The Wearble Collection,transmission,and Intellegent Processing Of Vital Signs

Wearable vital signs monitoring is a key technology which can improve the efficiency of diagnosis and treatment for the convalescent and solve the headache of expensive medicine. Its core technology relates to the collection of vital signs, the wireless transmission of signals, the design of system software, and the intelligent processing of bio-signals. The aim of our project is to provide the patients with unconstrained and comfortable monitoring services and to provide the medical staffs with the efficient clinical information of patients at all times and places. The main content of this paper is to develop a wearable vital signs monitoring system and to study the key posers and their solutions in the development process. Analyzed on the principal of wearable vital signs monitoring technology and the feasibility of system design scheme, the paper presents the targets, the solutions and architecture of the system.Based on the Soft Hardware, many functions in traditional circuit, such as high order filter and pulse driver, are carried out by the Micro Controller Unit, or even the computer. Thus, the size of miniature module is reduced to one tenth of the traditional module. The separation between detection module and wireless transmission module improves the interchangeability and interoperability of the wireless module. Furthermore, the power management circuit copes with the power competition between the wireless module and the large energy consumption circuit in detection module.The body sensor networks, constructed via ZigBee, are responsible for the high reliability and low power combustion wireless transmission of physiological signals. Buffer technology and Data Request / Acknowledge mechanism are designed to realize the real-time high throughput data transmission and the time synchronization in low rate. The paper also shows the result of immunity of networks coexisting with Bluetooth or GSM and guides the safety usage of body sensor networks.Guided by the Iterative Development Theory in Unified Process and the design principles and design patterns, the paper describes the software design process of the entire wireless monitoring base station using the unified modeling language. Based on the business modeling of wireless monitoring and the requirement analysis of use case, a reliabe, maintainable, reusable software system is designed. At last, the paper focuses on the intelligent processing of bio-signals in ambulatory environment. On the one hand, the motion artifact of vital signs is cancelled by the methods for removing it from ECG signals via synchronously acquiring the elector/skin impedance as the reference signal of adaptive filter. The results demonstrated that 3rd order RLS adaptive filter can remove 90% of the baseline shift effectively with an exciting current of 120Hz and 25μA. On the other hand, to early warn the temporary life-threatening arrhythmia, an algorithm for alarming the seriously abnormal heart rate is presented. The detection rate of severely abnormal ECG segments is 99.991%.Above of all, the implementation of the system indicates that it is practicable and improves the diagnosis and treatment and patient quality of life with lower cost, which will have wide application.