ABSTRACT
To develop an intelligent lower limb rehabilitation instrument which could realize the quantification and visualization of lower limbs' raising angle and frequency, using the smart client to realize the remote control, autonomous data acquisition and the establishment of database. Doctors had the access to the database in order to adjust the rehabilitation program in time to meet the individual requirement. We realized the design of intelligent lower limb instrument based on the Andriod smartphone, which is suitable for clinical and family use.
Subject(s)
Humans , Computers , Databases, Factual , Leg , Mobile Applications , Rehabilitation , SmartphoneABSTRACT
A kind of portable device for detecting common lung function parameters is mentioned in this paper. Using the singlechip microcomputer as the master control block to collect and process the data from high-accuracy gas pressure sensor, through the way of parametric calibration and linear interpolation to test and calculate the Forced Vital Capacity (FVC), Peak Expiratory Flow (PEF), Forced Expiratory Volume in one second (FEV1), and FEV1/FVC. Meanwhile, the detected parameters can be uploaded to the intelligent mobile terminal through the wireless transmission module. The device is able to show expiratory volume-time curve and the final parameters clearly, the error of measurement is less than 5%. In addition, that device is small and convenient, not only is good for clinical application, but also can be used for family in a house.
Subject(s)
Forced Expiratory Volume , Internet , Respiratory Function Tests , Spirometry , Vital CapacityABSTRACT
Objective To implement a systematic anatomy learning system based on android platform and evaluate the application effects of the learning system in clinical medical undergraduate students.Methods The systematic anatomy learning system was based on android development package and correlation functions were implemented using java technique.108 undergraduate students in clinical major of 2014 in Kunming Medical University were selected and randomly divided into experimental group and control group.Students of the experimental group were given the traditional teaching method and this learning system for autonomous learning,while students of the control group were given the traditional teaching method.These two teaching methods were subjectively and objectively evaluated by questionnaire survey and final examination respectively.Results The questionnaire showed that the 87.5％ of students thought that it was necessary to use the learning system.The 90.74％ of students in experimental group thought their learning effect were improved and the 98.15％ of them thought themselves learning ability were improved.The average score of the experimental group and the control group was 83.56 ± 5.61 and 75.33 ± 4.62 respectively.The difference between the two groups was statistically significant (P＜0.05).Conclusion The systematic anatomy learning system can help students to understand and grasp the knowledge points of the systematic anatomy,and it can improve the teaching effect too.It will provide research foundation for the next step of applying for patent.
ABSTRACT
Based on the Android platform, a portable electrochemical analyzer was designed for the detection of heavy metal ions. Its output voltage range was ±3 V with accuracy of 0. 1% and resolution of <1 mV. The current acquisition range was±10 mA with accuracy of 0. 1% and the minimum resolution of 10 pA. With the human-computer interaction advantage of Android smart devices, professional and fast detection mode which could meet the needs of professional and ordinary users respectively were developed to simplify the complex process of electrochemical detection and analysis. Some common heavy metal ions including copper, cadmium, lead and mercury were detected with this detector. The results of linearity, repeatability and accuracy were satisfactory.
ABSTRACT
Objective:In the Social background that the increasingly serious problem of ageing population. Tele-home Health Management System(THMS)is constructed for elderly people founded on Android platform.Methods: On the basis of analyzing system requirements, establishing system firmaments, utilizing Client/server structure.Results: Building an Android-based health management system for old people staying at home to know their health condition and get health guidance on time and for the doctors to get access to patients' medical history.Conclusion: Android elderly home-based health management system has broad application prospects for resolving the digital medical problems in health management provides ideas and solutions.