Cargando…
Data-Driven Prediction of Freezing of Gait Events From Stepping Data
Freezing of gait (FoG) is typically a symptom of advanced Parkinson's disease (PD) that negatively influences the quality of life and is often resistant to pharmacological interventions. Novel treatment options that make use of auditory or sensory cues might be optimized by prediction of freezi...
Autores principales: | Parakkal Unni, Midhun, Menon, Prathyush P., Livi, Lorenzo, Wilson, Mark R., Young, William R., Bronte-Stewart, Helen M., Tsaneva-Atanasova, Krasimira |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8757792/ https://www.ncbi.nlm.nih.gov/pubmed/35047881 http://dx.doi.org/10.3389/fmedt.2020.581264 |
Ejemplares similares
-
Ankle Push-Off Based Mathematical Model for Freezing of Gait in Parkinson's Disease
por: Parakkal Unni, Midhun, et al.
Publicado: (2020) -
Editorial: Data-driven technologies for future healthcare systems
por: Rahman, Md Anisur, et al.
Publicado: (2023) -
Gait Parameters Measured from Wearable Sensors Reliably Detect Freezing of Gait in a Stepping in Place Task
por: Diep, Cameron, et al.
Publicado: (2021) -
Editorial: Innovation in minimally invasive therapies, biosensing, and screening: Data-driven models, complex networks, and experiments
por: Singh, Sundeep, et al.
Publicado: (2023) -
Mechanism-Driven Modeling to Aid Non-invasive Monitoring of Cardiac Function via Ballistocardiography
por: Zaid, Mohamed, et al.
Publicado: (2022)