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INSMA: An integrated system for multimodal data acquisition and analysis in the intensive care unit.
Sun, Yingcheng; Guo, Fei; Kaffashi, Farhad; Jacono, Frank J; DeGeorgia, Michael; Loparo, Kenneth A.
Afiliación
  • Sun Y; CDS Department, Case Western Reserve University, Cleveland, OH, United States. Electronic address: yxs489@case.edu.
  • Guo F; ECSE Department, Case Western Reserve University, Cleveland, OH, United States.
  • Kaffashi F; ECSE Department, Case Western Reserve University, Cleveland, OH, United States.
  • Jacono FJ; Department of Medicine, Case Western Reserve University, Cleveland, OH, United States.
  • DeGeorgia M; Department of Neurology, Case Western Reserve University, Cleveland, OH, United States.
  • Loparo KA; ECSE Department, Case Western Reserve University, Cleveland, OH, United States.
J Biomed Inform ; 106: 103434, 2020 06.
Article en En | MEDLINE | ID: mdl-32360265
Modern intensive care units (ICU) are equipped with a variety of different medical devices to monitor the physiological status of patients. These devices can generate large amounts of multimodal data daily that include physiological waveform signals (arterial blood pressure, electrocardiogram, respiration), patient alarm messages, numeric vitals data, etc. In order to provide opportunities for increasingly improved patient care, it is necessary to develop an effective data acquisition and analysis system that can assist clinicians and provide decision support at the patient bedside. Previous research has discussed various data collection methods, but a comprehensive solution for bedside data acquisition to analysis has not been achieved. In this paper, we proposed a multimodal data acquisition and analysis system called INSMA, with the ability to acquire, store, process, and visualize multiple types of data from the Philips IntelliVue patient monitor. We also discuss how the acquired data can be used for patient state tracking. INSMA is being tested in the ICU at University Hospitals Cleveland Medical Center.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Unidades de Cuidados Intensivos Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: J Biomed Inform Asunto de la revista: INFORMATICA MEDICA Año: 2020 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Unidades de Cuidados Intensivos Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: J Biomed Inform Asunto de la revista: INFORMATICA MEDICA Año: 2020 Tipo del documento: Article