1.A Design of Multi-parameter Smartphone Monitoring Interface Based on J2ME
Yibao ZHENG ; Xiuwen SHAO ; Xiaoming WU ; Dongsheng XIONG
Chinese Journal of Medical Physics 2009;26(6):1513-1515,1520
Purpose: This paper introduces a design of wearable multi-parameter emluator experiment smartphone monitoring interface based on J2ME. Methods: The system carries in simulated environment of Wireless Toolkit, and the remote monitoring of multiple physiological parameters is implemented with wearable detecting technology and GPRS. Results: The system can measure real-time data such as ECG, heart rate, blood pressure, body temperature and oxygen saturation, which can also analyse the data automatically and possess warning functions. At last, the system can send parameters to intelligent handheld devices, and can establish communication with medical service center. Conclusions: The experimental result of simulation shows that the system has the excellence of transplantable, simpleness and quick speed of response. It shows that the system is expected to realize the important application of medicine in 3G era and to provide a basis for further research in telemedicine.
2. Case analysis of a male patient with uncomplicated urinary tract infection in general practice clinic
Jiatang ZHENG ; Jinglan SHAO ; Xiuwen FEI ; Yuxia KONG ; Aimei DONG ; Song GAO
Chinese Journal of General Practitioners 2018;17(8):658-660
Urinary tract infection(UTI)is a common disease of the urinary system. Based on a case of male outpatient with primary acute uncomplicated pyelonephritis and the relevant guidelines, this article analyzes the identification, diagnosis and differential diagnosis as well as comprehensive management of uncomplicated upper urinary tract infection, in order to provide information and clinical thinking for general practitioners.
3.Research advances on neurally adjusted ventilatory assist.
Yuliang SHENG ; Wei SHAO ; Yuhao WANG ; Xiuwen KANG ; Rong HU
Chinese Critical Care Medicine 2023;35(11):1229-1232
Mechanical ventilation has, since its introduction into clinical practice, undergone a major evolution from controlled ventilation to diverse modes of assisted ventilation. Conventional mechanical ventilators depend on flow sensors and pneumatic pressure and controllers to complete the respiratory cycle. Neurally adjusted ventilatory assist (NAVA) is a new form of assisted ventilation in recent years, which monitors the electrical activity of the diaphragm (EAdi) to provide an appropriately level of pressure support. And EAdi is the best available signal to sense central respiratory drive and trigger ventilatory assist. Unlike other ventilation modes, NAVA breathing instructions come from the center. Therefore, NAVA have the synchronous nature of the breaths and the patient-adjusted nature of the support. Compared with traditional ventilation mode, NAVA can efficiently unload respiratory muscles, relieve the risk of ventilator-induced lung injury (VILI), improve patient-ventilator coordination, enhance gas exchange, increase the success rate of weaning, etc. This article reviews the research progress of NAVA in order to provide theoretical guidance for clinical applications.
Humans
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Interactive Ventilatory Support
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Respiration, Artificial
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Positive-Pressure Respiration
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Diaphragm/physiology*
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Respiratory Muscles/physiology*