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Imbalance and Falls in Patients with Parkinson's Disease: Causes and Recent Developments in Training and Sensor-Based Assessment.
Mylius, Veit; Zenev, Elisabeth; Brook, Caroline S; Brugger, Florian; Maetzler, Walter; Gonzenbach, Roman; Paraschiv-Ionescu, Anisoara.
Afiliación
  • Mylius V; Department of Neurology, Center for Neurorehabilitation, 7317 Valens, Switzerland.
  • Zenev E; Department of Neurology, Philipps University, 35043 Marburg, Germany.
  • Brook CS; Department of Neurology, Center for Neurorehabilitation, 7317 Valens, Switzerland.
  • Brugger F; Department of Neurology, Center for Neurorehabilitation, 7317 Valens, Switzerland.
  • Maetzler W; Department of Neurology, University of Bern, Inselspital Bern, 3010 Bern, Switzerland.
  • Gonzenbach R; Department of Neurology, Kantonsspital St. Gallen, 9007 St. Gallen, Switzerland.
  • Paraschiv-Ionescu A; Department of Neurology, University Hospital Schleswig-Holstein, Kiel University, 24105 Kiel, Germany.
Brain Sci ; 14(7)2024 Jun 22.
Article en En | MEDLINE | ID: mdl-39061366
ABSTRACT
Imbalance and falls in patients with Parkinson's disease (PD) do not only reduce their quality of life but also their life expectancy. Aging-related symptoms as well as disease-specific motor and non-motor symptoms contribute to these conditions and should be treated when appropriate. In addition to an active lifestyle, advanced exercise training is useful and effective, especially for less medically responsive symptoms such as freezing of gait and postural instability at advanced stages. As treadmill training in non-immersive virtual reality, including dual tasks, significantly reduced the number of falls in PD patients, the mechanism(s) explaining this effect should be further investigated. Such research could help to select the most suitable patients and develop the most effective training protocols based on this novel technology. Real-life digital surrogate markers of mobility, such as those describing aspects of endurance, performance, and the complexity of specific movements, can further improve the quality of mobility assessment using wearables.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Brain Sci Año: 2024 Tipo del documento: Article País de afiliación: Suiza Pais de publicación: Suiza
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Brain Sci Año: 2024 Tipo del documento: Article País de afiliación: Suiza Pais de publicación: Suiza