Imbalance and Falls in Patients with Parkinson's Disease: Causes and Recent Developments in Training and Sensor-Based Assessment.
Parkinson’s disease
clinical research
falls
imbalance
technology
Journal
Brain sciences
ISSN: 2076-3425
Titre abrégé: Brain Sci
Pays: Switzerland
ID NLM: 101598646
Informations de publication
Date de publication:
22 Jun 2024
22 Jun 2024
Historique:
received:
22
04
2024
revised:
16
05
2024
accepted:
28
05
2024
medline:
27
7
2024
pubmed:
27
7
2024
entrez:
27
7
2024
Statut:
epublish
Résumé
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.
Identifiants
pubmed: 39061366
pii: brainsci14070625
doi: 10.3390/brainsci14070625
pii:
doi:
Types de publication
Journal Article
Review
Langues
eng