BRUCE ALDER BUCKINGHAM, MD
Medical Practice at Bascom Ave, San Jose, CA
License number
California G25563
Category
Medical Practice
Type
Pediatrics
Address
Address
2
751 S Bascom Ave DEPARTMENT PEDIATRICS, San Jose, CA 95128
761 Matadero Ave, Palo Alto, CA 94306
761 Matadero Ave, Palo Alto, CA 94306
Phone
(408) 885-5630
(408) 218-6584
(408) 218-6584
Personal information
See more information about BRUCE ALDER BUCKINGHAM at radaris.comName
Address
Phone
761 Matadero Ave, Palo Alto, CA 94306
455 S Main St, Orange, CA 92868
3108 Stadium Ave, Napa, CA 94558
12650 San Cayetano Rd, Atascadero, CA 93422
12412 Matteson Ave, Los Angeles, CA 90066
Professional information
See more information about BRUCE ALDER BUCKINGHAM at trustoria.com
Dr. Bruce A Buckingham, Los Gatos CA - MD (Doctor of Medicine)
Dr. Bruce A Buckingham, Los Gatos CA - MD (Doctor of Medicine)
Specialties:
Pediatric Endocrinology
Address:
South Bay Specialty Clinic
14777 Los Gatos Blvd SUITE 200, Los Gatos 95032
(408) 356-0911 (Phone)
Lucille Packard Child Hosp Endo
730 Welch Rd SUITE 2, Palo Alto 94304
(650) 723-5791 (Phone)
14777 Los Gatos Blvd SUITE 200, Los Gatos 95032
(408) 356-0911 (Phone)
Lucille Packard Child Hosp Endo
730 Welch Rd SUITE 2, Palo Alto 94304
(650) 723-5791 (Phone)
Certifications:
Pediatric Endocrinology, 1978, Pediatrics, 1977
Awards:
Healthgrades Honor Roll
Languages:
English
Hospitals:
South Bay Specialty Clinic
14777 Los Gatos Blvd SUITE 200, Los Gatos 95032
Lucille Packard Child Hosp Endo
730 Welch Rd SUITE 2, Palo Alto 94304
Good Samaritan Hospital
2425 Samaritan Dr, San Jose 95124
14777 Los Gatos Blvd SUITE 200, Los Gatos 95032
Lucille Packard Child Hosp Endo
730 Welch Rd SUITE 2, Palo Alto 94304
Good Samaritan Hospital
2425 Samaritan Dr, San Jose 95124
Education:
Medical School
University of California At San Diego
Graduated: 1972
Children's Hospital Los Angeles
University of California At San Diego
Graduated: 1972
Children's Hospital Los Angeles
Bruce Alder Buckingham, Los Gatos CA
Bruce Alder Buckingham, Los Gatos CA
Specialties:
Pediatrics, Pediatric Endocrinology, Endocrinology, Diabetes & Metabolism
Work:
Specialty Center South Bay
14777 Los Gatos Blvd, Los Gatos, CA 95032 Santa Clara Valley Medical Center
751 S Bascom Ave, San Jose, CA 95128 Lpch
725 Welch Rd, Palo Alto, CA 94304 Stanford University
300 Pasteur Dr, Stanford, CA 94305
14777 Los Gatos Blvd, Los Gatos, CA 95032 Santa Clara Valley Medical Center
751 S Bascom Ave, San Jose, CA 95128 Lpch
725 Welch Rd, Palo Alto, CA 94304 Stanford University
300 Pasteur Dr, Stanford, CA 94305
Education:
University of California at San Diego (1972)
Bruce Alder Buckingham, San Jose CA
Bruce Alder Buckingham, San Jose CA
Specialties:
Pediatrician
Address:
751 S Bascom Ave, San Jose, CA 95128
Education:
University of California San Diego, School of Medicine - Doctor of Medicine
Childrens Hospital Los Angeles - Fellowship - Pediatric Endocrinology and Metabolism
Childrens Hospital Los Angeles - Residency - Pediatrics
Childrens Hospital Los Angeles - Fellowship - Pediatric Endocrinology and Metabolism
Childrens Hospital Los Angeles - Residency - Pediatrics
Board certifications:
American Board of Pediatrics Certification in Pediatrics, American Board of Pediatrics Sub-certificate in Pediatric Endocrinology (Pediatrics)
Method And Apparatus For Real-Time Estimation Of Physiological Parameters
Method And Apparatus For Real-Time Estimation Of Physiological Parameters
US Patent:
6575905, Jun 10, 2003
Filed:
Sep 21, 2001
Appl. No.:
09/960846
Inventors:
Edward J. Knobbe - Fallbrook CA
Wah L. Lim - Newport Beach CA
Bruce A. Buckingham - Palo Alto CA
Wah L. Lim - Newport Beach CA
Bruce A. Buckingham - Palo Alto CA
Assignee:
Knobbe, Lim Buckingham - Newport Beach CA
International Classification:
A61B 500
US Classification:
600365, 128923, 128924
Abstract:
A real-time glucose estimator uses a linearized Kalman filter to determine a best estimate of glucose level in real time. The real-time glucose estimator receives at least one measurement corresponding to glucose level. The measurement can be obtained with one or more sensors and is provided to the linearized Kalman filter in real time. The linearized Kalman filter has dynamic models and executes a recursive routine to determine the best estimate of glucose level based upon the measurement. Additional information can be provided to the linearized Kalman filter for initialization, configuration, and the like. Outputs of the linearized Kalman filter can be provided to a patient health monitor for display or for statistical testing to determine status of the real-time glucose estimator. The real-time glucose estimator can be implemented using a software algorithm.
Method And Apparatus For Real-Time Control Of Physiological Parameters
Method And Apparatus For Real-Time Control Of Physiological Parameters
US Patent:
2002011, Aug 15, 2002
Filed:
Sep 21, 2001
Appl. No.:
09/960855
Inventors:
Edward Knobbe - Fallbrook CA, US
Wah Lim - Newport Beach CA, US
Bruce Buckingham - Palo Alto CA, US
Wah Lim - Newport Beach CA, US
Bruce Buckingham - Palo Alto CA, US
International Classification:
A61B005/00
US Classification:
600/365000
Abstract:
A real-time controller operating as an artificial pancreas uses a Kalman control algorithm to control glucose level of a patient in real time. The real-time controller receives an estimate of the patient glucose level and a reference glucose level. The estimate of the patient glucose level can be provided by an optimal estimator implemented using a linearized Kalman filter. The estimated glucose level and the reference glucose level are processed by the Kalman control algorithm to determine a control command in real time. The Kalman control algorithm has a dynamic process forced by the control command a cost function determining a relative level of control. The control command is provided to a dispenser which secretes insulin or glucagon in response to the control command to correct a relatively high glucose level or a relatively low glucose level.
Method And Apparatus For Real-Time Control Of Physiological Parameters
Method And Apparatus For Real-Time Control Of Physiological Parameters
US Patent:
2003019, Oct 16, 2003
Filed:
Apr 16, 2003
Appl. No.:
10/417438
Inventors:
Edward Knobbe - Fallbrook CA, US
Wah Lim - Newport Beach CA, US
Bruce Buckingham - Palo Alto CA, US
Wah Lim - Newport Beach CA, US
Bruce Buckingham - Palo Alto CA, US
International Classification:
A61B005/00
US Classification:
600/365000
Abstract:
A real-time controller operating as an artificial pancreas uses a Kalman control algorithm to control glucose level of a patient in real time. The real-time controller receives an estimate of the patient glucose level and a reference glucose level. The estimate of the patient glucose level can be provided by an optimal estimator implemented using a linearized Kalman filter. The estimated glucose level and the reference glucose level are processed by the Kalman control algorithm to determine a control command in real time. The Kalman control algorithm has a dynamic process forced by the control command a cost function determining a relative level of control. The control command is provided to a dispenser which secretes insulin or glucagon in response to the control command to correct a relatively high glucose level or a relatively low glucose level.
Hypoglycemia Prediction And Control
Hypoglycemia Prediction And Control
US Patent:
2010017, Jul 8, 2010
Filed:
Oct 26, 2009
Appl. No.:
12/589701
Inventors:
Bruce Buckingham - Palo Alto CA, US
Günter Niemeyer - Mountain View CA, US
Darrell M. Wilson - Sunnyvale CA, US
Fraser Cameron - Palo Alto CA, US
H. Peter Chase - Denver CO, US
Eyal Dassau - Goleta CA, US
Hyunjin Lee - Watervliet NY, US
B. Wayne Bequette - Albany NY, US
Günter Niemeyer - Mountain View CA, US
Darrell M. Wilson - Sunnyvale CA, US
Fraser Cameron - Palo Alto CA, US
H. Peter Chase - Denver CO, US
Eyal Dassau - Goleta CA, US
Hyunjin Lee - Watervliet NY, US
B. Wayne Bequette - Albany NY, US
International Classification:
A61M 37/00
US Classification:
604 66
Abstract:
A system for predicting hypoglycemia based on continuous blood glucose monitor values is provided. The hypoglycemia detection algorithm is a set of individual alarms that are combined through a voting system into one combined alarm. The system could have five components and an overall voting algorithm that produces a binary alarm outcome depending on the number of constituent algorithms that report an alarm. A controller system automatically shuts off the insulin pump when pending or real hypoglycemia has been reached. The algorithms operate in a closed loop and automatically take action when the subject is asleep.