ABSTRACT
Physiological parameter monitoring is essential to medical staff to evaluate, diagnose and treat patients in neonatal intensive care unit (NICU). Monitoring in NICU includes basic vital signal monitoring and functional monitoring. Basic vital signal monitoring (including ECG, respiration, SpO2, blood pressure, temperature) is advanced and focus on study of usability, continuity and anti-interference. Functional monitoring (including respiratory function, circulatory function, cerebral function) still focus on study of monitoring precision and reliability. Meanwhile, video monitoring and artifact intelligence have presented well performance on improving monitoring precision and anti-interference. In this article, the main parameters and relevant measurement technology for monitoring critical neonates were described.
Subject(s)
Humans , Infant, Newborn , Intensive Care Units, Neonatal , Monitoring, Physiologic , Reproducibility of Results , Respiration , Technology , Vital SignsABSTRACT
OBJECTIVE@#The patient monitors were used to explore the alarm fatigue in a cardiac care unit and to investigate the awareness and reaction of nurse to alarms.@*METHODS@#A semi-structured survey was taken to acquire nurses' feeling and knowledge about monitoring alarm. Three full-time researchers were scheduled to track the alarms with annotations, and analyze the alarm data of 12 patient monitors using central monitoring system.@*RESULTS@#A total of 72 310 unique alarms occurred in the 67-day study period. About 75.7% of them were physiological alarms and less than 10% of medium-low alarms were false positives. The average alarm rate was 128 alarms/patient-day.@*CONCLUSIONS@#There remains alarm fatigue in CCU, the alarm accuracy has improved than the past by applying new technologies. In some cases, clinicians will pay more attention to trend alarm and combination alarm.
Subject(s)
Humans , Arrhythmias, Cardiac , Clinical Alarms , Electrocardiography , Monitoring, Physiologic , Surveys and QuestionnairesABSTRACT
Physiological parameters monitoring is essential to direct medical staff to evaluate, diagnose and treat critical patients quantitatively. ECG, blood pressure, SpO2, respiratory rate and body temperature are the basic vital signs of patients in the ICU. The measuring methods are relatively mature at present, and the trend is to be wireless and more accurate and comfortable. Hemodynamics, oxygen metabolism and microcirculation should be taken seriously during the treatment of acute critical patients. The related monitoring technology has made significant progress in recent years, the trend is to reduce the trauma and improve the accuracy and usability. With the development of machine vision and data fusion technology, the identification of patient behavior and deterioration has become hot topics. This review is focused on current parameters monitoring technologies, aims to provide reference for future related research.
Subject(s)
Humans , Intensive Care Units , Monitoring, Physiologic , Oxygen Saturation , Technology , Vital SignsABSTRACT
OBJECTIVE@#The patient monitors were used to explore the alarm actuality in a ICU and NICU to investigate the awareness and reaction of medical staff to alarms.@*METHODS@#A series of surveys and interviews were taken to acquire clinicians' feelings and attitudes to monitoring alarms. The researchers were scheduled to track the alarms with annotations, and collect the alarm data of patient monitors using central monitoring system.@*RESULTS@#A total of 235 387 and 67 783 alarms occurred in ICU and NICU respectively. The average alarm rate was about 142 alarms/patient-day in ICU and 96 alarms/patient-day in NICU.@*CONCLUSIONS@#There remains alarm fatigue in ICU and NICU, the main reason is the large number of false alarms and clinically irrelevant alarms. In addition, patient monitor is still in the level of threshold alarms or combined alarms, the data integrity and intelligence level need to be improved in future.
Subject(s)
Humans , Infant, Newborn , Clinical Alarms , Electrocardiography , Intensive Care Units, Neonatal , Monitoring, PhysiologicABSTRACT
OBJECTIVE@#In order to solve alarm fatigue, the algorithm optimization strategies were researched to reduce false and worthless alarms.@*METHODS@#A four-lead arrhythmia analysis algorithm, a multiparameter fusion analysis algorithm, an intelligent threshold reminder, a refractory period delay technique were proposed and tested with collected 28 679 alarms in multi-center study.@*RESULTS@#The sampling survey indicate that the 80.8% of arrhythmia false alarms were reduced by the four-lead analysis, the 55.9% of arrhythmia and pulse false alarms were reduced by the multi-parameter fusion analysis, the 28.0% and 29.8% of clinical worthless alarms were reduced by the intelligent threshold and refractory period delay techniques respectively. Finally, the total quantity of alarms decreased to 12 724.@*CONCLUSIONS@#To increase the dimensionality of parametric analysis and control the alarm limits and delay time are conducive to reduce alarm fatigue in intensive care units.
Subject(s)
Humans , Alert Fatigue, Health Personnel/prevention & control , Arrhythmias, Cardiac/diagnosis , Clinical Alarms , Intensive Care Units , Monitoring, PhysiologicABSTRACT
Sleep posture recognition is the core index of diagnosis and treatment of positional sleep apnea syndrome. In order to detect body postures noninvasively, we developed a portable approach for sleep posture recognition using BCG signals with their morphological difference. A type of piezo-electric polymer film sensor was applied to the mattress to acquire BCG, the discrete wavelet transform with cubic B-spline was used to extract characteristic parameters and a naive Bayes learning phase was adapted to predict body postures. Eleven healthy subjects participated in the sleep simulation experiments. The results indicate that the mean error obtained from heart rates was 0.04±1.3 beats/min (±1.96 SD). The final recognition accuracy of four basic sleep postures exceeded 97%, and the average value was 97.9%. This measuring system is comfortable and accurate, which can be streamlined for daily sleep monitoring application.
Subject(s)
Humans , Bayes Theorem , Beds , Polysomnography , Posture , Sleep , Sleep Apnea Syndromes , DiagnosisABSTRACT
According to the characteristics of low cost, high performance, high integration and long battery life of wearable medical devices, the mainstream low-power microcontroller(MCU) series were compared, and came to the conclusion that the MCU series based on ARM Cortex-M0+ architecture were suitable for the development of wearable medical devices. In aspects of power consumption, operational performance, integrated peripherals and cost, the MCU series based on Cortex-M0+ architecture of primary semiconductor companies were compared, aimed at providing the guides of MCU selection for wearable medical devices.
Subject(s)
Durable Medical Equipment , Electric Power Supplies , Monitoring, AmbulatoryABSTRACT
Objective To investigate the efficacy of disodium pamidronate in treatment of bone metastasis cancer .Methods 50 cases of bone metastasis cancer were divided into control group and experimental group according to different medication, 25 cases in each group.Control group was treated by chemotherapy, experimental group was treated on the basis of control group with disodium pamidronate 45 mg+0.9%sodium chloride solution 500 mL, intravenous drip.Pain maintenance time, patient pain grading and serum NTx levels were compared after treatment.ResuIts Compared with control group,pain maintenance time of experimental group was longer(P <0.05),pain level overall score was lower,NTx was lower(P <0.05). ConcIusion Disodium pamidronate can inhibit bone metastasis cancer patients with the degree of pain, reduce the levels of serum NTx.
ABSTRACT
Based on the 32-bit ultra low power microcontroller STM32L151RBT6 using ARM Cortex-M3 kernel, the portable ambulatory blood pressure monitor powered by two AA batteries was designed. In order to insure the stability of power supply and prevent overpressure of cuff, super capacitor technology and new kind of safety logic circuits were used. The experimental result shows that: this solution is accurate and stable, which has high safety coefficient and a great clinical application value.
Subject(s)
Humans , Blood Pressure Monitoring, Ambulatory , Equipment Design , SoftwareABSTRACT
Around the features of low power and high integration of portable electronic medical equipment design, the primary low power MCU series from the current semiconductor manufacturers were compared. The analysis results showed that the 32-bit MCUs based on the low cost and high energy efficient ARM Cortex-M architectures, have comprehensive advantages on power level, operational performance and integrated peripherals obviously.