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Sökning: WAKA:kon > Högskolan i Borås > Lindecrantz Kaj

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1.
  • Abtahi, Farhad, et al. (författare)
  • An Affordable ECG and Respiration Monitoring System Based on Raspberry PI and ADAS1000 : First Step towards Homecare Applications
  • 2015
  • Ingår i: 16th Nordic-Baltic Conference on Biomedical Engineering : 16. NBC & 10. MTD 2014 joint conferences. October 14-16, 2014, Gothenburg, Sweden. - Springer. - 978-3-319-12966-2 ; s. 5-8
  • Konferensbidrag (refereegranskat)abstract
    • Homecare is a potential solution for problems associated with an aging population. This may involve several physiological measurements, and hence a flexible but affordable measurement device is needed. In this work, we have designed an ADAS1000-based four-lead electrocardiogram (ECG) and respiration monitoring system. It has been implemented using Raspberry PI as a platform for homecare applications. ADuM chips based on iCoupler technology have been used to achieve electrical isolation as required by IEC 60601 and IEC 60950 for patient safety. The result proved the potential of Raspberry PI for the design of a compact, affordable, and medically safe measurement device. Further work involves developing a more flexible software for collecting measurements from different devices (measuring, e.g., blood pressure, weight, impedance spectroscopy, blood glucose) through Bluetooth or user input and integrating them into a cloud-based homecare system.
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  • Atefi, S. R., et al. (författare)
  • Electrical Bioimpedance cerebral monitoring. Preliminary results from measurements on stroke patients
  • 2012
  • Ingår i: Engineering in Medicine and Biology Society (EMBC), 2012 Annual International Conference of the IEEE. - IEEE. - 978-142444119-8 ; s. 126-129
  • Konferensbidrag (refereegranskat)abstract
    • Electrical Bioimpedance Spectroscopy (EBIS) is currently used in different tissue characterization applications. In this work we aim to use EBIS to study changes in electrical properties of the cerebral tissues after an incident of hemorrhage/ischemic stroke. To do so a case-control study was conducted using six controls and three stroke cases. The preliminary results of this study show that by using Cole-based analysis on EBIS measurements and analyzing the Cole parameters R0 and R∞, it is possible to detect changes on electrical properties of cerebral tissue after stroke. 
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  • Lindecrantz, Kaj (författare)
  • Care@Distance - Hemövervakning av hjärtsviktpatienter
  • 2007
  • Ingår i: NIVO i Norr, Boende och Hälsa inom framtidens vård och omsorg - workshop den 7-8 juni. - Skellefteå kommun, Umeå kommun, Västerbottens läns landsting, Umeå Universitet, Uminova innovation, LFTP nivo.
  • Konferensbidrag (övrigt vetenskapligt)
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  • Löfhede, Johan, et al. (författare)
  • Classifying burst and suppression in the EEG of post asphyctic newborns using a support vector machine
  • 2007
  • Ingår i: Proceedings of the 3rd International IEEE EMBS Conference on Neural Engineering. - IEEE. - 978-1-4244-0791-0 ; s. 630-633
  • Konferensbidrag (refereegranskat)abstract
    • A Support Vector Machine (SVM) was trained to distinguish bursts from suppression in burst-suppression EEG, using Ave features inherent in the electro-encephalogram (EEG) as input. The study was based on data from six full term infants who had suffered from perinatal asphyxia, and the machine was trained with reference classifications made by an experienced electroencephalographer. The results show that the method may be useful, but that differences between patients in the data set makes optimization of the system difficult.
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