Martin H Wells

Author:

Martin John Wells

ISBN #:

0470991976

Author:

Martin John Wells

ISBN #:

0738200174

US Patent:

6721738, Apr 13, 2004

Filed:

Jan 31, 2001

Appl. No.:

09/773165

Inventors:

Christopher Verplaetse - Cambridge MA
Christopher Turner - Belmont MA
W. David Lee - West Newton MA
Martin Wells - Needham MA

Assignee:

Gaveo Technology, LLC. - West Newton MA

International Classification:

G06F 1730

US Classification:

707 6, 707 2, 707 9, 707 10, 702141, 340571, 345741

Abstract:

A motion password control system including a motion sensor responsive to motion of a device and providing a signal corresponding to movement of the device; a database including stored data values corresponding to predetermined motion of the device; and an electronic circuit, responsive to the motion sensor, configured to compare the motion sensor signal with the stored database values, and, in response, to provide an output signal for performing at least one action of a preselected set of actions when the comparison reveals that the device has moved in a way which corresponds to the stored data values.

US Patent:

6936012, Aug 30, 2005

Filed:

Jun 18, 2002

Appl. No.:

10/174153

Inventors:

Martin D. Wells - Needham MA, US

Assignee:

NeuroMetrix, Inc. - Waltham MA

International Classification:

A61B005/05

US Classification:

600554

Abstract:

A novel application of independent component analysis (ICA) to data acquired by a single sensor. The technique exploits the unique relationship between multiple physiologic (source) and electronic (artifact) components in surface recorded sensory nerve action potential (SNAP) waveforms that are evoked by different activating magnitudes. A forward model of the SNAP is developed and used to test the approach on a simplified data simulation. The method is applied to experimental data and shown to be effective at separating artifact and source components and reconstructing artifact-free traces. A method of automated reconstruction for use within an expert system is also disclosed.

US Patent:

6970095, Nov 29, 2005

Filed:

May 17, 2000

Appl. No.:

09/572801

Inventors:

W. David Lee - West Newton MA, US
Martin Wells - Needham MA, US
Christopher Verplaetse - Cambridge MA, US
Christopher Turner - Belmont MA, US

Assignee:

Caveo Technology, LLC - Newton MA

International Classification:

G08B021/00

US Classification:

340669, 340571, 3405681, 340689, 340566

Abstract:

A theft detection system includes an accelerometer attachable to an object, the accelerometer providing an acceleration signal in response to movement of the object; an alarm mechanism for providing a signal in response to movement of the object; and for preventing false alarms, a filter programmed to determine the frequency of the acceleration signal and to provide an output to activate the alarm mechanism only when the frequency of the acceleration signal meets a predetermined criteria.

US Patent:

7452335, Nov 18, 2008

Filed:

Nov 6, 2002

Appl. No.:

10/288852

Inventors:

Martin D. Wells - Needham MA, US
Shai N. Gozani - Brookline MA, US

Assignee:

NeuroMetrix, Inc. - Waltham MA

International Classification:

A61B 5/05
A61B 5/04

US Classification:

600554, 600546

Abstract:

A method and apparatus for assessing neuromuscular pathology in an individual, by (a) applying a plurality of stimuli to a peripheral nerve; (b) recording from the peripheral nerve, or from a muscle innervated by the peripheral nerve, at least one response to each stimulus; (c) processing each response into at least one response characteristic; (d) compiling the response characteristics from all of the responses into a plurality of descriptive parameters of the response characteristics; and (e) analyzing the plurality of descriptive parameters according to a function specific to the neuromuscular pathology so as to yield an indicator of the pathology.

US Patent:

7628761, Dec 8, 2009

Filed:

Feb 14, 2002

Appl. No.:

10/075217

Inventors:

Shai N. Gozani - Brookline MA, US
Ann Pavlik Meyer - Newton MA, US
Xuan Kong - Acton MA, US
Martin D. Wells - Needham MA, US

Assignee:

NeuroMetrix, Inc. - Waltham MA

International Classification:

A61B 5/05
A61B 5/00
A61B 5/04

US Classification:

600554, 600382, 600383, 600384, 600385, 600386, 600387, 600388, 600389, 600390, 600391, 600392, 600393, 600395, 600546, 600547, 600555

Abstract:

An apparatus and method for detecting physiological function, for example, nerve conduction, is described. In one embodiment the apparatus includes a housing including a stimulator shaped to fit a first anatomical site and a detector shaped to fit a second anatomical site. The housing automatically positions the detector substantially adjacent to the second anatomical site when the stimulator is positioned substantially adjacent to the first anatomical site. The detector contains a plurality of individual detection elements, whereby the response evoked by stimulation at the first anatomical site is measured using one or more of these detection elements at the second anatomical location.

US Patent:

20050131288, Jun 16, 2005

Filed:

Aug 13, 2004

Appl. No.:

10/917666

Inventors:

Christopher Turner - Belmont MA, US
Martin Wells - Needham MA, US

International Classification:

A61B005/04
A61B005/00

US Classification:

600391000, 128903000, 600300000

Abstract:

An apparatus and method for the transduction, acquisition, and processing of physiologic variables are described. The apparatus is a self-contained, patient-worn device consisting of a flexible substrate, a transduction means, a power generation means, and a signal acquisition and processing means, and a data transmission means.

US Patent:

20050209785, Sep 22, 2005

Filed:

Feb 27, 2005

Appl. No.:

11/068102

Inventors:

Martin Wells - Needham MA, US
Christopher Turner - Belmont MA, US
Peter Jacobson - Goshen CT, US

International Classification:

G06E001/00
G06G007/00
G06F015/18
G06F019/00

US Classification:

702019000, 706016000

Abstract:

The present invention is directed to improved systems and methods for distinguishing and classifying subjects based on analysis of biological materials. Methods for the analysis of multivariate data collected from a plurality of subjects of known class are provided. The results of such analyses include a set of intermediate combined classifiers as well as a metal variable that relates directly to the classes of the subjects in a training population. Both the intermediate combined classifiers and the final meta model are used to distinguish and classify subjects of previously unknown class.

US Patent:

20050283090, Dec 22, 2005

Filed:

Aug 4, 2005

Appl. No.:

11/197713

Inventors:

Martin Wells - Needham MA, US

International Classification:

A61B005/04

US Classification:

600544000

Abstract:

A novel application of independent component analysis (ICA) to data acquired by a single sensor. The technique exploits the unique relationship between multiple physiologic (source) and electronic (artifact) components in surface recorded sensory nerve action potential (SNAP) waveforms that are evoked by different activating magnitudes. A forward model of the SNAP is developed and used to test the approach on a simplified data simulation. The method is applied to experimental data and shown to be effective at separating artifact and source components and reconstructing artifact-free traces. A method of automated reconstruction for use within an expert system is also disclosed.