Location History:
- Lauf, DE (2004 - 2005)
- Schwarzenbruck, DE (2004 - 2009)
Company Filing History:
Years Active: 2004-2009
Title: Werner Striebel: Innovator in Image Processing and Medical Surveillance
Introduction
Werner Striebel is a notable inventor based in Schwarzenbruck, Germany. He has made significant contributions to the fields of image processing and medical surveillance, holding a total of 5 patents. His work has been instrumental in advancing technologies that enhance patient care and data analysis.
Latest Patents
Striebel's latest patents include a method for analyzing image data. This invention relates to a method for analyzing image processing procedures, where unprocessed original image data is stored and retrieved for processing. The individual processing steps are stored along with their respective parameter values, allowing for a comprehensive statistical analysis of the processed image data. Additionally, he has developed a method and medical system for the postdischarge surveillance of patients. This system is designed to detect various complications, such as pneumonia and urinary tract infections, by utilizing a data bank that stores relevant information recorded during the patient's postdischarge period.
Career Highlights
Werner Striebel is currently associated with Siemens Aktiengesellschaft, a leading global technology company. His role at Siemens has allowed him to collaborate on innovative projects that bridge the gap between technology and healthcare. His expertise in image processing and medical systems has positioned him as a key player in these fields.
Collaborations
Striebel has worked alongside notable colleagues, including Volker Schmidt and Tilo Christ. Their collaborative efforts have contributed to the successful development of advanced technologies that improve patient outcomes and data management.
Conclusion
Werner Striebel's contributions to image processing and medical surveillance exemplify the impact of innovation in healthcare technology. His patents reflect a commitment to enhancing patient care through advanced data analysis methods.