Sleep apnea affects quality of life and health seriously. PolySomnoGraphy （PSG） is the “gold standard” for diagnosis of sleep apnea， but it is expensive and inconvenient for long-term monitoring. Based on the above， a new method based on universal smart wristband was proposed to detect sleep apnea conveniently. In the method， by analyzing heart rate， blood oxygen saturation， and sleep state data collected by the wristband， an adaptive physiological data reconstruction method and a data interpolation method were used to achieve noise filtering； in feature engineering， continuous physiological variables and categorical variables were fused to extract sleep state features deeply； in the classification module， a lightweight Gated Recurrent Unit （GRU） model was used to simplify the training process and reduce the risk of overfitting. Experimental results show that the proposed method obtains 93.68% accuracy and 93.97% recall on a 23-person dataset. Correlation analysis shows that blood oxygen saturation， body mass index， and age are confirmed as key features for sleep apnea detection. Compared with PSG， the proposed method is more suitable for long-term monitoring in a home environment.

Concerning the MPC8247 target system based on PowerPC, the device tree was discussed and an embedded Linux system was developed, including the transplant and deployment of U-Boot, Linux kernel, Device Tree Blob (DTB) and Ramdisk file system. The actual operation of the system shows that the device tree file is correct, and the system design is rational and efficient.

Connectivity of self-organized network plays a fundamental role in the guarantee of network communications. This paper analyzed the network connectivity focusing on self-organization evolving processes of fully distributed network. We discussed local-area characteristics and neighbor selection in actual self-organized network and their effect on connectivity in particular. The theoretical analysis and simulation show the network connectivity will be at high risk in Gossip-like self-organization mechanism.

The connectedness of network is important to the communication of network. This paper lists two basic modes of connection breaking in evolving process of self-organizing network, analyses the key factor and proposes a simple and convenient links replacement algorithm based on local connected domain optimization, which can assure the connectedness in evolving processes of network. Furthermore, simulation is used to verify the validity of algorithm and to discuss the related parameters and performance metrics of the algorithm.