0000000000519418

AUTHOR

Thilo B. Krueger

showing 2 related works from this author

Research platform for medical device development to simplify translation to the market

2019

New regulations for medical products complicate research projects for new application fields and translation of innovative product ideas to refundable medical products becomes a high economic risk. All this demands for a CE-marked platform, which offers the possibility to access the recorded data online or even directly the hardware during research applications, to bridge the gap. This paper describes how a CE-marked medical product can be extended by different interfaces to enable basic research or simplify first proof-of-concept studies thus optimizing prototype development in research projects, simplifying the documentation process and reducing the risk for market access.

Computer sciencebusiness.industryProcess (engineering)010401 analytical chemistryMarket access01 natural sciencesBridge (nautical)030218 nuclear medicine & medical imaging0104 chemical sciences03 medical and health sciences0302 clinical medicineSoftwareDocumentationDevelopment (topology)Equipment and SuppliesProduct (category theory)Software engineeringbusinessGraphical user interfaceAnnual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
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Postprocessing algorithm for automated analysis of pelvic intraoperative neuromonitoring signals

2016

Abstract Two dimensional pelvic intraoperative neuromonitoring (pIONM®) is based on electric stimulation of autonomic nerves under observation of electromyography of internal anal sphincter (IAS) and manometry of urinary bladder. The method provides nerve identification and verification of its’ functional integrity. Currently pIONM® is gaining increased attention in times where preservation of function is becoming more and more important. Ongoing technical and methodological developments in experimental and clinical settings require further analysis of the obtained signals. This work describes a postprocessing algorithm for pIONM® signals, developed for automated analysis of huge amount of …

Signal processingpostprocessing algorithmbusiness.industryRBiomedical Engineeringpelvic intraoperative neuromonitoringsignal analysis03 medical and health sciences0302 clinical medicine030220 oncology & carcinogenesisMedicineMedicine030211 gastroenterology & hepatologyComputer visionArtificial intelligencebusinessCurrent Directions in Biomedical Engineering
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