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Jason E O'Connor, 5115262 Mission St, Hesperia, CA 92345

Known as:
Jason E O'Conner Jason Oconner Jason Eoconnor
Related to:
Frederick Mitchell O'Connor

Jason O'Connor Phones & Addresses

Hesperia, CA   

Kenai, AK   

Palm Springs, CA   

Desert Hot Springs, CA   

San Diego, CA   

Soldotna, AK   

Ninilchik, AK   

Cathedral City, CA   

11335 Ambrosio Dr, Dsrt Hot Spgs, CA 92240   

Work

Position: Machine Operators, Assemblers, and Inspectors Occupations

Education

Degree: Associate degree or higher
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Mentions for Jason E O'Connor

Career records & work history

License Records

Jason O'connor

Licenses:
License #: 54.89.2452 - Active
Issued Date: Jun 28, 1996
Expiration Date: Jul 1, 2017
Type: Fire Protection Individual
License #: 54.89.2452/1 - Active
Category: Fire Service Mains
Issued Date: Jul 2, 2012
License #: 54.89.2452/2 - Active
Category: Sprinkler / Standpipe
Issued Date: Jul 2, 1996

Jason O'Connor resumes & CV records

Resumes

Jason O'Connor Photo 23

Jason O'connor

Industry:
International Affairs
Skills:
Emergency Management, Physical Security, Security Operations, Security Management, Humanitarian Assistance, Disaster Response, Security, Security Training, Crisis Management, Risk Management, Risk Assessment, Personal Security, Executive Protection, Protection, Counterterrorism, Information Security, Police, Security Awareness, Corporate Security, Investigation, Afghanistan, Close Protection, Contingency Planning, Intelligence Analysis, Private Investigations, Policy, Training
Interests:
Disaster and Humanitarian Relief
Certifications:
Emergency Medical Technician
National Registry of Emergency Medical Technicians
Jason O'Connor Photo 24

Jason O'connor

Jason O'Connor Photo 25

Jason O'connor

Location:
United States
Jason O'Connor Photo 26

Jason O'connor

Location:
United States
Jason O'Connor Photo 27

Jason O'connor

Location:
United States

Publications & IP owners

Us Patents

Adjustment Of Insulin-To-Carbohydrate Ratio, Correction Factor, Insulin Dosage And Timing Of Insulin Delivery By A Medicament Delivery Device

US Patent:
2023006, Mar 2, 2023
Filed:
Aug 23, 2022
Appl. No.:
17/821653
Inventors:
- Acton MA, US
Ashutosh ZADE - San Diego CA, US
Yibin ZHENG - Hartland WI, US
Jason O'CONNOR - Acton MA, US
International Classification:
A61M 5/172
G16H 20/17
G16H 20/13
A61B 5/145
Abstract:
The insulin to carbohydrate ratio (ICR) and the correction factor for a user of a medicament delivery device may be automatically adjusted. The automatic adjustments may tailor the values to the user's actual insulin needs. Various factors may be examined to determine how to adjust the ICR and the correction factor. The identified factors are weighed with the processor to decide whether to increase or decrease the insulin to carbohydrate ratio or the correction factor. The insulin to carbohydrate ratio or the correction factor for the user are adjusted based on the weights of the identified factors. In addition or in the alternative, automatic adjustments of user-requested insulin boluses may be made to requested dosages and timing of deliveries of the insulin boluses. In some instances, the exemplary embodiments may deliver a percentage of the insulin bolus dosage initially and deliver the remaining percentage after a delay to reduce the risk of hypoglycemia for the user.

Dual Hormone Delivery System For Reducing Impending Hypoglycemia And/Or Hyperglycemia Risk

US Patent:
2021024, Aug 12, 2021
Filed:
Feb 12, 2020
Appl. No.:
16/788892
Inventors:
- Acton MA, US
Ashutosh ZADE - San Diego CA, US
Jason O'CONNOR - Acton MA, US
Trang LY - Concord MA, US
Yibin ZHENG - Hartland WI, US
Connor GULLIFER - Brighton MA, US
Kyle GROVER - Watertown MA, US
Assignee:
INSULET CORPORATION - Acton MA
International Classification:
A61M 5/172
G16H 20/17
Abstract:
The exemplary embodiments attempt to identify impending hypoglycemia and/or hyperglycemia and take measures to prevent the hypoglycemia or hyperglycemia. Exemplary embodiments may provide a drug delivery system for delivering insulin and glucagon as needed by a user of the drug delivery system. The drug delivery system may deploy a control system that controls the automated delivery of insulin and glucagon to a patient by the drug delivery system. The control system seeks among other goals to avoid the user experiencing hypoglycemia or hyperglycemia. The control system may employ a clinical decision support algorithm as is described below to control delivery of insulin and glucagon to reduce the risk of hypoglycemia or hyperglycemia and to provide alerts to the user when needed. The control system assesses whether the drug delivery system can respond enough to avoid hypoglycemia or hyperglycemia and generates alerts when manual action is needed to avoid hypoglycemia or hyperglycemia.

Insulin Delivery Using Actual User Insulin Delivery Amounts To Accurately Predict Quantity And Timing Of Insulin Reservoir Refills

US Patent:
2021023, Aug 5, 2021
Filed:
Feb 3, 2020
Appl. No.:
16/780278
Inventors:
- Acton MA, US
Ashutosh ZADE - San Diego CA, US
Joon Bok LEE - Acton MA, US
Jason O'CONNOR - Acton MA, US
Yibin ZHENG - Hartland WI, US
Assignee:
INSULET CORPORATION - Acton MA
International Classification:
A61M 5/172
Abstract:
Exemplary embodiments may provide an improved approach to automated insulin delivery by more accurately estimating the total daily insulin (TDI) of a user. As a result, less insulin is wasted by the delivery system, and the estimate of TDI more closely matches a user's actual daily insulin needs. Hence, the user need not refill the insulin reservoir excessively or need not fret unnecessarily about running out of insulin prematurely. The estimate relies on the history of actual automated insulin deliveries and thus reflects the actual insulin delivered to the user more accurately than conventional approaches.

Use Of Fuzzy Logic In Predicting User Behavior Affecting Blood Glucose Concentration In A Closed Loop Control System Of An Automated Insulin Delivery Device

US Patent:
2021023, Aug 5, 2021
Filed:
Feb 3, 2021
Appl. No.:
17/166072
Inventors:
- Acton MA, US
Ashutosh ZADE - San Diego CA, US
Jason O'CONNOR - Acton MA, US
Yibin ZHENG - Hartland WI, US
Steven CARDINALI - Tewksbury MA, US
Assignee:
INSULET CORPORATION - Acton MA
International Classification:
A61M 5/172
G16H 20/17
G16H 10/60
G16H 20/30
G16H 50/20
Abstract:
In an automated insulin delivery device, fuzzy logic may be applied to the responding to the possibility of a user taking additional action that may affect the blood glucose concentration. Fuzzy sets may be defined for empirically derived different likelihoods of the user taking such additional action based on correlated factors. A membership function may be provided for each fuzzy set. The membership function may provide a probability of membership in the set based on a parameter. Each fuzzy set may have a response that is reflective of the likelihood of additional user action associated with the fuzzy set. The responses by the AID device to each of these cases may reflect the probability of each such case occurring as evidenced by empirical data.

Possible Relatives

Cynthia C O'Connor  David R O'Connor  Davin O'Connor  Dean O'Connor  Deana C O'Connor  Deanna O'Connor  Dale E O'Connor  Jason F Last  Jason S Johnson  Jason R Stamps 

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