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 (2024). Imbalance and Falls in Patients with Parkinson's Disease: Causes and Recent Developments in Training and Sensor-Based Assessment. Brain Sciences, 14(7) MDPI 10.3390/brainsci14070625

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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.

Item Type:

Journal Article (Review Article)

Division/Institute:

04 Faculty of Medicine > Department of Head Organs and Neurology (DKNS) > Clinic of Neurology

UniBE Contributor:

Brook, Caroline Sharon

Subjects:

600 Technology > 610 Medicine & health

ISSN:

2076-3425

Publisher:

MDPI

Language:

English

Submitter:

Pubmed Import

Date Deposited:

29 Jul 2024 10:48

Last Modified:

29 Jul 2024 10:56

Publisher DOI:

10.3390/brainsci14070625

PubMed ID:

39061366

Uncontrolled Keywords:

Parkinson’s disease clinical research falls imbalance technology

BORIS DOI:

10.48350/199331

URI:

https://boris.unibe.ch/id/eprint/199331

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