Cargando…
Automatic Detection and Characterization of Autonomic Dysreflexia Using Multi-Modal Non-Invasive Sensing and Neural Networks
Autonomic dysreflexia (AD) frequently occurs in persons with spinal cord injuries (SCIs) above the T6 level triggered by different stimuli below the level of injury. If improperly managed, AD can have severe clinical consequences, even possibly leading to death. Existing techniques for AD detection...
Autores principales: | Suresh, Shruthi, Everett, Thomas H., Shi, Riyi, Duerstock, Bradley S. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Mary Ann Liebert, Inc., publishers
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9718431/ https://www.ncbi.nlm.nih.gov/pubmed/36479362 http://dx.doi.org/10.1089/neur.2022.0041 |
Ejemplares similares
-
Feature Selection Techniques for a Machine Learning Model to Detect Autonomic Dysreflexia
por: Suresh, Shruthi, et al.
Publicado: (2022) -
Time and frequency domain analysis of physiological features during autonomic dysreflexia after spinal cord injury
por: Kirby, Ana Karina, et al.
Publicado: (2023) -
Automated Detection of Symptomatic Autonomic Dysreflexia Through Multimodal Sensing
Publicado: (2020) -
Autonomic Dysreflexia following Spinal Cord Injury
por: Balik, Vladimír, et al.
Publicado: (2022) -
Reversible cerebral vasoconstriction syndrome associated with autonomic dysreflexia
por: Edvardsson, Bengt, et al.
Publicado: (2010)