scholarly journals Creating 12‐lead electrocardiogram waveforms using a three‐lead bedside monitor to ensure appropriate monitoring

2020 ◽  
Vol 36 (6) ◽  
pp. 1107-1108
Author(s):  
Kihei Yoneyama ◽  
Mayumi Naka ◽  
Tomoo Harada ◽  
Yoshihiro Akashi
Keyword(s):  

2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
S Mittal ◽  
D Brenner ◽  
S Oliveros ◽  
A Bhatt ◽  
M Preminger ◽  
...  

Abstract Background A “pill-in-the-pocket” anticoagulation strategy, guided by ECG data from an implantable loop recorder (ILR), has been advocated as a clinical strategy. However, a fundamental requirement is the ability to reliably obtain daily ECG data from patients. Objective To determine the reliability of daily ECG data transfer from ILRs. Methods We evaluated patients implanted with an ILR in whom we sought to withhold oral anticoagulation (OAC) unless atrial fibrillation (AF) was detected. The ILR transmits data nightly to a bedside monitor. Once received, the data are sent to a central server. Over the course of a month, we tracked for each patient whether ECG data were received by the server. Results The study included 170 AF patients with an ILR where we planned to withhold OAC unless AF was documented. Daily ECG data were automatically transmitted and retrievable in only 36 (21%) patients. Two (1%) pts had not a single day of connectivity, 6 (4%) pts were connected <7 days, and 16 (9%) pts were connected <14 days. Wireless connectivity was lost for >48 hours in 89 (52%) patients (Figure). Most patients experienced multiple reasons for data transmission failure within the month. Conclusions To determine whether an ILR guided OAC strategy is feasible, reliable daily transmission of ECG data is a fundamental prerequisite. Current technology facilitated daily ECG data transfer in only 1/5 of patients. In the remaining, there was either extended loss of connectivity or no connectivity at all. A “pill-in-the-pocket” anticoagulation approach is currently difficult given existing hardware limitations. Funding Acknowledgement Type of funding source: None





2007 ◽  
Vol 18 (3) ◽  
pp. 294-304
Author(s):  
Leslie S. Kern ◽  
Marion E. McRae ◽  
Marjorie Funk

Atrial fibrillation is one of the most common complications after cardiac surgery and is associated with adverse outcomes such as increased mortality, neurological problems, longer hospitalizations, and increased cost of care. Major risk factors for the development of postoperative atrial fibrillation include older age and a history of atrial fibrillation. β-Blockers are the most effective preventive therapy, although sotalol and amiodarone can also be used for prophylaxis. In the postoperative period, the nurse plays an important role in the early detection of atrial fibrillation by the recording of an atrial electrogram, which is easily obtained from the bedside monitor. Because an atrial electrogram records larger atrial activity than ventricular activity, it can be invaluable in establishing the diagnosis of postoperative atrial fibrillation. Once atrial fibrillation begins, treatment can be started with either rhythm conversion or rate-controlling medications.



Stroke ◽  
2020 ◽  
Vol 51 (Suppl_1) ◽  
Author(s):  
Matthew L Flaherty ◽  
Joseph Korfhagen ◽  
George J Shaw ◽  
Opeolu Adeoye ◽  
William Knight

Introduction: Intracerebral hemorrhage (ICH) is a devastating form of stroke. Hemorrhage expansion after ICH occurs in ~40% of patients and leads to worse outcomes. Currently, ICH patients are monitored for hemorrhage expansion by neurologic exam and head CT. CT studies are a source of radiation exposure and can require transporting the patient out of the ICU. There is a clinical need for a non-invasive bedside monitor of ICH. Methods: A radiofrequency based monitor (RFM) was developed as a non-invasive method to monitor ICH at the bedside. The RFM consists of a 9-antenna array mounted around the head, cables, and driving electronics. A 913 MHz signal is transmitted from a given antenna, crosses the brain, and is received by the remaining 8 antennae. A complete measurement consists of one cycle with all antenna serving as the transmitting antenna. As the signal traverses the brain, it is partially scattered and absorbed by the ICH, thus changing the signal at the receiving antennae. The altered signal can be compared to signals at earlier times to detect changes induced by ICH expansion. Based upon pre-clinical work it was hypothesized that ICH expansion of ≥3 ml would be detected by the RFM. The RFM device was approved for human study under an IDE from the FDA. The device was tested on 10 ICH subjects admitted within 24 hours of stroke onset. All subjects received a baseline head CT and a repeat head CT at 12 (+/- 6) hours. ICH volumes were determined by a blinded neuroradiologist. Subjects were scanned with the device every 10 minutes. Results: Data from one subject was lost due to user error. Among the remaining nine, two experienced hemorrhage expansion of ≥ 3ml (3 and 8.2 ml respectively). The RFM readings were 100% concordant with CT scans in identifying presence and absence of hemorrhage expansion. The figure shows monitor readings from a subject with expansion. Conclusion: The RFM may be useful in detection of real-time hemorrhage expansion in ICH patients. A pivotal clinical study is planned.



Author(s):  
V. Peter Nagraj ◽  
Douglas E. Lake ◽  
Louise Kuhn ◽  
J. Randall Moorman ◽  
Karen D. Fairchild

Objective Apnea is common among infants in the neonatal intensive care unit (NICU). Our group previously developed an automated algorithm to quantitate central apneas with associated bradycardia and desaturation (ABDs). Sex differences in lung disease are well described in preterm infants, but the influence of sex on apnea has not been established. Study Design This study includes infants < 34 weeks' gestation admitted to the University of Virginia NICU from 2009 to 2014 with at least 1 day of bedside monitor data available when not on mechanical ventilation. Waveform and vital sign data were analyzed using a validated algorithm to detect ABD events of low variance in chest impedance signal lasting at least 10 seconds with associated drop in heart rate to < 100 beats/minute and drop in oxygen saturation to < 80%. Male and female infants were compared for prevalence of at least one ABD event during the NICU stay, treatment with caffeine, occurrence of ABDs at each week of postmenstrual age, and number of events per day. Results Of 926 infants studied (median gestational age 30 weeks, 53% male), median days of data analyzed were 19 and 22 for males and females, respectively. There was no sex difference in prevalence of at least one ABD event during the NICU stay (males 62%, females 64%, p = 0.47) or in the percentage of infants treated with caffeine (males 64%, females 67%, p = 0.40). Cumulative prevalence of ABDs from postmenstrual ages 24 to 36 weeks was comparable between sexes. Males had 18% more ABDs per day of data, but this difference was not statistically significant (p = 0.16). Conclusion In this large cohort of infants < 34 weeks' gestation, we did not detect a sex difference in prevalence of central ABD events. There was a nonsignificant trend toward a greater number of ABDs per day in male infants. Key Points



The Lancet ◽  
1967 ◽  
Vol 290 (7522) ◽  
pp. 922-924 ◽  
Author(s):  
B.W. Watson ◽  
A.P. Morrison ◽  
W.R. Cattell ◽  
J.C. Mackenzie
Keyword(s):  


1990 ◽  
Vol 36 (8) ◽  
pp. 1585-1593 ◽  
Author(s):  
J H Siegel

Abstract Medical diagnosis and therapeutic monitoring for critical illness require adaptation of laboratory analyses to the bedside. These are greatly helped by the modification of physiological and biochemical data-acquisition techniques to increase the number and accuracy of noninvasive variables that can be obtained from the patient. This paper addresses the choice of noninvasive measurements and is largely directed at the assessment of oxygen debt as a measure of the severity of ischemic and septic metabolic processes. Especially considered are those noninvasive measures of cardiorespiratory adequacy, key variables that need to be considered together with the metabolic function to adequately reflect the patient's state of accommodation to critical illness or injury. I describe a noninvasive sensor system linked to a computer work-station that functions in a pattern recognition mode to permit classification of patients as to the type and severity of their physiological adaptation. This system can serve as a sophisticated bedside monitor of the severity of the patient's condition, as a guide to therapy.



2018 ◽  
Vol 36 (5) ◽  
pp. 777-779
Author(s):  
James A. Chenoweth ◽  
Aaron M. Hougham ◽  
Daniel K. Colby ◽  
Jonathan B. Ford ◽  
Jordan Sandhu ◽  
...  


2019 ◽  
Vol 11 (4) ◽  
Author(s):  
Bambang Guruh Irianto ◽  
Agus Susilo Wibowo ◽  
Dwi Herry Andayani

A Bedside monitor is the equipment used to monitor patient condition through some parameters that need sustainable monitoring so that the patient condition is always monitored. This research is monitored by 5 parameters namely heart signal, heart rate, temperature, respiration and SPO2. This research applies quasi experimental design. The free variable is an ECG phantom or human, and the dependent variable is a bedside monitor. The research instruments are a calibration equipment of ECG signal, temperature, and respiration. The result of the heart signal lead 2 is not different from the standard and the result of the heart rate lead has uncertainty (probability) 0 for Lead 2; which is still under the tolerance number (0.5). The results of the temperature measurement of 5 samples with 5 measurements show that there are 3 samples which have standard deviation and 0 (zero) uncertainty, whereas 2 samples have 0.76 (higher than 0.5) uncertainty. This condition is influenced by the patient movements, so the sensor attached on the patient-body does not fit with the standard installation. The respiration measurement results have an accuracy of 98%, while the SPO2 results have a standard deviation and uncertainty below 5% after being compared with the standard calculations. Here are the details: standard deviation 0.894427; 0.547723; 0.44; Probability 0.4; 0.244949; 0.2 and 0.2. Overall, it can be concluded that The Design of  Bedside Monitor Based on Microcontroller is feasible and the measurement result of heart signal Lead 2, heart rate, temperature, respiration, SPO2 can be presented on a PC.



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