People's Community ClinicPeoples Community Clinic 2909 N Interstate Hwy 35, Austin, TX 78722 (512)4784939 (phone), (512)7081835 (fax)
CommUnityCare Health CentersCommunity Care At David Powell 4614 N Interstate 35, Austin, TX 78751 (512)9789100 (phone), (512)9019751 (fax)
Education:
Medical School University of Texas Medical School at San Antonio Graduated: 1991
Procedures:
Destruction of Benign/Premalignant Skin Lesions Destruction of Lesions on the Anus Electrocardiogram (EKG or ECG) Nutrition Therapy Psychological and Neuropsychological Tests Vaccine Administration
Conditions:
Abnormal Vaginal Bleeding Anemia Breast Disorders Chronic Renal Disease Cirrhosis
Languages:
English Spanish
Description:
Dr. Crow graduated from the University of Texas Medical School at San Antonio in 1991. He works in Austin, TX and 1 other location and specializes in Family Medicine. Dr. Crow is affiliated with Saint Davids Medical Center.
Dr. Crow graduated from the Texas Tech University Health Science Center School of Medicine - Lubbock in 1995. He works in Lubbock, TX and specializes in Family Medicine. Dr. Crow is affiliated with Covenant Medical Center and Covenant Womens & Childrens Hospital.
Name / Title
Company / Classification
Phones & Addresses
Steven Crow
SUGARLOAF HOLDINGS (CAYMAN) LIMITED COMPANY
Us Patents
Dive Computer And Method For Determining Gas Formation
Steven Crow - Denver CO, US John Lewis - Rancho Palos Verdes CA, US
International Classification:
G06F 19/00
US Classification:
702 23, 702138, 738651
Abstract:
The invention disclosed herein employs an algorithm, the Gas Formation Model (“GFM”), to calculate the formation of free gas in a human body. The GFM is based on a novel theory of the formation of free gas relative to the physiology of the human cardiovascular system. Additionally, the GFM utilizes a novel means for the solution of integro-differential equations, the type of equations that derive from the introduction of physiological parameters. GFM-based dive computers utilize novel inputs, including a measure of exercise at depth to reflect the state of an individual's cardiovascular system. GFM-based dive computers also produce novel outputs, including the actual volume of free gas present in a diver's cardiovascular system. The GFM is implemented as a practical computational tool by means of a incorporating the algorithm into a dive computer.