Wireless body area network-based wearable walking monitoring system and monitoring method thereof

Abstract

The invention discloses a wireless body area network-based wearable walking monitoring system and a monitoring method thereof. An adopted multi-sensor body area network collector is a wireless star sensor network formed by a plurality of sensor collection nodes and an aggregation node; motion data of various motion key parts of a human body are periodically collected through the sensor collection nodes, and sensing data are wirelessly transmitted to the aggregation node after compression processing; integration and synchronization of compressed data of various collection nodes are achieved by the aggregation node and the compressed data are transmitted to a remote motion data analysis center through the wireless network; and the motion data analysis center caries out optimization and reconstruction on the motion data and then accurately obtains the synchronously collected motion data of the sensor collection nodes for subsequent data analysis and estimation. Multi-sensor data collection, compression and synchronous reconstruction of the body area network are fused, and a data processing time slot is combined with a multi-sensor motion data compression sensing algorithm, so that the problem that the collected multi-sensor data of various sensor collection nodes are not synchronous due to a clock crystal oscillator difference and time-sharing transmission is solved.

Description

technical field [0001] The invention relates to the fields of mobile communication and telemedicine, in particular to a wearable walking monitoring system based on a wireless body area network and a monitoring method thereof. Background technique [0002] At present, the effective prevention of falls in the elderly has become the focus of increasing attention of the whole society. Accurately monitoring the changes of walking function in the elderly is of great significance for early evaluation of the risk of falls in the elderly and improving the quality of daily life of the elderly. [0003] In recent years, related research at home and abroad is mainly based on the structural characteristics of human body movement, trying to explore advanced technologies such as mobile Internet, wireless communication, embedded systems, and micro MEMS sensors to explore remote human walking with networking, wearable, low power consumption, and low cost. Activity Monitoring System. Buildi...

AI Technical Summary

Problems solved by technology

For example, Chinese Publication Patent No. CN103079289A discloses a wireless multi-person sports data collector and collection method, and proposes a wireless sensor network time synchronization algorithm based on the time slot allocation relationship to establish the entire sensor data collection system. However, The system synchronization initiator of this method is the data aggregation node. In fact, the timing system of each sensor acquisition node is independent, and it is difficult to form a unified system clock. Affected by this, it is difficult for multiple sensor acquisition nodes to transmit data at the same time.

In general, the current research only seeks to solve the above key problems at the level of multi-sensor data acquisition, and fails to find an effective technical solution from the overall consideration of the overall system architecture.

Images