Assisted technology in Parkinson's disease gait: what's up?

Abstract: Background Gait disturbances are prevalent and debilitating symptoms, diminishing mobility and quality of life for Parkinson's disease (PD) individuals. While traditional treatments offer partial relief, there is a growing interest in alternative interventions to address this challenge. Recently, a remarkable surge in assisted technology (AT) development was witnessed to aid individuals with PD. Objective To explore the burgeoning landscape of AT interventions tailored to alleviate PD-related gait impairments and describe current research related to such aim. Methods In this review, we searched on PubMed for papers published in English (2018-2023). Additionally, the abstract of each study was read to ensure inclusion. Four researchers searched independently, including studies according to our inclusion and exclusion criteria. Results We included studies that met all inclusion criteria. We identified key trends in assistive technology of gait parameters analysis in PD. These encompass wearable sensors, gait analysis, real-time feedback and cueing techniques, virtual reality, and robotics. Conclusion This review provides a resource for guiding future research, informing clinical decisions, and fostering collaboration among researchers, clinicians, and policymakers. By delineating this rapidly evolving field's contours, it aims to inspire further innovation, ultimately improving the lives of PD patients through more effective and personalized interventions.

Angaben zum Objekt

• Weitere Titel: Tecnologia assistida na marcha da doença de Parkinson: o que há de novo?
• Standort: Deutsche Nationalbibliothek Frankfurt am Main
• Umfang: Online-Ressource
• Sprache: Englisch

Verweise und Beziehungen

• Erschienen in: Assisted technology in Parkinson's disease gait: what's up? ; volume:82 ; number:06 ; year:2024 ; pages:001-010 ; Arquivos de neuro-psiquiatria ; 82, Heft 06 (2024), 001-010

Beteiligte, Orts- und Zeitangaben

• Beteiligte Personen und Organisationen: Capato, Tamine T. C. ; Chen, Janini ; Miranda, Johnny de Araújo ; Chien, Hsin Fen

Weitere Informationen

• DOI: 10.1055/s-0043-1777782
• URN: urn:nbn:de:101:1-2404181104433.450725586720
• Rechteinformation: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
• Letzte Aktualisierung: 14.08.2025, 10:47 MESZ