Patent ID: 9359197
Filing Date: 2016-06-07
CPC Classification: A61B,B82Y,G16C

Claim Text:
1. A system for diagnosing, monitoring, prognosing or staging Parkinson's disease, the system comprising: (a) an apparatus comprising at least one sensor comprising nanomaterials selected from the group consisting of single walled carbon nanotubes (SWCNTs) coated with α-cyclodextrin, SWCNTs coated with carboxy-methylated β-cyclodextrin, SWCNTs coated with heptakis(2,3,6-tri-O-methyl)-β-cyclodextrin, Au nanoparticles capped with 3-mercapto-propionate, Au nanoparticles capped with 2-mercapto-benzoazole and Pt nanoparticles capped with 11-mercapto-1-undecanol, wherein the at least one sensor is configured to detect at least one volatile biomarker in a breath sample, which is indicative of Parkinson's disease, wherein said volatile biomarker is selected from the group consisting of butylated hydroxytoluene, 1-methyl-3-(1-methylethyl)-benzene, styrene, 5-ethyl-2-methyl-octane, and ethylbenzene; from the group consisting of methylene chloride, trichloromethane, di-n-octyl phthalate, 1,3-pentadiene and 1,2-benzenedicarboxylic acid; or from the group consisting of trichloroethylene, trichloromethane, 2,4-dimethyl-1-heptene, acetophenone, carbon disulfide, toluene and 2A-dimethyl heptane; (b) a processing unit comprising a learning and pattern recognition analyzer wherein the learning and pattern recognition analyzer receives sensor output signals and compares them to stored data; and (c) a reporting unit that provides a quantitative signal for the at least one volatile biomarker in the breath sample.