In order to effectively prevent the damage to the human body caused by abnormal oxygen concentration in the medical hyperbaric oxygen chamber, a ZigBee-based medical hyperbaric oxygen chamber oxygen concentration automatic control system is designed. The data acquisition module uses the microprocessor STM32F103C8T6 to receive the oxygen concentration data of each acquisition point, and the ZigBee of the data processing module transmits the processing results to the MSP430G2553 single-chip microcomputer at the receiving end of the slave. The MSP430G2553 single-chip microcomputer uses a self-organizing TS fuzzy neural network (SOTSFNN) and adds activation. The intensity concept realizes automatic control of the oxygen concentration in the hyperbaric oxygen chamber, and controls the buzzer to give an alarm when the oxygen concentration is lower than 19 mg/L and higher than 23 mg/L, and displays the current real-time oxygen concentration through LCD12864. The experimental results show that as the communication distance increases, the packet loss rate of the system is always lower than 5%, and the signal strength under the same communication distance is better; the system can effectively control the oxygen concentration value within the set range, and the oxygen concentration. The control accuracy is high and the stability is good.
Humans ; Hyperbaric Oxygenation ; Microcomputers ; Oxygen

Aiming at the current situation of performance testing of hemodialysis extracorporeal circulation tubing, which has slow efficiency, inaccurate measurement, and inconvenient testing, a portable detection system for testing the performance of hemodialysis extracorporeal circulation tubing is designed. The system mainly includes a hardware system and a software system. The hardware system uses STM32F407 single-chip microcomputer as the core to design the driving control of the roller pump; the software system uses the C++ real-time operating system, and the flow detection data is transmitted to the upper computer through RS485 communication and displayed. Experimental showed that the system detects the accuracy and the stability of the flow rate. It has the characteristics of stability and high precision. The relative error of the experimental measurement is within the range of ±10%. The weight of the whole machine is 2 kg, which improves the efficiency by 50% compared with the traditional detection method.
Computers ; Equipment Design ; Extracorporeal Circulation ; Microcomputers ; Renal Dialysis ; Software

Aiming at the low efficiency and low quality detection level of the manual infusion set, a gas detection system for infusion set based on STM32 single-chip microcomputer was designed. The detection system includes hardware system design and software system design. The hardware system is based on the STM32F103 single-chip microcomputer. It mainly designs the gas pressure sensor acquisition circuit and the multi-way solenoid valve control circuit. The software system uses a C ++ real-time operating system to ensure system monitoring's real-time performance and validity. Test data is transmitted to the upper computer and displayed via USB serial communication. The experiment proves that the infusion set gas detection system can perform gas detection on the infusion set. The system has the characteristics of stability and high accuracy. The relative error of the experimental measurement is within ±5%, and the detection efficiency is better than manual detection.
Computers ; Equipment Design ; Microcomputers ; Software

OBJECTIVE: A remote multi-part personal radiation dose detection system is designed with ATmega32A single chip microcomputer as the control core. METHODS: First of all, the geiger counter tube module collects the radiation signal of the surrouding environment. Secondly, using ATmega32A Microprocessor of Slave computer to calculate the collected signal. Finally, it is sent to the host receiving device or mobile APP through Bluetooth module,so as to realize real-time detection of radiation data, remote transmission and security alarm. RESULTS: The system is measured in the same environment as the RG1100 radiometer, with a maximum difference of 0.03 μSv/h.This shows that it can stably realize the functions of radiation measurement, monitoring, alarm, remote connection and multimodal display. CONCLUSIONS The system has the advantages of good portability (easy to carry), low power consumption, accurate measurement and so on. It has certain reference value and practicability.
Equipment Design ; Microcomputers ; Radiation Dosage ; Wireless Technology

This study designs an intermittent pneumatic pressurization device with STM32 series single chip as the core. The working state of the air pump and the plurality of air chambers is controlled by the IO port of the single chip microcomputer, and the circulating inflation of the plurality of air bags is realized. The pressure monitoring system consists of a silicon piezoresistive pressure sensor, a high-precision operational amplifier and a 12-bit AD converter which monitors the gas pressure of each gas path in real time to ensure the safety of the equipment. The system is easy to operate, simple in function, and has strong practicability.
Blood Circulation ; Cardiovascular System/physiopathology* ; Equipment Design ; Humans ; Microcomputers ; Pressure

Manually reviewing electroencephalograms (EEGs) is labor-intensive and demands automated seizure detection systems. To construct an efficient and robust event detector for experimental seizures from continuous EEG monitoring, we combined spectral analysis and deep neural networks. A deep neural network was trained to discriminate periodograms of 5-sec EEG segments from annotated convulsive seizures and the pre- and post-EEG segments. To use the entire EEG for training, a second network was trained with non-seizure EEGs that were misclassified as seizures by the first network. By sequentially applying the dual deep neural networks and simple pre- and post-processing, our autodetector identified all seizure events in 4,272 h of test EEG traces, with only 6 false positive events, corresponding to 100% sensitivity and 98% positive predictive value. Moreover, with pre-processing to reduce the computational burden, scanning and classifying 8,977 h of training and test EEG datasets took only 2.28 h with a personal computer. These results demonstrate that combining a basic feature extractor with dual deep neural networks and rule-based pre- and post-processing can detect convulsive seizures with great accuracy and low computational burden, highlighting the feasibility of our automated seizure detection algorithm.
Animals ; Dataset ; Electroencephalography ; Epilepsy ; Mice ; Microcomputers ; Seizures*

BACKGROUND: Volume models made from magnetic resonance images on computed tomographs can produce horizontal, coronal, sagittal, and oblique planes that are used widely in clinics, although detailed structures cannot be identified. Existing real color volume models are mostly commercial and their production methods have not been released. The aim of this study was to distribute free of charge, real-color volume models produced from sectioned images with the production method. METHODS: The original voxel size of sectioned images was increased appropriately so that the volume model could be handled by typical personal computers. By using Dicom Browser and MRIcroGL, the sectioned images were processed to become the volume models. RESULTS: On the MRIcroGL, the resultant volume model with the voxel size of 0.5 × 0.5 × 0.5 mm3 could be displayed and freely rotated. By adjusting variables of the software, desired oblique planes could be produced instantly. With overlay function, a model of segmented structure can be overlapped to the entire volume models. The sectioned images with high quality and the segmentation data of Visible Korean enabled the identification of detailed anatomical structures on the planes. CONCLUSION: The volume models can be used by medical students and doctors for learning sectional anatomy. Other researchers can utilize the method of this study to produce volume models from their own sectioned images.
Anatomy, Cross-Sectional ; Computer Simulation ; Humans ; Imaging, Three-Dimensional ; Learning ; Methods ; Microcomputers ; Students, Medical ; Visible Human Projects

OBJECTIVE: A tablet device has several medical applications because it's portability. Most importantly, its powerful graphics and touch-based features have several benefits in the surgical field, especially for generating three-dimensional (3D) images based on patients' computed tomography (CT) scans. METHODS: In this study, 3D objects were manipulated by an operator on an iPad during several laparoscopic surgeries of intra-abdominal organs. Before surgery, 3D structures, such as vessels, soft tissues, and bones, were reconstructed by the surgeon using the patients' CT scans on the patients' bed-side personal computer. RESULTS: In this study, 3D image-guided surgeries were performed using an iPad in five patients. The benefits of this technique were recorded and analyzed in detail by the surgeon. CONCLUSION: Although in a pilot phase with unresolved issues, direct intra-operative handling of a patient-tailored 3D model developed using a tablet device could be useful compared with conventional two-dimensional imaging.
Humans ; Laparoscopy ; Microcomputers ; Surgery, Computer-Assisted* ; Tomography, X-Ray Computed

BACKGROUND: The primary outcome of sugammadex reversal for rocuronium-induced neuromuscular block (NMB) is a train-of-four ratio (TOFR) of 0.9, not first twitch (T1) height. We investigated whether the recovery of TOFR or T1 differs based on the reversal of NMB with neostigmine or sugammadex. METHODS: The acceleromyographic responses from 0.6 mg/kg of rocuronium were monitored supramaximally in 80 patients after induction of anesthesia. The TOFR and T1 height were recorded, and saved in a personal computer using TOF-Watch SX Monitor software in all patients. Patients were randomly assigned to 2 groups to receive either neostigmine 50 µg/kg with glycopyrrolate 10 µg/kg (neostigmine group, n = 40) or sugammadex 2.0 mg/kg (sugammadex group, n = 40). The primary objective was to determine the difference of recovery time between TOFR to 0.9 and T1 to 0.9 after sugammadex or neostigmine administration during moderate rocuronium-induced NMB. RESULTS: The recovery pattern of the TOFR 2 min after sugammadex administration was 1.0 or more, but that of T1 was less than 90% (T1 / control value) up to 6 min after drug was injected. The recovery pattern of TOFR and T1 was similar during the 20 min after reversal with neostigmine. CONCLUSIONS: If you have not performed the T1 monitoring, both TOFR and T1 should be considered to confirm suitable recovery during the 6 min after reversal with sugammadex during rocuronium-induced moderate NMB.
Anesthesia ; Depression* ; Glycopyrrolate ; Humans ; Microcomputers ; Neostigmine ; Neuromuscular Blockade* ; Neuromuscular Monitoring

PURPOSE: The objective of this study was to measure secondhand smoke (SHS) exposure in personal computer (PC) rooms with the purpose of determining the strength of scientific evidence supporting the legislative ban on smoking in PC rooms located in the Republic of Korea. MATERIALS AND METHODS: From June to September 2012, particulate matter (PM2.5) and air nicotine concentration (ANC) were measured in the smoking and non-smoking areas of PC rooms in Goyang City, Korea. In 28 randomly sampled PC rooms, field investigators completed an observational questionnaire on building characteristics, smoking policies, and evidence of smoking. The geometric means (GM) of PM2.5 and ANC in smoking and non-smoking areas were compared. RESULTS: Evidence of smoking was identified in both the smoking and non-smoking areas of all PC rooms. The GMs of PM2.5 and ANC in both areas were high and did not differ significantly (174.77 μg/m3 and 48.95 μg/m3 in smoking areas; 93.38 μg/m3 and 41.30 μg/m3 in non-smoking areas). Overall PM2.5 concentrations were 5.5-fold higher than those listed in the World Health Organization guidelines. CONCLUSION: This study supported previous reports that a partial smoking ban did not protect individuals from SHS exposure. Furthermore, the results from our study suggest how research can support policy. Countries in which smoke-free policies are not yet comprehensive may find our results useful.
Humans ; Korea* ; Microcomputers ; Nicotine ; Particulate Matter ; Republic of Korea ; Research Personnel ; Smoke ; Smoke-Free Policy ; Smoking ; Tobacco Smoke Pollution* ; World Health Organization