FoG-Finder: Real-time Freezing of Gait Detection and Treatment
Author:
Affiliation:
1. Computer Science, William & Mary, Williamsburg, VA, USA
2. Virginia Commonwealth University, Richmond, VA, USA
Funder
NIH (National Institutes of Health)
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3580252.3586980
Reference54 articles.
1. Rajeev Aggarwal, Ingrid Pretzer, KyleN Winfree, SunilK Agrawal, and Madhuri Behari. 2019. Clinical outcomes of step-synchronized vibration training in patients of Parkinson's disease with freezing of gait. Annals of Movement Disorders 2 (01 2019), 15.
2. Claas Ahlrichs Albert Samà Monsonís Michael Lawo Joan Cabestany Daniel Rodríguez-Martín Carlos Pérez Dean Sweeney Leo Quinlan Gearóid ÓLaighin Timothy Counihan Patrick Browne Hadas Lewy Gabriel Vainstein Alberto Costa Roberta Annicchiarico Sheila Alcaine Berta Mestre Paola Quispe Angels Bayés and Alejandro Rodríguez-Molinero. 2015. Detecting freezing of gait with a tri-axial accelerometer in Parkinson's disease patients. Medical & Biological Engineering & Computing 54 (10 2015).
3. Roland Assam and T. Seidl. 2014. Prediction of freezing of gait from Parkinson's Disease movement time series using conditional random fields. In HealthGIS '14.
4. Online Detection of Freezing of Gait in Parkinson’s Disease Patients: A Performance Characterization
5. Wearable Assistant for Parkinson’s Disease Patients With the Freezing of Gait Symptom
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