Improved method and tools with automatic adjustment of electrical signal parameters for detection of the reverse laryngeal nerve

The concept of using electromyography during thyroid gland surgery is considered. The electrophysiological features of surgical wound tissues, namely the muscle membrane potential of the vocal cord, were investigated. The analysis of EMG hardware that can be used during thyroid gland operations is carried out. The choice of EMG sensor characteristics that can be implemented in the existing complex of RLN monitoring is justified. The complex of RLN monitoring is based on a single-board computer, Raspberry Pi 4 Model B. A description of additional hardware elements to combine complex sensor and software for its functioning is provided. The developed EMG sensor was tested on a different type of low-voltage signals. It was able to detect signals and it forms 197 uV (1 Hz), 556 uV (20 Hz), and 1650 uV (10 Hz). The tests conducted show that the developed EMG sensor can detect the muscle membrane potential of the vocal cord.