基于超低功耗专用集成芯片与柔性电路的高精度长效连续生理体征监测

WearableIoMT 将达到医院监护仪临床精度的电生理监测延伸至院外日常生活场景,深度融合自适应运动伪影消除算法与片上超低功耗微型机器学习 (TinyML),实现对隐匿性阵发性心律失常的毫秒级实时捕捉与报警。

WearableIoMT Body Area Network Topology

Sub-Microwatt Sensor Fusion and Cryptographic Uplink

Central System: BAN Sensor Hub - Ultra-Low Power SoC

Clinical IoMT Nodes

  • AFE Photoplethysmography
  • Multi-Lead Bio-Potential
  • BLE 5.3 Coded PHY
  • Secure Element PUF
  • Local Edge TinyML

Architectural Layers & Regulatory Standards

  • Analog Front-End (AFE) Sensing (24-bit Delta-Sigma ADC / CMRR > 115 dB): High-impedance bio-potential instrumentation amplifiers with active electrode motion cancelation.
  • Micro-Power Signal Preprocessing (ARM Cortex-M33 / CMSIS-DSP Vector Kernels): Wavelet filtering and R-peak detection executed on dedicated ultra-low-power DSP co-processors.
  • Body Area Network Transport (IEEE 802.15.6 / Bluetooth 5.3 Coded PHY): Short-range wireless propagation conforming to medical Body Area Network standards.
  • Encrypted Telemetry Dispatch (NIST SP 800-38C AES-CCM / ECDH P-256): AES-CCM authenticated encryption pairing sensor patches with patient smartphone gateways.

Key Metrics: < 15 µW (Active Sensor Power Consumption) | 250 Hz (Multi-Lead ECG Sampling Frequency) | AES-CCM (Over-the-Air Encryption Standard) | 14 Days (Continuous Patch Battery Autonomy)

柔性生物粘合剂上的临床电生理监测

Hospital Holter monitors are bulky and discourage patient compliance. WearableIoMT introduces miniature biocompatible adhesive patches that monitor multi-channel ECG, respiration, temperature, and pulse oximetry for up to two weeks on a single zinc-air battery.

Core Engineering Areas

Technical Articles

Related Cluster Architecture Specifications