hundreds of functional motions in the first weeks after stroke can su
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cbbcc60d01eadd3e847bfecb412aa98a
Autor:
Aakash, Kaku, Avinash, Parnandi, Anita, Venkatesan, Natasha, Pandit, Heidi, Schambra, Carlos, Fernandez-Granda
Publikováno v:
Proc Mach Learn Res
Recovery after stroke is often incomplete, but rehabilitation training may potentiate recovery by engaging endogenous neuroplasticity. In preclinical models of stroke, high doses of rehabilitation training are required to restore functional movement
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::def6fe0b0514f7b7f8befe4759ff056f
https://pubmed.ncbi.nlm.nih.gov/34337420
https://pubmed.ncbi.nlm.nih.gov/34337420