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Additional file 1: Figure S1. Map of the study area and locations of community health centers. Table S1. the NCQA-PCMH score for each CHC (x). Table S2. The Scores of the NCQA-PCMH Stratified by Levels (x̄ or x). Table S3. the relevant items of NCQA-PCMH and PCAT.

Lidar is the most effective means for real-time environmental awareness. Based on the demand of multi-channel perception lidar with large amount of data, real-time data transmission and miniaturization, a multi-channel parallel signal acquisition and processing system was designed based on FPGA and DSP. A self-developed three-dimensional lidar was designed, including mechanical scanning, linear array detection, data acquisition and control system. The system was implemented and verified in the three-dimensional point cloud imaging experiments. In this system, FPGA was responsible for multi-channel lidar data acquisition, control and transmission. DSP was used for data calculation and uploading the point cloud data to the upper computer through the network to realize the real-time display of point cloud. The experiments of lidar show that the proposed real-time data acquisition system could meet the requirements of point cloud calculation at 2 Mpts/s, with real time data acquisition and procession at 20 fps. The rapid calculation of lidar point cloud of the environment and obstacles is realized. It can be applied to automatic driving, navigation obstacle avoidance, perimeter security and etc.

A front-end preamplifier consisted of transimpedance amplifier (TIA) core, single-to-differential converter (STDC) and output buffer(OB) is proposed in this paper. The goal is to realize a low cost and high performance preamplifier to be used in the optical receiver modules based on the standard 0.5um complementary metal oxide semiconductor (CMOS) process. The regulated cascade (RGC) input structure followed by a gain stage and a resistive feedback is employed in the TIA core. The measurement results show that the chip achieves a transimpedance gain of 57.56dBΩ, -3dB bandwidth of 1.04GHz, and 18.33pA/sqrt(Hz) input referred noise current. Under a 3.3V supply voltage, the front-end TIA consumes 73.38mW and the total chip area is 941.6 × 1042.2um2 including an output buffer and testing pads.

This paper covers a micro sensor analog signal processing circuit system (MASPS) chip with low power and a digital signal processing circuit board implementation including hardware connection and software design. Attention has been paid to incorporate the MASPS chip into the digital circuit board. The ultimate aim is to form a hybrid circuit used for mixed-signal processing, which can be applied to a micro sensor flow monitoring system.