CAJ | 학술논문

设计完成了一种多生物电信号采集能力并能完成生物电信号模式识别和辅助诊断的复合式生物电信号检测系统。系统通过具备双通道的低噪声高共模抑制比的前置采集放大电路，可实现心电信号和表面肌电信号两种体表生物电信号的检测。通过FPGA硬件化实现的小波分解模块和在Nios域软核中实现的FFT和BP神经网络算法，可以完成对采集到的心电信号心率监测、QRS波群的检测和ST段形态识别反馈监护者的健康信息；并通过提取表面肌电信号活跃段数据和时频域参数为运动性肌肉疲劳评估提供参考。系统通过LCD屏、音频输出和SD卡存储能够完成对信号实时波形和监护参数显示、报警输出和长时间监护数据的存储。
설계완성료일충다생물전신호채집능력병능완성생물전신호모식식별화보조진단적복합식생물전신호검측계통。계통통과구비쌍통도적저조성고공모억제비적전치채집방대전로，가실현심전신호화표면기전신호량충체표생물전신호적검측。통과FPGA경건화실현적소파분해모괴화재Nios역연핵중실현적FFT화BP신경망락산법，가이완성대채집도적심전신호심솔감측、QRS파군적검측화ST단형태식별반궤감호자적건강신식；병통과제취표면기전신호활약단수거화시빈역삼수위운동성기육피로평고제공삼고。계통통과LCD병、음빈수출화SD잡존저능구완성대신호실시파형화감호삼수현시、보경수출화장시간감호수거적존저。
A composite bio-signal monitoring system is designed,which is characterized with multi-signal acquisition capabilities and can complete biological signals pattern recognition and aide diagnosis. Clear surface EMG and surface ECG waveform can be detected via different channels of the pre-acquisition amplifier circuit with low noise and high common mode rejection ratio. The wavelet decomposition module integrated in FPGA are used for heart rate and QRS complex detection,and the BP neural network on NiosIIsoft core has realized the identification of ST segment morphology. The extracted time-frequency domain parameters of surface EMG active segment can provide assessment of muscle fatigue. The system can complete display of the signal waveform and real-time monitoring parameter on the LCD screen,and alarm people by audio speaker,and store prolonged monitoring data on SD card.