A High-Frequency(10KHZ) Biphasic H-Bridge Architecture for Information-Theoretic Labor Pain Suppression

Traditional Transcutaneous Electrical Nerve Stimulation (TENS) relies on low-frequency (50-150Hz) gatecontrol mechanisms, which often provide inconsistent relief during active labor. This paper proposes a novel "Neural Jamming" approach based on the Shannon-Hartley Theorem. We present a 60 V biphasic H-bridge driver design capable of generating a 10 KHz signal. Simulation results in Multisim confirm a stable +12mA and-12mA current output with integrated dead-time to prevent hardware failure. This architecture serves as a foundational design for a low-cost wearable medical device for maternal health. 2.INTRODUCTION Maternal labor pain is a complex neurological event. Current non-invasive solutions are often limited by nerve adaptation to low-frequency signals. This research shifts the paradigm from "distraction" to "information blockade." By treating the nerve as a communication channel with finite bandwidth, we can apply telecommunications principles to effectively "jam" pain signals before they reach the central nervous system. This research proposes a smart, closed-loop neural jamming system. By utilizing Electrohysterogram (EHG) signals-derived from abdominal Electromyography (EMG) the system can automatically detect the onset and intensity of a contraction. This real-time data allows the microcontroller to adjust the Shannon-based "Noise Wall" dynamically, providing maximum jamming power only when the pain signal (S) is at its peak. 3.THEORETICAL FRAMEWORK 3.1 Shannon-Hartley Law Application We model the pain-conducting A delta and C nerve fibers as a channel with capacity C: 𝐶 = 𝐵𝑙𝑜𝑔 2 (1 + 𝑆 𝑁) Here, B=Nerve Bandwidth S=Pain Signal N=Injected High Frequency Noise By delivering a 10 kHz biphasic pulse at 12mA, we increase N significantly, forcing C toward zero. This ensures the "information" of pain cannot be transmitted. 4.CIRCUIT DESIGN &METHODOLOGY 4.1 PROPOSED EHG Signal Acquisition & Processing To achieve automatic pain detection, the system incorporates an abdominal EMG/EHG sensing front-end. The EHG signal, which represents the electrical activity of the uterine muscle, is filtered to isolate the 0.1 Hz to 5.0 Hz frequency band, separating it from maternal heart rate and skeletal muscle noise. 4.2 PROPOSED Microcontroller-Based Intelligent Control The processed EHG signal is fed into a microcontroller (e.g., ESP32 or Arduino-based architecture). The control logic follows an autonomous loop: Sense: Continuous monitoring of uterine electrical activity. Analyze: Real-time detection of contraction bursts using a threshold-based algorithm. Adjust: When a contraction is detected, the microcontroller triggers the IR2110 to deliver the 10kHz biphasic current. Feedback: The system scales the Duty Cycle (67%) and Amplitude (12 mA) proportionally to the contraction intensity to optimize the Shannon-Hartley Jamming effect. 4.3 Power Stage The system utilizes a 60V DC rail to ensure constant current delivery despite varying skin impedance. The Hbridge consists of four IRF540N MOSFETs driven by the IR2110 High/Low Side Driver. 4.4 Signal Isolation and Safety Optoisolation: High-speed optocouplers isolate the control logic from the high-voltage power stage. Dead-Time Implementation: A 3 micro second to 5 micro second delay is implemented between switching phases to prevent "shoot-through" currents.