@inproceedings{853ea79a40694ae19581a23e8bf3cb5c,
title = "Continuous assessment of gait velocity in Parkinson's disease from unobtrusive measurements",
abstract = "The ability to assess the neurological state of patients with neurodegenerative diseases on a continuous basis is an important component of future care for these chronically ill patients. In this paper we describe a set of algorithms to infer gait velocity and its variability using data from an unobtrusive sensor network by incorporating a simple dynamic description of a patient's movements within his or her residence. The sensors include a combination of passive motion detectors and active radio frequency identification tags. The dynamic model is a simple 4 state hidden Markov model. We investigated the ability of this model to assess gait velocity and its variability using data from a six month pilot study of several patients with early stage Parkinson's disease.",
author = "Misha Pavel and Tamara Hayes and Ishan Tsay and Deniz Erdogmus and Anindya Paul and Nicole Larimer and Holly Jimison and John Nutt",
year = "2007",
doi = "10.1109/CNE.2007.369769",
language = "English",
isbn = "1424407923",
series = "Proceedings of the 3rd International IEEE EMBS Conference on Neural Engineering",
pages = "700--703",
booktitle = "Proceedings of the 3rd International IEEE EMBS Conference on Neural Engineering",
note = "3rd International IEEE EMBS Conference on Neural Engineering ; Conference date: 02-05-2007 Through 05-05-2007",
}