A Multimodal Model-Fusion Approach for Improved Prediction of Freezing of Gait in Parkinson’s Disease

Freezing of gait (FoG) is a widely observed movement disorder in patients with Parkinson’s disease (PD). Its prediction is crucial for effectively giving the cue to avoid FoG occurrence. However, present methods of prediction of FoG are inaccurate for large but practical prediction horizons (PHs). T...

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Veröffentlicht in:	IEEE sensors journal 2023-07, Vol.23 (14), p.16168-16175
Hauptverfasser:	Bajpai, Rishabh, Khare, Suyash, Joshi, Deepak
Format:	Artikel
Sprache:	eng
Schlagworte:	Electroencephalography Gait Inertial platforms Learning Model testing Neural networks Parkinson's disease
Online-Zugang:	Volltext
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