In view of the high incidence of malignant diseases such as malignant arrhythmias in the elderly population, accidental injuries such as falls, and the problem of no witnesses when danger occurs, the study developed a human vital signs and body posture monitoring and positioning alarm system. Through the collection and analysis of electrocardiogram (ECG), respiration (RESP) and acceleration (ACC) signals, the system monitors human vital signs and body posture in real time, automatically judges critical states such as malignant arrhythmias and accidental falls on the local device side, and then issues alarm information, opens the positioning function, and uploads physiological information and patient location information through 4G communication. Experiments have shown that the system can accurately determine the occurrence of ventricular fibrillation and falls, and issue position and alarm information.
Humans ; Aged ; Arrhythmias, Cardiac/diagnosis* ; Ventricular Fibrillation ; Electrocardiography ; Accidental Falls ; Vital Signs ; Posture ; Monitoring, Physiologic

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.
Humans ; Infant, Newborn ; Intensive Care Units, Neonatal ; Monitoring, Physiologic ; Reproducibility of Results ; Respiration ; Technology ; Vital Signs

OBJECTIVE: Non-contact continuous blood pressure monitoring is significant in vital sign monitoring. Frequency modulated continuous wave (FMCW) radar is suitable for non-contact wave signal extraction. A heartbeat-guided blood pressure monitoring algorithm using FMCW radar is proposed. METHODS: The target heart rate is detected and pulse wave signal is extracted based on FMCW reflected signals. The variational mode decomposition (VMD) is introduced to alleviate the interferences of human breath and slight body movements. The pulse wave signal is extracted based on target heart rate. Blood pressure related features of pure pulse waveform are extracted to obtain blood pressure based on its estimation model. RESULTS: Experiments are conducted indoor among 15 participants sitting in a nature state. The average accuracy of diastolic blood pressure (DBP) is 94.3% and that of systolic blood pressure is 94.4%. CONCLUSIONS The experimental results demonstrate the robustness and effectiveness of the proposed algorithm, which makes it possible to further achieve long-term real-time non-contact blood pressure monitoring.
Algorithms ; Blood Pressure ; Blood Pressure Determination ; Heart Rate ; Humans ; Radar ; Signal Processing, Computer-Assisted ; Vital Signs

In order to obtain the three-dimensional pulse information and blood pressure waveform needed in the study, a radial artery simulation platform with programmable controlled injection pump as the core was constructed by using the circulation theory of human cardiovascular system and pulse wave formation mechanism. Gaussian function model was selected to synthesize multi-type pulse wave to program and drive the platform. The three-dimensional pulse information and blood pressure waveform of the simulated radial artery were collected by binocular visual pulse detection system and pressure transmitter respectively, and the platform stability and repeatability were tested by Pearson correlation. The experimental results show that the radial artery simulation platform is stable, reliable and repeatable, and can generate multiple types of three-dimensional pulse information and blood pressure waveform at the simulated radial artery. The platform is simple in structure, low in cost, and produces many types of pulsating flow. It provides an experimental research platform for revealing the relationship between the three-dimensional pulse information of radial artery and the change of pressure inside the vessel, as well as the prediction of blood pressure waveform from the three-dimensional pulse information.
Blood Pressure ; Computer Simulation ; Heart Rate ; Humans ; Radial Artery ; Vital Signs

Life monitoring technology as the basis of health evaluation, in recent years, its related technology research also has new development, in which cardiopulmonary parameters are the core physiological indicators to measure the basic state of vital signs, the analysis of its monitoring technology is particularly important. In this study, the main means of life monitoring are analyzed, and the monitoring technology of cardiopulmonary parameters is the main focus. What is more, the research status and development of contact and non-contact cardiopulmonary monitoring technology at home and abroad were also considered. Lastly, this study will be combined with the radar wave vital signs monitoring technology, which has been achieved good results in the field of cardiopulmonary monitoring, in order to provide a reference for the long-term development of life monitoring field and the technology integration of intelligent pension, intelligent automobile and other related industries.
Algorithms ; Heart Rate ; Monitoring, Physiologic ; Radar ; Respiratory Rate ; Technology ; Vital Signs

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.
Humans ; Intensive Care Units ; Monitoring, Physiologic ; Oxygen Saturation ; Technology ; Vital Signs

PURPOSE: To evaluate superiority of a night float (NF) system in comparison to a traditional night on-call (NO) system for surgical residents at a single institution in terms of efficacy, safety, and satisfaction. METHODS: A NF system was implemented from March to September 2017 and big data analysis from electronic medical records was performed for all patients admitted for surgery or contacted from the emergency room (ER). Parameters including vital signs, mortality, and morbidity rates, as well as promptness of response to ER calls, were compared against a comparable period (March to September 2016) during which a NO system was in effect. A survey was also performed for physicians and nurses who had experienced both systems. RESULTS: A total of 150,000 clinical data were analyzed. Under the NO and NF systems, a total of 3,900 and 3,726 patients were admitted for surgery. Mortality rates were similar but postoperative bleeding was significantly higher in the NO system (0.5% vs. 0.2%, P = 0.031). From the 1,462 and 1,354 patients under the NO and NF systems respectively, that required surgical consultation from the ER, the time to response was significantly shorter in the NF system (54.5 ± 70.7 minutes vs. 66.8 ± 83.8 minutes, P < 0.001). Both physicians (90.4%) and nurses (91.4%) agreed that the NF system was more beneficial. CONCLUSION: This is the first report of a NF system using big data analysis in Korea, and potential benefits of this new system were observed in both ward and ER patient management.
Electronic Health Records ; Emergency Service, Hospital ; Hemorrhage ; Humans ; Internship and Residency ; Korea ; Medical Staff ; Mortality ; Statistics as Topic ; Vital Signs

BACKGROUND: Hydroxyethyl starch (HES), a class of synthetic colloid solutions, has been widely used to treat perioperative hypovolemia. The use of HES, however, is associated with the risk of allergic reactions.CASE: An 83-year-old man was scheduled to undergo an open reduction and internal fixation of a pertrochanteric fracture under spinal anesthesia. He had no history of allergy. Five minutes after HES administration, hypotension, agitation, and skin rash were developed. HES infusion was terminated due to a suspected anaphylactic reaction. The vital signs recovered following administration of phenylephrine, dexamethasone, and hydrocortisone. Serum tryptase and total immunoglobulin E levels were elevated in plasma samples collected following the commencement of the allergic reaction during surgery.CONCLUSIONS: In the present report, the risk of anaphylactic reaction with HES and the laboratory tests needed to support the diagnosis are highlighted.
Aged, 80 and over ; Anaphylaxis ; Anesthesia ; Anesthesia, Spinal ; Colloids ; Dexamethasone ; Diagnosis ; Dihydroergotamine ; Exanthema ; Humans ; Hydrocortisone ; Hypersensitivity ; Hypotension ; Hypovolemia ; Immunoglobulin E ; Immunoglobulins ; Phenylephrine ; Plasma ; Starch ; Tryptases ; Vital Signs

Heart rate variability (HRV) is governed by the autonomic nervous system (ANS) and is routinely used to estimate the state of body and mind. At the same time, recorded HRV features can vary substantially between people. A model for HRV that (1) correctly simulates observed HRV, (2) reliably functions for multiple scenarios, and (3) can be personalised using a manageable set of parameters, would be a significant step forward toward understanding individual responses to external influences, such as physical and physiological stress. Current HRV models attempt to reproduce HRV characteristics by mimicking the statistical properties of measured HRV signals. The model presented here for the simulation of HRV follows a radically different approach, as it is based on an approximation of the physiology behind the triggering of a heart beat and the biophysics mechanisms of how the triggering process—and thereby the HRV—is governed by the ANS. The model takes into account the metabolisation rates of neurotransmitters and the change in membrane potential depending on transmitter and ion concentrations. It produces an HRV time series that not only exhibits the features observed in real data, but also explains a reduction of low frequency band-power for physically or psychologically high intensity scenarios. Furthermore, the proposed model enables the personalisation of input parameters to the physiology of different people, a unique feature not present in existing methods. All these aspects are crucial for the understanding and application of future wearable health.
Autonomic Nervous System ; Biophysics ; Heart Rate ; Heart ; Membrane Potentials ; Neurotransmitter Agents ; Physiology ; Stress, Physiological ; Vital Signs

OBJECTIVE: To test the hypothesis that the quick Sepsis-related Organ Failure Assessment (qSOFA) score, derived from vital signs taken during triage and recommended by current sepsis guidelines for screening patients with infections for organ dysfunction, is not sensitive enough to predict the risk of mortality in emergency department (ED) sepsis patients.METHODS: Patients diagnosed with severe sepsis and septic shock using the old definition between May 2014 and April 2015 were retrospectively reviewed in three urban tertiary hospital EDs. The sensitivities of systemic inflammatory response syndrome (SIRS) criteria, qSOFA, and Sequential Organ Failure Assessment (SOFA) scores ≥2 were compared using McNemar’s test. Diagnostic performances were evaluated using specificity, positive predictive value, and negative predictive value.RESULTS: Among the 928 patients diagnosed with severe sepsis or septic shock using the old definition, 231 (24.9%) died within 28 days. More than half of the sepsis patients (493/928, 53.1%) and more than one-third of the mortality cases (88/231, 38.1%) had a qSOFA score <2. The sensitivity of a qSOFA score ≥2 was 61.9%, which was significantly lower than the sensitivity of SIRS ≥2 (82.7%, P<0.001) and SOFA ≥2 (99.1%, P<0.001). The specificity, positive predictive value, and negative predictive value of a qSOFA score ≥2 for 28-day mortality were 58.1%, 32.9%, and 82.2%, respectively.CONCLUSION: The current clinical criteria of the qSOFA are less sensitive than the SIRS assessment and SOFA to predict 28-day mortality in ED patients with sepsis.
Emergencies ; Emergency Service, Hospital ; Humans ; Mass Screening ; Mortality ; Prognosis ; Retrospective Studies ; Sensitivity and Specificity ; Sepsis ; Shock, Septic ; Systemic Inflammatory Response Syndrome ; Tertiary Care Centers ; Triage ; Vital Signs