Michael Dale Hauser

Address:

245 Parliament Cir, Topsham, ME 04086

Phone:

(207)7511199

VIN:

WDDGF8BB9CR196634

Make:

MERCEDES-BENZ

Model:

C-CLASS

Year:

2012

Address:

5017 Leasdale Rd, Rosedale, MD 21237

VIN:

1FMEU51K57UB49610

Make:

FORD

Model:

EXPLORER SPORT TRAC

Year:

2007

US Patent:

20220262470, Aug 18, 2022

Filed:

May 6, 2022

Appl. No.:

17/738878

Inventors:

- Paris, FR
Michael Hauser - South Portland ME, US
Brian Stancampiano - Fairport NY, US

International Classification:

G16H 15/00
G16H 10/60
G16H 40/20
G16H 40/60
G16H 40/63

Abstract:

Described is a system comprising an input module receiving a first data set indicative of at least one patient condition for each of a plurality of patients obtained during a predetermined time period, a comparison module comparing each of the at least one patient condition to at least one filter criteria, a filter module selecting a patient to include in a second data set if the at least one patient condition of the patient satisfies the at least one filter criteria, a report module generating a report based on the second data set, wherein the report includes at least one patient identifier for each patient in the second data set and at least one descriptor of the at least one patient condition for each patient in the second data set, and a classification module storing at least one classification value for the at least one patient condition.

US Patent:

20200411148, Dec 31, 2020

Filed:

Dec 26, 2019

Appl. No.:

16/727418

Inventors:

- Austin TX, US
- Coraopolis PA, US
Michael A. Hauser - Moon Township PA, US
Paul S. Chirgott - Coraopolis PA, US
Mark A. Cavicchia - Coraopolis PA, US

International Classification:

G16H 15/00
G16H 50/30

Abstract:

The invention relates to computer-based methods, systems, and mediums for identifying a change to the cumulative characterization of certain brain performance data collected from an individual, wherein the collected brain performance data is directly related to how at least one of the individual's neuromotor or cognitive brain functions is performing, hereinafter such a cumulative characterization is referred to as the individual's “Brain Profile”. The computer-based methods, systems, and mediums of the present invention identify and monitor changes in an individual's Brain Profile by employing of a computer system which is programmed and configured to perform at least the following tasks: to compute an individual's Normal Brain Profile through the implementation of a test session taken at least two separate times; to compute the individual's Current Brain Profile through the implementation the test session taken at a time after their Normal Brain Profile has been computed; and, to calculate whether there is a change to the individual's Brain Profile has occurred through a mathematical manipulation of their Normal Brain Profile and their Current Brain Profile.

US Patent:

20190272914, Sep 5, 2019

Filed:

May 17, 2019

Appl. No.:

16/415961

Inventors:

- Paris, FR
Michael Hauser - South Portland ME, US
Brian Stancampiano - Fairport NY, US

International Classification:

G16H 40/20
G16H 15/00
G16H 10/60

Abstract:

Described is a system comprising an input module receiving a first data set indicative of at least one patient condition for each of a plurality of patients obtained during a predetermined time period, a comparison module comparing each of the at least one patient condition to at least one filter criteria, a filter module selecting a patient to include in a second data set if the at least one patient condition of the patient satisfies the at least one filter criteria, a report module generating a report based on the second data set, wherein the report includes at least one patient identifier for each patient in the second data set and at least one descriptor of the at least one patient condition for each patient in the second data set, and a classification module storing at least one classification value for the at least one patient condition.

US Patent:

20170169178, Jun 15, 2017

Filed:

Feb 6, 2015

Appl. No.:

15/116994

Inventors:

- Coraopolis PA, US
- Austin TX, US
Mark A. Cavicchia - Coraopolis PA, US
Paul S. Chirgott - Aliquippa PA, US
Michael A. Hauser - Moon Township PA, US
George V. Kondraske - Arlington TX, US

International Classification:

G06F 19/00

Abstract:

The invention relates to computer-based methods, systems, and mediums for identifying a change to the cumulative characterization of certain brain performance data collected from an individual, wherein the collected brain performance data is directly related to how at least one of the individual's neuromotor or cognitive brain functions is performing, hereinafter such a cumulative characterization is referred to as the individual's “Brain Performance Profile”. The computer-based methods, systems, and mediums of the present invention identify and monitor changes in an individual's Brain Performance Profile by employing a computer system which is programmed and configured to perform at least the following tasks: to compute an individual's Normal Brain Performance Profile through the implementation of a test session taken at least two separate times; to compute the individual's Current Brain Performance Profile through the implementation of the test session taken at a time after their Normal Brain Performance Profile has been computed; and, to calculate whether a change to the individual's Brain Performance Profile has occurred through a mathematical manipulation of their Normal Brain Performance Profile and their Current Brain Performance Profile.

US Patent:

20150006187, Jan 1, 2015

Filed:

Jun 26, 2013

Appl. No.:

13/927910

Inventors:

- Paris, FR
Michael HAUSER - South Portland ME, US
Brian STANCAMPIANO - Fairport NY, US

International Classification:

G06F 19/00

US Classification:

705 2

Abstract:

Described is a system comprising an input module receiving a first data set indicative of at least one patient condition for each of a plurality of patients obtained during a predetermined time period, a comparison module comparing each of the at least one patient condition to at least one filter criteria, a filter module selecting a patient to include in a second data set if the at least one patient condition of the patient satisfies the at least one filter criteria, a report module generating a report based on the second data set, wherein the report includes at least one patient identifier for each patient in the second data set and at least one descriptor of the at least one patient condition for each patient in the second data set, and a classification module storing at least one classification value for the at least one patient condition.