scholarly journals Vital Signs Prediction for COVID-19 Patients in ICU

Sensors ◽  
2021 ◽  
Vol 21 (23) ◽  
pp. 8131
Author(s):  
Ahmed Youssef Ali Amer ◽  
Femke Wouters ◽  
Julie Vranken ◽  
Pauline Dreesen ◽  
Dianne de Korte-de Boer ◽  
...  
Keyword(s):  
Heart Rate ◽  
Oxygen Saturation ◽  
Predictive Model ◽  
Respiration Rate ◽  
Predictive Models ◽  
Vital Sign ◽  
Vital Signs ◽  
Prediction Performance ◽  
Percentage Error ◽  
Icu Patients

This study introduces machine learning predictive models to predict the future values of the monitored vital signs of COVID-19 ICU patients. The main vital sign predictors include heart rate, respiration rate, and oxygen saturation. We investigated the performances of the developed predictive models by considering different approaches. The first predictive model was developed by considering the following vital signs: heart rate, blood pressure (systolic, diastolic and mean arterial, pulse pressure), respiration rate, and oxygen saturation. Similar to the first approach, the second model was developed using the same vital signs, but it was trained and tested based on a leave-one-subject-out approach. The third predictive model was developed by considering three vital signs: heart rate (HR), respiration rate (RR), and oxygen saturation (SpO2). The fourth model was a leave-one-subject-out model for the three vital signs. Finally, the fifth predictive model was developed based on the same three vital signs, but with a five-minute observation rate, in contrast with the aforementioned four models, where the observation rate was hourly to bi-hourly. For the five models, the predicted measurements were those of the three upcoming observations (on average, three hours ahead). Based on the obtained results, we observed that by limiting the number of vital sign predictors (i.e., three vital signs), the prediction performance was still acceptable, with the average mean absolute percentage error (MAPE) being 12%,5%, and 21.4% for heart rate, oxygen saturation, and respiration rate, respectively. Moreover, increasing the observation rate could enhance the prediction performance to be, on average, 8%,4.8%, and 17.8% for heart rate, oxygen saturation, and respiration rate, respectively. It is envisioned that such models could be integrated with monitoring systems that could, using a limited number of vital signs, predict the health conditions of COVID-19 ICU patients in real-time.

scholarly journals Contactless Vital Signs Measurement System Using RGB-Thermal Image Sensors and Its Clinical Screening Test on Patients with Seasonal Influenza

Sensors ◽  
2020 ◽  
Vol 20 (8) ◽  
pp. 2171 ◽  
Author(s):  
Toshiaki Negishi ◽  
Shigeto Abe ◽  
Takemi Matsui ◽  
He Liu ◽  
Masaki Kurosawa ◽  
...  
Keyword(s):  
Heart Rate ◽  
Body Temperature ◽  
Respiration Rate ◽  
Vital Sign ◽  
Seasonal Influenza ◽  
Estimation Method ◽  
Vital Signs ◽  
Thermal Image ◽  
Image Sensors ◽  
Music Algorithm

Background: In the last two decades, infrared thermography (IRT) has been applied in quarantine stations for the screening of patients with suspected infectious disease. However, the fever-based screening procedure employing IRT suffers from low sensitivity, because monitoring body temperature alone is insufficient for detecting infected patients. To overcome the drawbacks of fever-based screening, this study aims to develop and evaluate a multiple vital sign (i.e., body temperature, heart rate and respiration rate) measurement system using RGB-thermal image sensors. Methods: The RGB camera measures blood volume pulse (BVP) through variations in the light absorption from human facial areas. IRT is used to estimate the respiration rate by measuring the change in temperature near the nostrils or mouth accompanying respiration. To enable a stable and reliable system, the following image and signal processing methods were proposed and implemented: (1) an RGB-thermal image fusion approach to achieve highly reliable facial region-of-interest tracking, (2) a heart rate estimation method including a tapered window for reducing noise caused by the face tracker, reconstruction of a BVP signal with three RGB channels to optimize a linear function, thereby improving the signal-to-noise ratio and multiple signal classification (MUSIC) algorithm for estimating the pseudo-spectrum from limited time-domain BVP signals within 15 s and (3) a respiration rate estimation method implementing nasal or oral breathing signal selection based on signal quality index for stable measurement and MUSIC algorithm for rapid measurement. We tested the system on 22 healthy subjects and 28 patients with seasonal influenza, using the support vector machine (SVM) classification method. Results: The body temperature, heart rate and respiration rate measured in a non-contact manner were highly similarity to those measured via contact-type reference devices (i.e., thermometer, ECG and respiration belt), with Pearson correlation coefficients of 0.71, 0.87 and 0.87, respectively. Moreover, the optimized SVM model with three vital signs yielded sensitivity and specificity values of 85.7% and 90.1%, respectively. Conclusion: For contactless vital sign measurement, the system achieved a performance similar to that of the reference devices. The multiple vital sign-based screening achieved higher sensitivity than fever-based screening. Thus, this system represents a promising alternative for further quarantine procedures to prevent the spread of infectious diseases.

scholarly journals A Comparison of Reflective Photoplethysmography for Detection of Heart Rate, Blood Oxygen Saturation, and Respiration Rate at Various Anatomical Locations

Sensors ◽  
2019 ◽  
Vol 19 (8) ◽  
pp. 1874 ◽  
Author(s):  
Sally K. Longmore ◽  
Gough Y. Lui ◽  
Ganesh Naik ◽  
Paul P. Breen ◽  
Bin Jalaludin ◽  
...  
Keyword(s):  
Heart Rate ◽  
Oxygen Saturation ◽  
Respiration Rate ◽  
Vital Signs ◽  
Ground Truth ◽  
Human Anatomy ◽  
Anatomical Location ◽  
Blood Oxygen ◽  
Blood Oxygen Saturation ◽  
Multiple Sensors

Monitoring of vital signs is critical for patient triage and management. Principal assessments of patient conditions include respiratory rate heart/pulse rate and blood oxygen saturation. However, these assessments are usually carried out with multiple sensors placed in different body locations. The aim of this paper is to identify a single location on the human anatomy whereby a single 1 cm × 1 cm non-invasive sensor could simultaneously measure heart rate (HR), blood oxygen saturation (SpO2), and respiration rate (RR), at rest and while walking. To evaluate the best anatomical location, we analytically compared eight anatomical locations for photoplethysmography (PPG) sensors simultaneously acquired by a single microprocessor at rest and while walking, with a comparison to a commercial pulse oximeter and respiration rate ground truth. Our results show that the forehead produced the most accurate results for HR and SpO2 both at rest and walking, however, it had poor RR results. The finger recorded similar results for HR and SpO2, however, it had more accurate RR results. Overall, we found the finger to be the best location for measurement of all three parameters at rest; however, no site was identified as capable of measuring all parameters while walking.

scholarly journals 2319. Clinical Predictors of Influenza and Hospitalization of Children with Influenza in an Emergent Care Setting

2019 ◽  
Vol 6 (Supplement_2) ◽  
pp. S795-S796
Author(s):  
Suchitra Rao ◽  
Molly Lamb ◽  
Angela Moss ◽  
Emad Yanni ◽  
Rafik Bekkat-Berkani ◽  
...  
Keyword(s):  
Heart Rate ◽  
Oxygen Saturation ◽  
Respiratory Rate ◽  
Vital Sign ◽  
Influenza Infection ◽  
Vital Signs ◽  
Urgent Care ◽  
Peak Heart Rate ◽  
Initial Oxygen ◽  
Z Scores

Abstract Background Objective measures utilizing early vital sign data show promise in predicting more severe outcomes among adults with influenza, but data are sparse in children. The objectives of this study were to determine the value of vital signs in predicting influenza infection or hospitalization due to influenza infection among children evaluated in an emergency department (ED) or urgent care (UC) setting in Colorado. Methods We evaluated vital signs obtained from a prospective cohort study of children aged 6 months to 8 years of age with influenza like illness evaluated at an ED/UC site in Aurora, CO from 2016–2018, and who underwent influenza testing by PCR. We collected the first set of vital signs, peak heart rate and temperature, and converted heart rate (HR) and respiratory rate (RR) to z-scores by age. HR z scores were further adjusted for temperature. Bivariable analyses for each vital sign as a predictor of influenza-related hospitalization and influenza infection as main outcomes were conducted. Predictors with P < 0.2 were entered into a multivariable logistic regression model to determine odds ratios (OR) and 95% CI; model performance was assessed using the Brier score and discriminative ability with the C statistic. Results Among 1478 children, 411 were positive for influenza, of which 28 were hospitalized. In multivariable analyses, among children with influenza infection, lower initial oxygen saturation (OR 0.87, 95% CI 0.78–0.98, P = 0.026) and higher adjusted respiratory rate (OR 2.09, 95% CI 1.21–3.61, P = 0.0085) were significant predictors of hospitalization (Figure 1). Among children with ILI, higher peak temperature (OR 1.46, 95% CI 1.30–1.63, P < 0.0001), lower adjusted peak heart rate (OR 0.79, 95% CI 0.69–0.90, P = 0.0005), higher initial oxygen saturation (OR 1.07, 95% CI 1.03–1.12 P = 0.002) and lower adjusted respiratory rate (OR 0.74, 95% CI 0.64–0.87, P = 0.0002) were significant predictors for having PCR-confirmed influenza. However, this model had poor calibration and discriminatory ability. Conclusion Higher respiratory rate adjusted for age and lower initial oxygen saturation were significant predictors of hospitalization among young children with PCR-confirmed influenza, but were not reliable discriminators of having influenza infection. Disclosures All authors: No reported disclosures.

IoT Based Pulse Oximeter

2021 ◽  
Vol 9 (8) ◽  
pp. 2946-2951
Author(s):  
G Sidhartha
Keyword(s):  
Heart Rate ◽  
Signal Processing ◽  
Oxygen Saturation ◽  
Data Transmission ◽  
Pulse Oximeter ◽  
Mobile Application ◽  
Preventive Measures ◽  
Vital Signs ◽  
Home Treatment ◽  
Portable Devices

Abstract: In recent times, we have realized the importance of vital signs such as Oxygen saturation and heart rate i.e beats per minute (BPM) due to the covid-19 situation worldwide. SpO2 and BPM are being used as preliminary indicators for testing a person’s health, the drop in the oxygen saturation is perceived as one of the symptoms of a person suffering from coronavirus. Oximeters are portable devices that are used to measure the SpO2 and BPM of a person. Timely measurements of oxygen saturation can aid in taking preventive measures. This paper discusses the construction and development of an IoT-based pulse oximeter that is capable of transmitting the reading obtained to any remote location wirelessly. The proposed system uses Arduino as the microcontroller which is used for signal processing and Esp-01 as the Wifi platform to enable remote data transmission. The data is communicated remotely through Blynk mobile application. This project is aimed at reducing the manual effort undergone in regularly updating the oxygen saturation to the doctor, in the case of a person undergoing home treatment. Though an oximeter is not a screening te st, it is a primary indicator of a person’s health. Keywords: Heart rate, SpO2, IoT, Arduino, BLYNK server, Red, IR.

scholarly journals Accuracy of real-time delivery room resuscitation documentation

2018 ◽  
Vol 105 (2) ◽  
pp. 222-224 ◽  
Author(s):  
Claire E Fishman ◽  
Danielle D Weinberg ◽  
Ashley Murray ◽  
Elizabeth E Foglia
Keyword(s):  
Heart Rate ◽  
Oxygen Saturation ◽  
Real Time ◽  
Vital Sign ◽  
Gold Standard ◽  
Neonatal Intensive Care ◽  
Video Recording ◽  
Neonatal Resuscitation ◽  
Delivery Room ◽  
Level 3

ObjectiveTo assess the accuracy of real-time delivery room resuscitation documentation.DesignRetrospective observational study.SettingLevel 3 academic neonatal intensive care unit.ParticipantsFifty infants with video recording of neonatal resuscitation.Main outcome measuresVital sign assessments and interventions performed during resuscitation. The accuracy of written documentation was compared with video gold standard.ResultsTiming of initial heart rate assessment agreed with video in 44/50 (88%) records; the documented heart rate was correct in 34/44 (77%) of these. Heart rate and oxygen saturation were documented at 5 min of life in 90% of resuscitations. Of these, 100% of heart rate and 93% of oxygen saturation values were correctly recorded. Written records accurately reflected the mode(s) of respiratory support for 89%–100%, procedures for 91%–100% and medications for 100% of events.ConclusionReal-time documentation correctly reflects interventions performed during delivery room resuscitation but is less accurate for early vital sign assessments.

Longitudinal Analysis of Continuous Pulse Oximetry as Prognostic Factor in Neonatal Respiratory Distress

2020 ◽  
Author(s):  
Gonzalo Solís-García ◽  
Elena Maderuelo-Rodríguez ◽  
Teresa Perez-Pérez ◽  
Laura Torres-Soblechero ◽  
Ana Gutiérrez-Vélez ◽  
...  
Keyword(s):  
Heart Rate ◽  
Intensive Care ◽  
Respiratory Distress ◽  
Oxygen Saturation ◽  
Continuous Monitoring ◽  
Vital Signs ◽  
Epidemiological Data ◽  
Monitoring Data ◽  
Joint Models ◽  
Neonatal Icu

Objective Analysis of longitudinal data can provide neonatologists with tools that can help predict clinical deterioration and improve outcomes. The aim of this study is to analyze continuous monitoring data in newborns, using vital signs to develop predictive models for intensive care admission and time to discharge. Study Design We conducted a retrospective cohort study, including term and preterm newborns with respiratory distress patients admitted to the neonatal ward. Clinical and epidemiological data, as well as mean heart rate and saturation, at every minute for the first 12 hours of admission were collected. Multivariate mixed, survival and joint models were developed. Results A total of 56,377 heart rate and 56,412 oxygen saturation data were analyzed from 80 admitted patients. Of them, 73 were discharged home and 7 required transfer to the intensive care unit (ICU). Longitudinal evolution of heart rate (p < 0.01) and oxygen saturation (p = 0.01) were associated with time to discharge, as well as birth weight (p < 0.01) and type of delivery (p < 0.01). Longitudinal heart rate evolution (p < 0.01) and fraction of inspired oxygen at admission at the ward (p < 0.01) predicted neonatal ICU (NICU) admission. Conclusion Longitudinal evolution of heart rate can help predict time to transfer to intensive care, and both heart rate and oxygen saturation can help predict time to discharge. Analysis of continuous monitoring data in patients admitted to neonatal wards provides useful tools to stratify risks and helps in taking medical decisions. Key Points

scholarly journals Design and Improving Vital Sign with Parameter Body Temperature (axilla) and Oxymetry for Patient Monitoring

2020 ◽  
Vol 2 (2) ◽  
pp. 58-64
Author(s):  
Mohamad Adam Firdaus ◽  
Andjar Pudji ◽  
Muhammad Ridha Mak'ruf
Keyword(s):  
Body Temperature ◽  
Oxygen Saturation ◽  
Vital Sign ◽  
Medical Service ◽  
Vital Signs ◽  
Measuring Instruments ◽  
Dressing Tool ◽  
Number Of Patients ◽  
Quality Of Patient Care

In most hospitals, nurses routinely calculate and document primary vital signs for all patients 2-3 times per day to get information on the patient's condition. Vital Sign Monitor is made for medical devices that can diagnose patients who need intensive care to determine patient needs. Some parameters used in patient renewal: Oxygen saturation (SPO2), and body temperature. This makes additional tasks very important to be evaluated for medical staff and equipment manufacturers. This evaluation is needed to get the real condition of the patient. With the large number of patients who need evaluation, it is not possible to see the condition of some medical workers who work. This medical service is expected to reduce the workload of nurses with doctors and improve the quality of patient care. The large demand for these devices, mostly in hospital intensive rooms, is the basis for researching the output of data from multiple vital sensor monitor monitors to obtain accurate and precise outputs. The output of the two sensors is processed by Arduino Mega2560 and requested on a 5 inch TFT LCD in the form of body temperature and oxygen saturation. Comparison of module results with standard measuring instruments calibrated to reference this module is used for accurate and precise results. According to the assessment and reversing tool data with the dressing tool, the highest error value is 1%. With a maximum permitted permission of 5%.

scholarly journals Reliability of heart rate and respiration rate measurements with a wireless accelerometer in postbariatric recovery

PLoS ONE ◽  
2021 ◽  
Vol 16 (4) ◽  
pp. e0247903
Author(s):  
Fleur Jacobs ◽  
Jai Scheerhoorn ◽  
Eveline Mestrom ◽  
Jonna van der Stam ◽  
R. Arthur Bouwman ◽  
...  
Keyword(s):  
Heart Rate ◽  
Respiration Rate ◽  
Gold Standard ◽  
Continuous Monitoring ◽  
Wearable Sensors ◽  
Vital Signs ◽  
Patient Monitor ◽  
Standard Patient ◽  
Bariatric Patients ◽  
Vital Parameters

Recognition of early signs of deterioration in postoperative course could be improved by continuous monitoring of vital parameters. Wearable sensors could enable this by wireless transmission of vital signs. A novel accelerometer-based device, called Healthdot, has been designed to be worn on the skin to measure the two key vital parameters respiration rate (RespR) and heart rate (HeartR). The goal of this study is to assess the reliability of heart rate and respiration rate measured by the Healthdot in comparison to the gold standard, the bedside patient monitor, during the postoperative period in bariatric patients. Data were collected in a consecutive group of 30 patients who agreed to wear the device after their primary bariatric procedure. Directly after surgery, a Healthdot was attached on the patients’ left lower rib. Vital signs measured by the accelerometer based Healthdot were compared to vital signs collected with the gold standard patient monitor for the period that the patient stayed at the post-anesthesia care unit. Over all patients, a total of 22 hours of vital signs obtained by the Healthdot were recorded simultaneously with the bedside patient monitor data. 87.5% of the data met the pre-defined bias of 5 beats per minute for HeartR and 92.3% of the data met the pre-defined bias of 5 respirations per minute for RespR. The Healthdot can be used to accurately derive heart rate and respiration rate in postbariatric patients. Wireless continuous monitoring of key vital signs has the potential to contribute to earlier recognition of complications in postoperative patients. Future studies should focus on the ability to detect patient deterioration in low-care environments and at home after discharge from the hospital.

scholarly journals A preliminary assessment of vital-signs-integrated patient-assisted intravenous opioid analgesia (VPIA) for postsurgical pain

2020 ◽  
Author(s):  
Ban Leong SNG ◽  
Daryl Jian'an Tan ◽  
Chin Wen TAN ◽  
Nian-Lin Reena HAN ◽  
Rehena SULTANA ◽  
...  
Keyword(s):  
Patient Satisfaction ◽  
Pain Relief ◽  
Oxygen Saturation ◽  
Vital Sign ◽  
Infusion Pump ◽  
Vital Signs ◽  
Oxygen Desaturation ◽  
Opioid Analgesia ◽  
Median Percentage ◽  
Vital Signs Monitoring

Abstract Background: We developed a Vital-signs-integrated Patient-assisted Intravenous opioid Analgesia (VPIA) analgesic infusion pump, a closed-loop vital signs monitoring and drug delivery system which embodied in a novel algorithm that took into account patients’ vital signs (oxygen saturation, heart rate). The system aimed to allow responsive titration of personalized pain relief to optimize pain relief and reduce the risk of respiratory depression. Moreover, the system would be important to enable continuous monitoring of patients during delivery of opioid analgesia.Methods: Nineteen patients who underwent elective gynecological surgery with postoperative patient controlled analgesia (PCA) with morphine were recruited. The subjects were followed up from their admission to the recovery room/ ward for at least 24 hours until assessment of patient satisfaction on the VPIA analgesic infusion pump.Results: The primary outcome measure of incidence of oxygen desaturation showed all patients had at least one episode of oxygen desaturation (<95%) during the study period. Only 6 (31.6%) patients had oxygen desaturation that persisted for more than 5 minutes. The median percentage time spent during treatment that oxygen saturation fell below 95% was 1.9%. Fourteen (73.7%) out of 19 patients encountered safety pause, due to transient oxygen desaturation or bradycardia. The patients’ median [IQR] pain scores at rest and at movement after post-op 24 hours were 0.0 [2.0] and 3.0 [2.0], respectively. The average morphine consumption in the first 24 hours was 12.5 ± 7.1mg. All patients were satisfied with their experience with the VPIA analgesic infusion pump. Conclusions: The use of VPIA analgesic infusion pump, when integrated with continuous vital sign monitor and variable lockout algorithm, was able to provide pain relief with good patient satisfaction.Keywords: infusion pump, postoperative pain, vital sign monitoring, oxygen desaturation.Trial registration: This study was registered on clinicaltrials.gov registry (NCT02804022) on 28 Feb 2016.

scholarly journals Just the Facts: Diagnosis and management of small bowel obstruction

CJEM ◽  
2020 ◽  
Vol 22 (5) ◽  
pp. 648-651
Author(s):  
Brit Long ◽  
Elisha Targonsky ◽  
Alex Koyfman
Keyword(s):  
Blood Pressure ◽  
Heart Rate ◽  
Abdominal Pain ◽  
Small Bowel ◽  
Oxygen Saturation ◽  
Respiratory Rate ◽  
Small Bowel Obstruction ◽  
Vital Signs ◽  
Oral Temperature ◽  
Include Blood Pressure

A 63-year-old female patient presents with abdominal pain, vomiting, and abdominal distention. She has previously had a cholecystectomy and hysterectomy. She has had no prior similar episodes, and denies fever, hematemesis, or diarrhea. She takes no medications. Vital signs include blood pressure 123/61 mm Hg, heart rate 97, oral temperature 37.2°C, respiratory rate 18, oxygen saturation 97% on room air. Her abdomen is diffusely tender and distended.

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