Cargando…
Interaction of network and rehabilitation therapy parameters in defining recovery after stroke in a Bilateral Neural Network
BACKGROUND: Restoring movement after hemiparesis caused by stroke is an ongoing challenge in the field of rehabilitation. With several therapies in use, there is no definitive prescription that optimally maps parameters of rehabilitation with patient condition. Recovery gets further complicated once...
Autores principales: | Elango, Sundari, Francis, Amal Jude Ashwin, Chakravarthy, V. Srinivasa |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9762011/ https://www.ncbi.nlm.nih.gov/pubmed/36536385 http://dx.doi.org/10.1186/s12984-022-01106-3 |
Ejemplares similares
-
A Cortico- Basal Ganglia Model for choosing an optimal rehabilitation strategy in Hemiparetic Stroke
por: Narayanamurthy, Rukhmani, et al.
Publicado: (2019) -
A convolutional neural network model of the neural responses of inferotemporal cortex to complex visual objects
por: Rohit, Satish, et al.
Publicado: (2011) -
Artificial neurovascular network (ANVN) to study the accuracy vs. efficiency trade-off in an energy dependent neural network
por: Kumar, Bhadra S., et al.
Publicado: (2021) -
Stroke recovery phenotyping through network trajectory approaches and graph neural networks
por: Krishnagopal, Sanjukta, et al.
Publicado: (2022) -
A Complex-Valued Oscillatory Neural Network for Storage and Retrieval of Multidimensional Aperiodic Signals
por: Biswas, Dipayan, et al.
Publicado: (2021)