@inproceedings{KetterlKieseLandgrafetal., author = {Ketterl, Hermann and Kiese, Constanze and Landgraf, Hans-Peter and Danzer, Anna-Lena and Schickling, Benedikt and Nicolau-Torra, Anna and Reitmeier, Torsten and Schulte-Mattler, Wilhelm and von Schweinitz, Dietrich}, title = {Intuitive Visualization of Innervation Zones Based on Surface-EMG Signals}, series = {2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 18-21 July 2018, Honolulu, HI, USA}, booktitle = {2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 18-21 July 2018, Honolulu, HI, USA}, publisher = {IEEE}, doi = {10.1109/EMBC.2018.8513265}, pages = {3894 -- 3897}, abstract = {The purpose of this study was to develop a user-friendly presentation of surface-EMG data in near-time for intraoperative nerve-monitoring. We have built a novel surface-EMG probe as a diagnostic device to investigate innervation patterns of sphincter muscles in further clinical diagnostic studies. S-EMG data were recorded from 20 healthy volunteers from the orbicularis oris muscles. We developed an automated analysis based on correlation in order to find phase inversions and thus innervation zones automatically. We compared our automated analysis with manual, visual analysis. Both techniques were reviewed for variance and showed reproducible results. Data from automated analysis were compared to visually analyzed data showing high consistency. Based on our automated analysis, we created an intuitive visualization of all measurements per person. We displayed the quality and quantity of the phase inversions found in a subject thus allowing for simple identification of innervation zones. We conclude that our set-up showed sufficient reliability for detection of motoric endplate activity and can be used for further clinical neurophysiological studies.}, language = {en} }