Objective: To evaluate the application value of a digital technology-based multiparameter vital signs monitoring system in perioperative comprehensive full-cycle surveillance. Methods: A comprehensive multidimensional vital signs monitoring system was developed through the integration of medical-grade wireless wearable devices, incorporating patch-type ambulatory electrocardiographic monitor, continuous glucose monitoring sensor, pulse oximeter, wireless digital thermometer, smart wristband, and bioelectrical impedance analyzer. This system facilitates continuous real-time acquisition of multiple physiological parameters including electrocardiogram, blood glucose, oxygen saturation, body temperature, physical activity, and body composition indices. The acquired data were systematically integrated and analyzed through a four-level digital architecture consisting of nurse mobile interfaces, bedside patient terminals, centralized ward monitoring displays, and hospital management information systems. One patient with gastric cancer complicated by diabetes mellitus was selected for full-cycle digital monitoring from preoperative evaluation to hospital discharge. The technical performance of the monitoring system was assessed in terms of data acquisition continuity and timeliness of abnormal event alerts. Results: The monitoring system effectively identified early postoperative abnormalities, such as decreased oxygen saturation and blood glucose fluctuations, providing timely guidance for clinical intervention. The built-in algorithm enabled visualization of perioperative stress levels through heart rate variability indices and continuous glucose monitoring data. The patient demonstrated good compliance with early postoperative mobilization, and the satisfaction score for monitoring management was 4 points based on the Likert 5-point scale. Conclusions: The multiparameter vital signs monitoring system enhanced the precision of perioperative management through continuous and dynamic physiological status assessment. Its modular design aligns with the principles of enhanced recovery after surgery, offering a novel technological solution for intelligent perioperative management.
Humans ; Stomach Neoplasms/physiopathology* ; Vital Signs ; Monitoring, Physiologic/instrumentation* ; Diabetes Mellitus ; Wearable Electronic Devices ; Perioperative Period

Cardiovascular disease (CVD) is the leading cause of death worldwide. As the key pathological basis of CVD, arteriosclerosis holds great significance for early screening. However, existing clinical and homecare detection devices have many shortcomings; for instance, the commonly used non-invasive indicator PWV (pulse wave velocity) is easily interfered by blood pressure.This study developed a homecare arteriosclerosis monitoring system, which integrates the measurement functions of cardio-ankle vascular index (CAVI) and ankle-brachial index (ABI). The hardware design of the system includes an integrated structure of flexible silver ion electrodes and clip-type cuffs, a contact heart sound sensor, and a stepped deflation blood pressure measurement module. Meanwhile, a high-precision analog-to-digital conversion module and the STM32F405 main control chip are used to realize the synchronous acquisition of multiple signals.In terms of software, the underlying driver program was designed through MDK (Keil5), and a user interface was built on the Visual Studio platform to achieve functions such as data acquisition, display, and storage. At the algorithm level, the system adopted algorithms like the Pan-Tompkins algorithm to identify key feature points of physiological signals, and then calculate CAVI and ABI.System test results show that the ECG input noise of the system is less than 20 μV, the common-mode rejection ratio is 95 dB, and the blood pressure measurement error does not exceed 2 mmHg, which meets the design goals. Clinical data analysis indicates that CAVI is highly positively correlated with pulse wave velocity (PWV) ( r=0.85, P<0.001), but CAVI is less affected by blood pressure fluctuations. In addition, with the increase of risk factors (such as hypertension, hyperlipidemia, coronary heart disease, etc.) and age, arteriosclerosis indicators (CAVI, PWV, ABI) all show an upward trend.In conclusion, the homecare arteriosclerosis monitoring system proposed in this study not only overcomes the problems of traditional devices that rely on professional operation and are susceptible to blood pressure interference, but also provides a reliable tool for arteriosclerosis screening in home scenarios, and has important reference value for clinical diagnosis.
Humans ; Cardio Ankle Vascular Index ; Home Care Services ; Atherosclerosis/diagnosis* ; Ankle Brachial Index ; Algorithms ; Pulse Wave Analysis ; Arteriosclerosis/diagnosis* ; Monitoring, Physiologic/instrumentation*

This paper designs a bluetooth-based low-power multi-parameter monitoring system. The system is mainly composed of ECG signal acquisition, respiratory signal acquisition, body temperature acquisition, bluetooth 4.0 transmission module and Android mobile phone APP display. The system collects the corresponding physiological signals through various collection parts, and can realize the monitoring of three physiological signals of electrocardiogram, respiration and body temperature. The Android mobile APP can display ECG, respiratory waveform and temperature data in real time. The system is small in size and low in power consumption, and has a good application prospect in portable and wearable medical applications.
Body Temperature ; Cell Phone ; Electrocardiography ; Humans ; Mobile Applications ; Monitoring, Physiologic/instrumentation* ; Respiratory Rate

This study describes the development of a wireless and wearable ECG monitoring system with ultra-low power consumption. The system is mainly composed of a connection part of an ECG electrode sticker, an electrocardiogram collecting part, a data storage part, a Bluetooth main control unit, a charging module, a voltage regulator and a lithium battery. The low-power ECG acquisition chip ADS1292R and the ultra-low-power Bluetooth microcontroller nRF51822 together constitute the ECG signal acquisition and wireless data communication part. The collected ECG signals can be sent to the mobile APP through the Bluetooth function provided by the MCU, and can completly display and analysis to achieve low power system. After testing, the system power consumption is only (3.7 V×2.87 mA)10.619 mW, and if it is optimized, it can further reduce power consumption, therefore, the system design can have good applicability.
Electric Power Supplies ; Electrocardiography ; Equipment Design ; Monitoring, Physiologic/instrumentation* ; Signal Processing, Computer-Assisted ; Wearable Electronic Devices ; Wireless Technology

OBJECTIVE: To establish the system software of multi-parameter monitoring by embedded Linux kernel and Qt library. METHODS: To determine the hardware system needed for the development of the system, carry out system Bootloader (Bootloader), Linux kernel, file system and Qt/Embedded (QtE) tailoring and transplantation and application development on the basis of the hardware system, and achieve the characteristic UI design. RESULTS: The changes of physiological parameters were observed in real time to improve the stability and real-time performance of the whole system and increase users' experience with QtE. CONCLUSIONS The embedded Linux+Qt multi-reference monitoring system can improve the stability, operability and functionality of real-time monitoring and multi-physiological information, and has good extensibility and maintainability.
Computers ; Electrocardiography ; Humans ; Monitoring, Physiologic/instrumentation* ; Software

In order to diagnose and evaluate the human spinal lesions through the paravertebral muscles, a paravertebral muscle monitoring system based on surface EMG signals was designed. The system used surface mount electrodes to obtain the surface myoelectric signal (sEMG) of paravertebral muscle. The signal was filtered and amplified by the conditioning circuit. The signal was collected by the microcontroller NRF52832 and was sent to the mobile APP. After the signal was preprocessed by the wavelet threshold denoising algorithm in APP, the time and frequency characteristics of the sEMG signal reflecting the functional state of the muscle were extracted. The calculated characteristic parameters was displayed in real time in the application interface. The experimental results show that the system meets the design requirements in analog signal acquisition, digital processing of signals and calculation of characteristic parameters. The system has certain application value.
Algorithms ; Computers ; Electrodes ; Electromyography ; instrumentation ; Humans ; Monitoring, Physiologic ; Muscle, Skeletal ; Signal Processing, Computer-Assisted

A kind of miniature wireless ECG sensor is designed for mobile medicine in the paper.The miniature wireless ECG sensor acquires ECG signals of human body by single lead,and it transmits the processed ECG data to mobile phone through Bluetooth transmission technology to realize ECG waveform,heart rate display and ECG data storage.The wireless ECG sensor has the advantages of simple operation,high accuracy,strong anti-interference ability and good real-time performance.It can monitor some arrhythmia and other diseases for a long time.
Cell Phone ; Electrocardiography ; instrumentation ; Heart Rate ; Humans ; Monitoring, Physiologic ; Wireless Technology

Cardiovascular disease has become a serious disease that threatens the health of human beings, cardiac output is an important indicator of cardiovascular function, monitoring cardiac output and related hemodynamic parameters have significant clinical value. This article summarizes the development history, principle, method, advantages and disadvantages of various monitoring technologies from three aspects:invasive, minimally invasive and noninvasive, the development and application of cardiac output monitoring technology are prospected.
Cardiac Output ; Hemodynamics ; Humans ; Monitoring, Physiologic ; instrumentation

Through analyzing the existing problems in the current mode, the vital signs monitoring information system based on cloud platform is designed and developed. The system's aim is to assist nurse carry out vital signs nursing work effectively and accurately. The system collects, uploads and analyzes patient's vital signs data by PDA which connecting medical inspection equipments. Clinical application proved that the system can effectively improve the quality and efficiency of medical care and may reduce medical expenses. It is alse an important practice result to build a medical cloud platform.
Cloud Computing ; Humans ; Monitoring, Physiologic ; instrumentation ; Vital Signs

An unconstrained cardiac output detection system based on thoracic electrical impedance method and embedded technology is developed in this study. PWM function of PIC embedded MCU, PIC18F4520, and filter circuit are used to generate a constant current sinusoidal signal with a frequency of 50 kHz and a current RMS of 2 mA, which is applied as an exciting signal to the exciting electrodes located on the positions behind ears and on right lower abdomen. The thoracic electrical impedance is measured by the detecting electrodes pasted along the medial line on the front of the thorax, and is used to calculate cardiac output. A comparative experiment with the thoracic impedance method and the dye dilution method is carried out and the results are investigated. The experimental results show that the two methods have good consistency.
Cardiac Output ; Electric Impedance ; Electricity ; Electrodes ; Monitoring, Physiologic ; instrumentation ; Thorax