An Alternative Approach to Distinguish Movements of Parkinson Disease Patients
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[1] Ahmad Ihsan Mohd Yassin,et al. Statistical analysis of parkinson disease gait classification using Artificial Neural Network , 2011, 2011 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT).
[2] María Teresa Arredondo,et al. Proposal of a KinectTM-based system for gait assessment and rehabilitation in Parkinson's disease , 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
[3] P. Olivier,et al. Accuracy of the Microsoft Kinect sensor for measuring movement in people with Parkinson's disease. , 2014, Gait & posture.
[4] Yosuke Kurihara,et al. Accelerometry-Based Gait Analysis and Its Application to Parkinson's Disease Assessment— Part 1: Detection of Stride Event , 2014, IEEE Transactions on Neural Systems and Rehabilitation Engineering.
[5] J C Wall,et al. The Timed Get-up-and-Go test revisited: measurement of the component tasks. , 2000, Journal of rehabilitation research and development.
[6] A. Antonini,et al. EFNS/MDS‐ES recommendations for the diagnosis of Parkinson's disease , 2013, European journal of neurology.
[7] Christopher R. Harris,et al. Accurate and Reliable Gait Cycle Detection in Parkinson's Disease , 2014, IEEE Transactions on Neural Systems and Rehabilitation Engineering.
[8] Rupak K Banerjee,et al. Pulsatile arterial wall-blood flow interaction with wall pre-stress computed using an inverse algorithm , 2015, Biomedical engineering online.
[9] Martin Schätz,et al. Motion tracking and gait feature estimation for recognising Parkinson’s disease using MS Kinect , 2015, BioMedical Engineering OnLine.
[10] Antonios Gasteratos,et al. Computer Vision Systems , 2015, Lecture Notes in Computer Science.
[11] Richard W. Bohannon,et al. Reference Values for the Timed Up and Go Test: A Descriptive Meta‐Analysis , 2006, Journal of geriatric physical therapy.
[12] Sven Nomm,et al. An alternative approach to measure quantity and smoothness of the human limb motions , 2013 .