LOUIS J WILSON, MD
Osteopathic Medicine at Brook Ave, Wichita Falls, TX

License number
Texas K3534
Category
Osteopathic Medicine
Type
Gastroenterology
Address
Address
1104 Brook Ave, Wichita Falls, TX 76301
Phone
(940) 687-6870
(940) 687-6871 (Fax)

Organization information

See more information about LOUIS J WILSON at bizstanding.com

Wichita Falls Gstrntrelogy Associate - Louis J Wilson MD

1104 Brk Ave STE A, Wichita Falls, TX 76301

Categories:
Gastroenterology Physicians & Surgeons, Physicians & Surgeons
Phone:
(940) 687-6870 (Phone)

Professional information

Louis J Wilson Photo 1

Dr. Louis J Wilson, Wichita Falls TX - MD (Doctor of Medicine)

Specialties:
Gastroenterology
Address:
Wichita Falls GI Associates
1104 Brook Ave STE A, Wichita Falls 76301
(940) 687-6870 (Phone)
Certifications:
Gastroenterology, 1997, Internal Medicine, 1992
Awards:
Healthgrades Honor Roll
Languages:
English
Hospitals:
Wichita Falls GI Associates
1104 Brook Ave STE A, Wichita Falls 76301
United Regional Health Care System
1600 11Th St, Wichita Falls 76301
Education:
Medical School
University Of Texas Southwestern Medical Center At Dallas
Graduated: 1989
University Iowa Hosps and Clins
Graduated: 1990
Graduated: 1992
University Ala At Birmingham
Graduated: 1994


Louis Wilson Photo 2

Devices For Diagnosing Sleep Apnea Or Other Conditions And Related Systems And Methods

US Patent:
2012012, May 17, 2012
Filed:
Jun 23, 2011
Appl. No.:
13/167165
Inventors:
Louis J. Wilson - Wichita Falls TX, US
International Classification:
A61B 5/08
US Classification:
600529
Abstract:
A system includes a sensor device having a body configured to be inserted into an airway of a patient and one or more sensors mounted in or on the body. The one or more sensors are configured to collect sensor data associated with the airway of the patient. The system also includes a signal analyzer configured to analyze the sensor data. The one or more sensors could include one or more microphones. The signal analyzer could identify volume and/or pitch characteristics of the sensor data, perform pattern recognition to identify one or more patterns using the volume and/or pitch characteristics, and use the one or more patterns to identify a type, a location, and/or a degree of airway obstruction. This could be done, for instance, to determine if the patient suffers from obstructive sleep apnea or other condition that affects his or her airway.