Method for Blink Detection in Single Channel of Invasive Electromyogram Signal
Keywords:electromyography, facial nerve paralysis, blink detection
Problem statement. Facial nerve damage is the cranial nervous system disorder often leading to facial muscle paralysis, which might be effectively restored using functional electrical stimulation of the fully or partially denervated circular muscle of the eye to achieve muscle contraction to close the eyelids. To control the invasive stimulation system, the automated detection of the blink event in the intact eye is used as a trigger. To achieve this, the new approach to single channel invasive electromyogram (EMG) signal analysis is proposed. Materials and Methods. The combined time-spectral approach to blink detection consists of the two stages, starting from the thresholding of filtered EMG signals in the sliding window, which is followed by comparing the total spectral power in the Fourier domain to minimum and maximum thresholds. If both conditions are met, the EMG in the current window is considered to contain the blink event. In the experiment, the EMG data recorded from the one male adult healthy volunteer is used, the signal contained an acceptable amount of artefacts and was recognized as reflecting the usual EMG. The true positive rate (TPR), positive predictive value (PPV), False Discovery Rate (FDR), and False Negative Rate (FNR) is used as a performance metrics. Results. In the result of applying the proposed blink detection algorithm with 500 ms duration of the time window and 100 ms overlap, the following performance metrics are obtained: TPR = 93%, PPV = 63%, FDR =7%, FNR = 37%. Impact. Acceptable true positive rate of blink detection suggests the method is promising for wider applications in the clinical settings and might be incorporated in the prototypes of implanted systems for facial muscle paralysis restoration using functional electrical stimulation for further development.
Samii M., Matthies C. (1994). Indication, technique and results of facial nerve reconstruction. Acta Neurochirurgica, Vol. 130(1-4), pp. 125–139. DOI: 10.1007/bf01405512.
Manni J. (2012). Atlas of Surgery of the Facial Nerve. Chapter-18 Facial-Hypoglossal Nerve Jump Anastomosis for Reanimation of the Paralyzed Face. Jaypee Brothers Medical Publishers (P) Ltd., 2nd ed., pp. 177–177. DOI: 10.5005/jp/books/11709_18.
Tretiak I.B. (2007). Prolonged electrical stimulation of peripheral nerves and plexus damage. Ukrainian Neurosurgical Journal, Vol. 2 (2007), pp. 58-61. DOI: 10.25305/unj.130686. [In Russian].
Willand M. P. (2015). Electrical stimulation enhances reinnervation after nerve injury. European Journal of Translational Myology, Vol. 25, Iss. 4. DOI: 10.4081/ejtm.2015.5243.
Bigard A.-X. et al. (1993). Effects of surface electrostimulation on the structure and metabolic properties in monkey skeletal muscle. Medicine & Science in Sports & Exercise, Vol. 25, Iss. 3, p. 355-362. DOI: 10.1249/00005768-199303000-00010.
Gittins J., Martin R., Sheldrick J., Reddy A., Thean L. (1999). Electrical stimulation as a therapeutic option to improve eyelid function in chronic facial nerve disorders. Investigative ophthalmology & visual science, Vol. 40, Iss. 3, pp. 547-554.
Mokrusch T., Neundörfer B. (1994). Electrotherapy of permanently denervated muscle: long-term experience with a new method. European journal of physical medicine & rehabilitation, Vol. 4, Iss. 5, pp. 166-173.
Salerno G., McClellan G. A., Bleicher J. N., Stromberg B. V., Cheng S.-C. (1991). Electrical Stimulation Treatment of Dog's Denervated Orbicularis Oculi Muscle. Annals of Plastic Surgery, Vol. 26, Iss. 5, pp. 431–440. DOI: 10.1097/00000637-199105000-00004.
Kalivaraprasad B., Prasad V. M. D., Harshavardhan L. (2021). Development of Blink Restoration Model for Facial Paralysis Detection. Journal of Physics: Conference Series, 1804, 012175. DOI: 10.1088/1742-6596/1804/1/012175.
Frigerio A., Cavallari P., Frigeni M., Pedrocchi A., Sarasola A., Ferrante S. (2014). Surface Electromyographic Mapping of the Orbicularis Oculi Muscle for Real-Time Blink Detection. JAMA Facial Plastic Surgery, Vol. 16, Iss. 5, pp. 335–342. DOI: 10.1001/jamafacial.2014.283.
Jia J., Yi X., Wang M., Wang G., Deng S., Shen G. (2012). A blink restoration system with contralateral EMG triggered stimulation and real-time software based artifact blanking. 2012 IEEE International Symposium on Circuits and Systems, pp. 1536-1539. DOI: 10.1109/iscas.2012.6271543.
Yu Y., Liu Y., Yin E., Jiang J., Zhou Z., Hu D. (2019). An Asynchronous Hybrid Spelling Approach Based on EEG–EOG Signals for Chinese Character Input. IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol. 27, No. 6, pp. 1292-1302. doi: 10.1109/TNSRE.2019.2914916.
Huang Q., Zhang Z., Yu T., He S., Li Y. (2019). An EEG-/EOG-Based Hybrid Brain-Computer Interface: Application on Controlling an Integrated Wheelchair Robotic Arm System. Frontiers in neuroscience, 13: 1243. DOI: 10.3389/fnins.2019.01243.
Baruaa S., Ahmed M. U., Ahlströmb C., Beguma S. (2019). Automatic driver sleepiness detection using EEG, EOG and contextual information. Expert systems with applications, Vol. 115, pp. 121-135. DOI: 10.1016/j.eswa.2018.07.054.
Batulin D., Popov A., Bobrov A., Tretiakova A. (2017). Eye blink detection for the implantable system for functional restoration of orbicularis oculi muscle. 2017 Signal Processing Symposium (SPSympo), pp. 1-4, doi: 10.1109/SPS.2017.8053650.
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