DURCH WISSENSCHAFTLICHE VERÖFFENTLICHUNGEN VALIDIERT

Das SPEAC® System von Brain Sentinel und die Verwendung von sEMG als klinischer Biomarker wird seit Jahren untersucht und erforscht. Das Interesse an dem Thema ist gestiegen, da der Wert des sEMG als sinnvoller Biomarker erkannt wurde. Hier ist ein Auszug aus den bisher veröffentlichten Publikationen:

SPEAC® System – veröffentlichte klinische Studien 

    1. Halford, J. J., Sperling, M. R., Nair, D. R., Dlugos, D. J., Tatum, W. O., Harvey, J., French, J. A., Pollard, J. R., Faught, E., Noe, K. H., Henry, T. R., Jetter, G. M., Lie, O. V., Morgan, L. C., Girouard, M. R., Cardenas, D. P., Whitmire, L. E. and Cavazos, J. E. (2017), Detection of generalized tonic–clonic seizures using surface electromyographic monitoring. Epilepsia. doi:10.1111/epi.13897. Klicken Sie hier, um den vollständigen Artikel anzuzeigen oder herunterzuladen.
    2. Szabó, C. Á., Morgan, L. C., Karkar, K. M., Leary, L. D., Lie, O. V., Girouard, M. and Cavazos, J. E. (2015), Electromyography-based seizure detector: Preliminary results comparing a generalized tonic–clonic seizure detection algorithm to video-EEG recordings. Epilepsia, 56: 1432–1437. Doi:10.1111/epi.13083. Klicken Sie hier, um den vollständigen Artikel anzuzeigen oder herunterzuladen.

SPEAC® System – Poster & Präsentationen

      1. ICTALS 2017. Using surface electromyography to differentiate between generalized tonic-clonic seizures and psychogenic non-epileptic seizures.
      2. AAN 2017. Application of sEMG Feature Extraction from EEG Recordings for Evaluation of Generalized Tonic-Clonic Seizure Semiology.
      3. AAN 2017. Use of sEMG to inform GTC seizure semiology.
      4. AES 2016. Semiology. Semiological characteristics of generalized tonic-clonic seizures assessed with video-EEG and sEMG.
      5. AES 2016. Application of sEMG feature extraction from EEG recordings for evaluation of generalized tonic-clinic seizure semiology.
      6. AAN 2016. A pivotal, phase III trial of detecting generalized tonic-clonic seizures with a seizure detection and warning system.
      7. AES 2015. Automated sEMG based seizure detection and quantification for the home and the epilepsy monitoring unit: a prospective multi center study.
      8. AAN 2015. Novel ambulatory EMG-based GTC seizure detection device for home and hospital use.
      9. ACNS 2015. Automated EMG based seizure detection and quantification for the home and the EMU, a prospective multi center study.
      10. ILAE 2015. Automated sEMG based seizure detection and quantification for the home and the epilepsy monitoring unit: A prospective multi center study.
      11. ILAE 2015. BrainSentinel-Novel ambulatory EMG-based GTC seizure detection device for home and hospital use.
      12. AES 2014. Automated EMG based seizure detection and quantification for the home and the EMU, a prospective multi center study.
      13. AES 2013. EMG-based seizure detector: interim results comparing a generalized tonic-clonic seizure detection algorithm to video-EEG recordings.

 sEMG – veröffentlichte klinische Studien

    1. Beniczky, 2016. Quantitative analysis of surface electromyography: Biomarkers for convulsive seizures.
    2. Beniczky, 2014. Quantitative analysis of surface electromyography during epileptic and nonepileptic convulsive seizures.
    3. Conradsen, 2011. Patterns of muscle activation during generalized tonic-clinic epileptic seizures.