To address TCM decoction challenges including error-prone manual dosage/frequency recording and medication psychological burden caused by complex operational procedures, this study designs an AI medical assistant based on STM32F407 MCU and ESP32 module with integrated voice recognition technology. The system uses STM32F407's high-performance processing core, integrates WiFi for real-time cloud data upload, and Bluetooth for mobile terminal synchronization. It features voice recognition for hands-free dosage input, voice prompts for medication guidance, buzzer alarm, button input, and LCD display. The built-in AI assistant employs a golden spiral microphone array to optimize audio recognition, reducing Word Error Rate (WER) by3.75% compared to traditional uniform circular arrays at0.50-4.00m, thereby enhancing medication management intelligence and user-friendliness through intuitive voice interaction.

Baizhen Zhu, Huiqin Sun, AI traditional Chinese medicine Assistant Based on MCU. International Journal of World Medicine (2026), Vol. 7, Issue 1: 18-27. https://doi.org/10.38007/IJWM.2026.070103.

[1] O. Ibrahim, Y. Nejat, A Novel Spaceborne Antenna Repositioning Method for Reliable Communication in Inclined Satellites, International Journal of Satellite Communications & Networking, 43 (2025) 318-332.

[2] S.J. Peale, The Origin of the Natural Satellites - ScienceDirect, Treatise on Geophysics, 10 (2007) 465-508.

[3] X. Zhou, H.P. Lee, H. Li, Y. Fan, X. Ma, Innovative Wrinkle-Suppressing Design for Satellite Phased Array Antennas,  International Conference on Computational & Experimental Engineering and Sciences, 3 ( 2025) 899-909.

[4] M.A. Ingram, R. Romanofsky, R.Q. Lee, F. Mir, Z. Popovic, J. Langley, W.C. Barott, M.U. Ahmed, M. Dan, Optimizing Satellite Communications With Adaptive and Phased Array Antennas, Earth Science and Technology Conference, USA, (2004) 1-7.

[5] K. Ohata, K. Kobayashi, K. Nakahira, M. Ueba, Broadband and scalable mobile satellite communication system for future access networks, Acta Astronautica, 57 (2005) 239-249.

[6] A. Destounis, A.D. Panagopoulos, Dynamic Power Allocation for Broadband Multi-Beam Satellite Communication Networks, IEEE Communications Letters, 15 (2011) 380-382.

[7] S. Verma, Advanced Satellite Communications Systems & Services, in: E.D. Re, M. Ruggieri (Eds.) Satellite Communications and Navigation Systems, Springer US, Boston, MA, (2008) 513-516.

[8] M. Sarkar, A. Nayak, S. Nanda, S. Patnaik, Non-orthogonal Multiple Access (NOMA) Channel Estimation for Mobile & PLC-VLC Based Broadband Communication System, International Journal of Sensors, Wireless Communications and Control, 15 (2025) 30-39.

[9] J. Peng, H. Zhu, C. Gao, H. Liang, D. Du, S. Fan, R. Wang, Z. Qian, A Low-Profile 2-D Multibeam Multifeed Antenna Array With Millimeter-Wave Applications, Antennas and Propagation, IEEE Transactions on, 73 (2025) 588-593.

[10] Y.F. Hestrio, M. Soleh, A. Hidayat, H. Afida, H. Gunawan, A. Maryanto, Satellite data receiving antenna system for pleiades neo observation satellite, Journal of Physics: Conference Series, 1763 (2021) 012019.

[11] W. Sun, Z. Chen, L. Li, C. Shen, K. Yu, S. Li, J. Long, H. Zheng, L. Wang, T. Long, A chip-integrated comb-based microwave oscillator, Light: Science & Applications, 14 (2025)  276811.

[12] Xu, J.; Fan, S.; Zhao, Z.; Li, F.; Zhang, Y. Deep reinforcement learning-based dynamic multi-beam power allocation for GEO-LEO co-existing satellites. Acta Astronautica, 223 (2024) 197-209.

[13] Hu, X.; Liu, S.; Wang, Y.; Xu, L.; Zhang, Y.; Wang, C.; Wang, W. Deep reinforcement learning-based beam Hopping algorithm in multibeam satellite systems. IET Communications, 13 (2019), 2485-2491.

[14] S. Zhai, T. Hui, X. Gong, Z. Zhang, X. Gao, K. Yang, High performance receiving and processing technology in satellite beam hopping communication, Systems Engineering and Electronics Technology, 35 (2024) 815-828.

[15] W. Ren, B. Wang, J. Sun, Y. Hong, Inter-satellite link allocation in low-earth-orbit mega-constellation networks, The Journal of Supercomputing, 81 (2025) 1163.

[16] Q. Yang, D.I. Laurenson, J.A. Barria, On the Use of LEO Satellite Constellation for Active Network Management in Power Distribution Networks, IEEE Transactions on Smart Grid, 3 (2012) 1371-1381.