Matthew C Wiener

US Patent:

7442212, Oct 28, 2008

Filed:

Jan 11, 2002

Appl. No.:

10/250543

Inventors:

Barry J. Richmond - Bethesda MD, US
Matthew Wiener - Westfield NJ, US

Assignee:

The United States of America as represented by the Department of Health and Human Services - Washington DC

International Classification:

A61F 2/70

US Classification:

623 25

Abstract:

A device and method for decoding neuronal responses wherein sequences of potentials from neurons are monitored while specific motor tasks are carried out, and these sequences are characterized using order statistics and subsequently the order statistics are used to decode action potentials representing unidentified motor tasks to determine the desired motor task. The method of the invention comprises the steps of monitoring action potentials caused by a motor task being requested by the brain, calculating a spike density function and order tasks for each distinct motor task, to relate action potentials to their specific motor task. The invention also offers methods of formulating instructions for a prosthetic device. This method comprises the steps of learning the neuronal responses of distinct motor tasks by monitoring action potentials caused by a motor task being requested by the brain, calculating a cumulative density function for each distinct motor task, and using order statistics to relate action potentials to their respective motor tasks; monitoring action potentials from at least one neuron of said user wherein the action potentials are caused by the request for an unknown motor task; using said learned neuronal responses to determine which motor task is being requested by the monitored neuron; and formulating instructions on how to carry out the requested motor task. The device of the invention comprises a prosthetic limb, a device capable of making said prosthetic limb carry out motor tasks, a device capable of recording action potentials from neurons, and a device containing instructions for monitoring neurons, calculating cumulative density functions, utilizing order statistics, and determining instructions for various motor tasks.

US Patent:

20040195500, Oct 7, 2004

Filed:

Mar 31, 2004

Appl. No.:

10/814474

Inventors:

Jeffrey Sachs - Basking Ridge NJ, US
Matthew Wiener - Westfield NJ, US
Nathan Yates - Piscataway NJ, US

International Classification:

H01J049/00
G06F019/00

US Classification:

250/282000, 702/023000

Abstract:

The present invention features mass spectrometry data analysis techniques that can be employed to selectively identify analytes differing in abundance between different sample sets. The employed techniques determine the statistical significance of changes to signals associated with mass-to-charge ratios (“m/z-intensity pairs”) between individual samples and sample sets. Based on the statistical significance, changes likely to indicate analyte level differences are identified. Based on intensities of the signals, ratios of analyte abundances can be determined.