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Nowadays, traditional Chinese medicine (TCM) is attracting more attention. As the most complete methods of pulse diagnosis, the method named ‘three regions nine subdivisions’ has come to the fore. It is important to collect accurate pulse signals in this way. Hence a pulse signal acquisition system is developed, which includes a pulse sensor based on PVDF (Polyvinylidene fluoride) piezoelectric film, charge amplifier, low-pass filter, voltage amplifier, voltage follower, and a software system based on LabVIEW for controlling the acquisition process and storing data. And PVDF piezoelectric film has suitable performance for this system which as a new kind of polymer piezoelectric material. Finally, the experiment results demonstrate that the system can extract effective pulse signals without heavy pressure, laying a solid foundation for the subsequent analysis on pulse signals.

The ring oscillator (RO) is applied to many modern circuits given its simplicity, low-area-cost, low-power. However, the temperature-drifting propagation delay of logic gates makes the RO a difficult solution for frequency reference design in deep submicron process. This work presents the design and implementation of a temperature self-compensation architecture based on a balanced hybrid ring oscillator (BHRO) for precise temperature compensation and clock-on-chip applications. The proposed BHRO is formed by both PTAT (proportional to the absolute temperature) and CTAT (complementary to absolute temperature) delay cells to implements RO-internal compensation. The features include temperature-self-compensation, process insensitive and lowarea-cost. Four different test chips are fabricated in the 0.13μm CMOS process. The measurement result exhibits two performance-friendly BHRO architectures with a best temperature coefficient of 31 ppm/℃ over -55℃ to 80℃, which is among the lowest to our best knowledge. The output compensated frequency is verified to be adjustable varying from 6.95 MHz to 26.5MHz, which are the highest as we have known.

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In recent years, Traditional Chinese Medicine (TCM) has attracted more and more attention due to its good therapeutic effect, low cost, and convenience. This research is also a part of the goal of the modernization of TCM. Based on the meridian electric potential acquisition system independently developed by our project team, in this paper, we designed the human body's meridian electric potential acquisition scheme. We use principal component analysis (PCA) to prove that the meridional potential signal is derived from the ECG signal. Then, Inception ResNet V2 was used to classify acupoints and nonacupoints. Finally, the classification accuracy rate reached 86.59045265, and the F1 score = 0.72161642. This shows that acupoints and nonacupoints can be distinguished by their surface potential.