A multifunctional nerve stimulator used for nerve localization and muscle relaxant monitoring
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The use of a peripheral nerve stimulator (PNS) can help an anesthesiologist accurately locate the
nerve, reduce risks of accidents, and the dose of anesthesia. The muscle relaxation monitor (MRM)
can monitor the residual state of the muscle relaxant in the patient after general anesthesia, and can
guide the doctor to extubate or use the muscle relaxant antagonist.
Through the research and analysis of the two instruments, in view of the structural and functional
similarity of the two instruments, this paper proposes a multifunctional nerve stimulator that integrates
nerve localization and muscle relaxation monitoring.
The main work of this paper includes:
1. On the basis of summarizing the theory and model of electrical stimulation, the function of different
electrical stimulators was studied and analyzed. Combined with the requirements of PNS and MRM,
the functions and of parameters multifunctional nerve stimulators were proposed.
2. The hardware system of the multifunctional nerve stimulator is designed, including the electrical
stimulation module and the muscle motion monitoring module. The electrical stimulation module
achieves the output of a wide range, high precision, multi-mode constant current pulse. The muscle
motion monitoring module quantitatively reflects the muscle relaxant depth by measuring the
acceleration of muscle contraction through an accelerometer.
3. After testing, the electrical stimulation module has a current range of 0-60 mA and a minimum
adjustment step of 0.1 mA in the condition that the human body load impedance is less than 5 kΩ. It
can realize three output modes: TOF, DB, and Twitch, meeting the clinical needs of PNS and MRM.
4. The muscle motion detection module can detect acceleration amplitude range of ±16 g and
sensitivity of 0.005 m/s^2. The performance meets the needs of clinical applications. Aiming at the
problem of large amount calculation of traditional acceleration, an optimized algorithm is proposed to
improve the computational efficiency in embedded systems.