Decentralized safety concept for closed-loop controlled intensive care
| Autor: | Jan Kühn, Stefan Kowalewski, Martin Schweigler, Thorsten Janisch, Rolf Rossaint, Rüdger Kopp, André Stollenwerk, Marian Walter, Christian Brendle, Steffen Leonhardt |
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| Rok vydání: | 2017 |
| Předmět: |
Extracorporeal Circulation
Critical Care Real-time computing Biomedical Engineering 030204 cardiovascular system & hematology Fault detection and isolation Pattern Recognition Automated 03 medical and health sciences 0302 clinical medicine Intensive care Animals Humans Medicine Hidden Markov model Monitoring Physiologic Feedback Physiological Respiratory Distress Syndrome Measure (data warehouse) business.industry Environmental resource management Pressure sensor Blood pump Microcontroller Treatment Outcome 030228 respiratory system Clinical Alarms Therapy Computer-Assisted Patient Safety business Actuator |
| Zdroj: | Biomedical Engineering / Biomedizinische Technik. 62 |
| ISSN: | 1862-278X 0013-5585 |
| DOI: | 10.1515/bmt-2016-0087 |
| Popis: | This paper presents a decentralized safety concept for networked intensive care setups, for which a decentralized network of sensors and actuators is realized by embedded microcontroller nodes. It is evaluated for up to eleven medical devices in a setup for automated acute respiratory distress syndrome (ARDS) therapy. In this contribution we highlight a blood pump supervision as exemplary safety measure, which allows a reliable bubble detection in an extracorporeal blood circulation. The approach is validated with data of animal experiments including 35 bubbles with a size between 0.05 and 0.3 ml. All 18 bubbles with a size down to 0.15 ml are successfully detected. By using hidden Markov models (HMMs) as statistical method the number of necessary sensors can be reduced by two pressure sensors. |
| Databáze: | OpenAIRE |
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