Traditional Chinese Medicine Syndrome Differentiation of Delta and Omicron Variants of SARS-CoV-2 Carriers in Changsha,Hunan.

Objective: To summarize and compare the main traditional Chinese medicineTCMsyndromes of Delta and Omicron variants of severe acute respiratory syndrome coronavirus 2SARS-CoV-2 carriers to provide references for the syndrome evolution and syndrome differentiation of SARS-CoV-2 infection. Method(s):The TCM medical records of imported and local cases of infection with Delta and Omicron variants of SARS-CoV-2 in Changsha since September 23,2021 to March 27,2022 were collected,including 18 Delta variant cases and 36 Omicron variant cases. Their TCM diagnosis information and TCM pathogenesis were analyzed and compared. Result(s): The common manifestations in Delta variant cases were cough,fever,chest distress/shortness of breath,sore muscles,nausea,dry mouth,dry or sore throat,thick and greasy tongue coating,and rapid and slippery pulse. The predominant pathogenesis was dampness-heat in the upper-energizer and heat stagnation in the lesser Yang combined with dampness. The occurrence of chest distress/shortness of breath,greasy tongue coating,slippery pulse,and the proportion of dampness-heat in the upper-energizer syndrome were higher in Delta variant cases than in Omicron variant cases P<0.05. The common manifestations in Omicron variant cases were itchy and sore throat,nasal congestion,running nose,fever,mild aversion to cold,dry mouth,dizziness,slightly reddish tongue with thin white coating,and rapid or wiry pulse. The predominant pathogenesis was wind-dryness invading defensive exterior,and heat stagnation in the lesser Yang. The occurrence of white-coated tongue and the proportion of wind-dryness invading defensive exterior syndrome were higher in Omicron variant cases than in Delta variant casesP<0.05. Conclusion(s): There are certain differences in TCM syndromes and the corresponding pathogenesis between Delta variant and Omicron variant cases in Changsha,Hunan. The Delta variant of SARS-COV-2 tends to induce dampness-heat syndrome, whereas Omicron variant infection tends to elicit wind-dampness syndrome,which is expected to provide a reference for the pathogenesis evolution of SARS-COV-2 infection.Copyright © 2022, China Academy of Chinese Medical Sciences Institute of Chinese Materia Medica. All rights reserved.

One-minute-sit-to-stand-test elicits less desaturation than 6MWT in advanced respiratory disease

Introduction: During the COVID-19 pandemic pulmonary rehabilitation moved to a telehealth platform and the 1-min sit-to-stand test (1minSTS) was often used instead of the 6-min walk test (6MWT) to evaluate functional exercise capacity. We sought to determine;(i) the extent to which the six-minute walk distance (6MWD) could be estimated from the number of repetitions achieved during the 1minSTS and, (ii) agreement in cardiorespiratory responses elicited collected during the tests. Method(s): Data were extracted from medical records on all people who attended the advanced lung disease service at Fiona Stanley Hospital between September 2021 and January 2022. Pulse rate and oxygen saturation (SpO 2) were measured continuously during both tests using a pulse oximeter. Symptoms were quantified using the Borg scale (0 to 10). Result(s): Data were available on 80 participants (43 males;age 64 +/- 10 years;FEV 1 1.65 +/- 0.77 L). Compared with the 6MWT, the 1minSTS resulted in a higher nadir (mean difference [MD] 4%, 95% CI 3 to 5), higher peak pulse rate (MD 8 bpm, 95% CI 5 to 11), similar intensity of dyspnoea (MD -0.3, 95% CI -0.6 to 0.1) and greater leg fatigue (MD 1.1, 95% CI 0.6 to 1.6). Of those who demonstrated severe desaturation (SpO 2 nadir <85%) on the 6MWT (n = 18), 5 and 10 were classified as moderate (SpO 2 nadir 85% to 89%) or mild desaturators (SpO 2 nadir >= 90%), respectively on the 1minSTS. The equation that represented the relationship between 6MWD and 1minSTS was: 6MWD (m) = 247 + (7 x number of transitions achieved during the 1minSTS;r 2 = 0.44). Conclusion(s): The 6MWT elicited greater desaturation, a lower peak pulse rate and greater leg fatigue than the 1minSTS. A smaller proportion of people will be classified as 'severe desaturators' using the 1minSTS test. The capacity to estimate the 6MWD using results of the 1minSTS is limited.

Research article An interprofessional collaborative approach to alleviate workplace stress among medical college faculty during COVID pandemic

Introduction and Aim: Job and stress are not mutually exclusive;in fact, stress is inherent to job. In the present era of COVID pandemic, working as health care providers may entail highest levels of stress leading to burnout. Thus, affecting work efficiency of faculty, in turn reflecting on students' performance and health care services to patients. However, de-stressors like yoga and art-based interventions are scarce and not well documented to date. Hence, the present study was undertaken to determine the efficacy of stress alleviating yoga and creative art therapy through interprofessional collaborative approach. Method(s): Sixty medical faculty of either gender aging 30-60 years, were randomly divided into two equal groups-control and intervention group. The intervention group underwent yoga and creative art therapy for 10 days duration each. International stress management association (ISMA) stress questionnaire and Kessler's psychological distress (K-10) scale were administered before and post-intervention, to compare the stress levels. Blood pressure (BP), pulse rate, body mass index (BMI) and waist hip ratio (WHR) were also measured. Comparative analysis of pre-post test scores was done using Student's paired 't' test. Result(s): According to ISMA and K-10 scores, the intervention group showed statistically significant (p <= 0.05) decrease in stress levels among faculty. However, BP, BMI and WHR didn't show any significant change after the intervention. Conclusion(s): Yoga and art therapy were proved to be beneficial in reducing the stress levels among faculty significantly. Comparative analysis also showed significant reduction irrespective of their gender and specialty.Copyright © 2023, Indian Association of Biomedical Scientists. All rights reserved.

Detecting deception using machine learning with facial expressions and pulse rate.

Given the ongoing COVID-19 pandemic, remote interviews have become an increasingly popular approach in many fields. For example, a survey by the HR Research Institute (PCR Institute in Survey on hiring activities for graduates of 2021 and 2022. https://www.hrpro.co.jp/research_detail.php?r_no=273. Accessed 03 Oct 2021) shows that more than 80% of job interviews are conducted remotely, particularly in large companies. However, for some reason, an interviewee might attempt to deceive an interviewer or feel difficult to tell the truth. Although the ability of interviewers to detect deception among interviewees is significant for their company or organization, it still strongly depends on their individual experience and cannot be automated. To address this issue, in this study, we propose a machine learning approach to aid in detecting whether a person is attempting to deceive the interlocutor by associating the features of their facial expressions with those of their pulse rate. We also constructed a more realistic dataset for the task of deception detection by asking subjects not to respond artificially, but rather to improvise natural responses using a web camera and wearable device (smartwatch). The results of an experimental evaluation of the proposed approach with 10-fold cross-validation using random forests classifier show that the accuracy and the F1 value were in the range between 0.75 and 0.8 for each subject, and the highest values were 0.87 and 0.88, respectively. Through the analysis of the importance of the features the trained models, we revealed the crucial features of each subject during deception, which differed among the subjects.

PACMAN: A Framework for Pulse Oximeter Digit Detection and Reading in A Low-Resource Setting

In light of the COVID-19 pandemic, patients were required to manually input their daily oxygen saturation (SpO2) and pulse rate (PR) values into a health monitoring system—unfortunately, such a process trend to be an error in typing. Several studies attempted to detect the physiological value from the captured image using optical character recognition (OCR). However, the technology has limited availability with high cost. Thus, this study aimed to propose a novel framework called PACMAN (Pandemic Accelerated Human-Machine Collaboration) with a low-resource deep learning-based computer vision. We compared state-of-the-art object detection algorithms (scaled YOLOv4, YOLOv5, and YOLOR), including the commercial OCR tools for digit recognition on the captured images from the pulse oximeter display. All images were derived from crowdsourced data collection with varying quality and alignment. YOLOv5 was the best-performing model against the given model comparison across all datasets, notably the correctly orientated image dataset. We further improved the model performance with the digits auto-orientation algorithm and applied a clustering algorithm to extract SpO2 and PR values. The accuracy performance of YOLOv5 with the implementations was approximately 81.0-89.5%, which was enhanced compared to without any additional implementation. Accordingly, this study highlighted the completion of the PACMAN framework to detect and read digits in real-world datasets. The proposed framework has been currently integrated into the patient monitoring system utilized by hospitals nationwide. IEEE

Workout Detection by Wearable Device Data Using Machine Learning

There are many reports that workouts relieve daily stress and are effective in improving mental and physical health. In recent years, there has been a demand for quick and easy methods to analyze and evaluate living organisms using biological information measured from wearable sensors. In this study, we attempted workout detection for one healthy female (40 years old) based on multiple types of biological information, such as the number of steps taken, activity level, and pulse, obtained from a wristband-type wearable sensor using machine learning. Data were recorded intermittently for approximately 64 days and 57 workouts were recorded. Workouts adopted for exercise were yoga and the workout duration was 1 h. We extracted 3416 min of biometric information for each of three categories: workout, awake activities (activities other than workouts), and sleep. Classification was performed using random forest (RF), SVM, and KNN. The detection accuracy of RF and SVM was high, and the recall, precision, and F-score values when using RF were 0.962, 0.963, and 0.963, respectively. The values for SVM were 0.961, 0.962, and 0.962, respectively. In addition, as a result of calculating the importance of the feature values used for detection, sleep state (39.8%), skin temperature (33.3%), and pulse rate (13.2%) accounted for approximately 86.3% of the total. By applying RF or SVM to the biological information obtained from the wearable wristband sensor, workouts could be detected every minute with high accuracy.

Coviguard - Intelligent shirt using Arduino for protection against covid

In the current pandemic situation, we need to follow certain precautionary measures to safeguard us from the deadly virus. We have been able to contain the virus to a certain extent through social distancing, by sanitizing ourselves and sterilizing the daily-use items. Monitoring the vitals like body temperature, oxygen saturation, and pulse rate has proven to be effective in diagnosing the fatal disease. In this proposed method, we have come up with a solution to help the user to keep a check on the important parameters mentioned above by incorporating various sensors like MLX90614 non-contact infrared temperature sensor, SpO2 sensor, pulse rate sensor, and ultrasonic sensor in a shirt- CoviGuard. The vitals are displayed on an IOT application called ThingSpeak. A buzzer is used to indicate if the user doesn't maintain the specified distance of 0.5 meters. © 2023 IEEE.

Evaluation of D-dimer and fibrinogen levels in COVID-19 patients D-dimer and fibrinogen levels in COVID-19 patients

Aim: The aim of this study is to determine D-dimer and fibrinogen levels in COVID-19 patients and to evaluate their correlation with in-hospital mortality. Material(s) and Method(s): Patients aged 18 years and older who applied to the emergency and/or pandemic outpatient clinic of our hospital and were hospitalized and whose COVID-19 PCR test was positive were included. Demographic data, vital and physical examination findings, laboratory values including D-dimer and fibrinogen levels were recorded. P <0.05 was considered statistically significant. Result(s): Patients with increased D-dimer value were found to have higher age, higher rate of chronic kidney disease, higher fever and pulse values, lower saturation measurements, longer duration of the complaint, more severe pneumonia, longer hospital stay, greater requirement for mechanical ventilation and intensive care (p<0.05 for all values). It was observed that the patients with increased fibrinogen were older and the duration of complaints was longer. When the laboratory values of the patients with and without fibrinogen increase were compared, it was determined that neutrophil, CRP and sedimentation values of the patients with increased fibrinogen were lower (p<0.05 for all values). Discussion(s): In our study, we demonstrated that D-dimer levels measured at admission and during follow-up were higher in the deceased patients than in the surviving ones. We did not detect any clinical association between admission and follow-up fibrinogen levels and mortality in the deceased patients as compared with the surviving ones.Copyright © 2022, Derman Medical Publishing. All rights reserved.

A retrospective and comparative study between quick sequential organ failure assessment, CURB-65, and early warning scorings in COVID-19 patients to predict the disease severity and outcome

Background: Predicting the severity of COVID-19 infection in advance is the key to success of its treatment outcome. Various scoring systems are used to detect the severity of this disease but this study targets three simple scoring systems based on the vital parameters and basic routine laboratory tests. Aims and Objectives: The aim of the study was to assess the predictability of three scoring systems (Quick sequential organ failure assessment [q SOFA], CURB-65, and Early Warning scoring system) for disease severity at presentation in a rural-based tertiary care center. Material(s) and Method(s): An observational, descriptive, retrospective, and cross-sectional study was conducted at Diamond Harbour Government Medical College Covid Hospital from January 2021 to January 2022 to assess the predictability of q SOFA, CURB-65, and Early Warning scoring system for disease severity at presentation. Result(s): The total number of participants was 561 among total admitted 1367 patients. A short descriptive analysis obtained from the variables to analyze the scorings showed among total sample collected, 57% were male and 43% were female. In this study, 87% of patients were survived and the rest 13% succumbed (death). There is no statistically significant difference in mortality between both genders. Age, pulse rate, and respiratory rate have a significant correlation with the outcome and altered sensorium is also highly associated with mortality. The accuracy was also found to be little higher for National Early Warning score (NEWS) score than CURB-65 scoring and q SOFA scoring (0.919, 0.914 and 0.907). Although all the scoring systems have high sensitivity (>90%) (CURB 65: Most sensitive [0.99]), the specificities of all three scoring systems are below 50%. Among these three-scoring systems, NEWS showed the highest specificity (0.492) than q SOFA (0.423) and CURB 65 (0.394). Conclusion(s): We suggest NEWS score and CURB-65 as a better predictor for in-hospital mortality in COVID-19 patients as it is significantly sensitive and reasonably specific. It can be recommended in less equipped hospitals where only basic laboratory facilities are available. qSOFA can be utilized where no laboratory facility is available like in safe home and isolation centers.Copyright © 2023, Mr Bhawani Singh. All rights reserved.

Effect of compression of fourth ventricle on the respiratory capacity in the post COVID patients

Introduction and Aim: Post-covid syndrome is the group of nonspecific symptoms which are seen among the patients who have been recovered from COVID-19 and that persist over 4 weeks. Symptoms involve fatigue, breathlessness, cough, cognitive disturbances, depression and anxiety, many organs related symptoms, and the prominent features involve shortness of breath and inability to return to baseline activity level. Studies show that Pneumonia which is associated with the COVID-19 infections can lead to long-standing damage to the alveoli in the lungs and as a result scar tissues may develop which in the future can lead to long-term breathing problems. The aim of this study is to assess the effectiveness of osteopathic CV4 technique in post covid patients. Material(s) and Method(s): This is a pre-test and post-test experimental study conducted at Sri Sri University. In this study, 20 subjects both male and female, having mean age of 23.3 +/- 2.81 years were taken. After assessment of all inclusion and exclusion criteria, a brief history regarding COVID-19 and if present other respiratory disorders was taken. Following this, a 5 minutes window period was given to all participants before the collection of pre-test data. Result(s): When CV4 osteopathic technique was given to post-covid patients, there was a significant change in FVC, FEV1, PEF and pulse rate when compared to the pretest intervention data. However, the changes in oxygen saturation levels were not statistically significant. Conclusion(s): The results show that osteopathic CV4 technique alters the respiratory capacity in post covid patients.Copyright © 2023, Indian Association of Biomedical Scientists. All rights reserved.

Comparison of scoring systems' mortality prediction ability in COVID-19 intensive care patients over 80 years of age

Aim: In this study, we aimed tto compare the 30-day mortality prediction abilities of the acute physiology and chronic health evaluation II (APACHE II), CURB-65, pneumonia severity index (PSI), A-DROP, Infectious Diseases Society of America/American Thoracic Society severity criteria, and I-ROAD scores in patients aged over 80 years admitted to the intensive care unit with COVID-19 pneumonia. Material(s) and Method(s): The study was conducted with a single-center retrospective observational design and included patients aged 80 years and older who were admitted to the intensive care unit due to COVID-19 pneumonia between March 2020 and August 2021. Patient demographic data, imaging findings, blood test results, discharge status, length of stay in the intensive care unit, duration of mechanical ventilation, inotropic drug administration status, presence/ absence of mortality and vital signs at the time of admission were obtained from the hospital automation system. Then, the above-mentioned scores were calculated and compared statistically. Result(s): The study was completed with 119 patients, 60 (50.4%) women and 59 (49.6%) men. The mean age of all patients was 84 (80-98) years, and the mortality rate was 84.03% (n=100). Among the scoring systems, I-ROAD had the highest area under the curve (AUC) value (0.703), APACHE II had the highest specificity (94%), and A-DROP had the highest sensitivity (64%). Discussion(s): According to our results, the I-ROAD scoring system is an effective tool that can be used in the prediction of mortality related to COVID-19 pneumonia among intensive care patients aged >=80.Copyright © 2023, Derman Medical Publishing. All rights reserved.

OCCUPATIONAL AND ENVIRONMENTAL INFLUENCES ON HYPERTENSION

In this brief review I shall try to discuss several topics related to hypertension which maybe associated with occupational and environmental effects. Effects of dietary sodium will not be discussed as these are extensively discussed elsewhere. Occupational stress is difficult to define but there seems to be a relationship between high demands and relatively low control, and blood pressure in both men and women despite different professional distribution. Noise, a relatively less recognized stressor that may be associated with hypertension Both industrial noise and urban noise. Recently due to the Covid19 lockdown and reduction of aircraft noise in relevant areas a reduction of bloodpressure was noted. Seasonal variation with rise of blood pressure during cold and perhaps shorter daytime light seasons, and subsequent reduction in the summer with its higher temperatures and longer light hours is one environmental factor. Air pollution, especially that associated with high level small particulate matter equal to, or smaller than 0.25 μm, was associated with hypertension in several studies, with quite and ethnic and geographic variability. High altitude exposure (higher than 2500 m), involves hypoxemia (in addition to radiation, cold temperatures, and dehydration because of dryness of inhaled air), resulting in renin angiotensin system activation and sympathetically induced vascular contraction, and elevation of pulse rate and blood-pressure at rest and an exaggerated increase during exercise. Immigration seems to be associated with hypertension through different mechanisms in different populations. Mechanisms of these effects are not well understood though some must be mediated through sympathetic activation, others through the renin angiotensin system though, hypoxemia, altered redox state and inflammation all might participate along with other mechanisms.

Effect of Rosuvastatin in the Protection against Azithromycin Induced Cardiotoxicity in Covid-19 Patients: A One-Year Prospective Study

Background Azithromycin is a widely used broad-spectrum antibiotic that was recently used in the treatment protocol of COVID-19 but its cardiac side effects became a more prominent concern. Rosuvastatin is a synthetic statin that showed anti-inflammatory, antioxidant and autonomic nervous system regulatory effects in addition, there is increasing evidence supporting that it could play a beneficial role in patients with COVID-19. Objective To evaluate the protective effect of Rousvastatin against Azithromycin-induced cardiotoxicity in Covid-19 patients. Patients and Methods This is a prospective study that was conducted on adult patients diagnosed with COVID-19 who were admitted to isolation centres in Minia Governorate, Egypt for the period of one year (June 2021 to May 2022). The study included a total of 80 COVID-19 patients who were divided into 2 groups (n=40 each), group (I) "Azithromycin group" that included patients received Azithromycin (500 mg/day for 5 days) orally and group (II) "Azithromycin + Rosuvastatin group" that included patients received Azithromycin by oral route as group (I) plus Rosuvastatin 20 mg/day orally. All included cases were subjected to full history taking, clinical examination and laboratory investigations and after treatment, the outcome measures were reported and compared. Results No significant differences were observed between groups regarding demographic and baseline characteristics. Also, the two groups were comparable with no significant differences in pulse rate, blood sugar, CBC, electrolyte elements, liver enzymes, and kidney function (a slight reduction was noticed in group II). While, Ferritin level was significantly lower in group (II) compared to group (I), (830 +/- 72.5 vs. 865 +/- 69.5, p=0.03). No significant differences were observed among groups as regards Troponin level (p=0.56) "Only one case was positive in group (I)". Both groups were almost comparable without significant differences in both stages of infection and mortality (p=0.38 and 1.0, respectively). Conclusion Rosuvastatin did not have a significant role in the protection of Azithromycin-induced cardiotoxicity, it slightly ameliorates the biochemical and stress markers alterations of Azithromycin. Further larger studies are warranted for investigating this issue. Copyright © 2023 Wolters Kluwer Medknow Publications. All rights reserved.

Internet of Medical Things - The Future of Healthcare

Background: The Internet of Medical Things (IoMT) is now being connected to medical equipment to make patients more comfortable, offer better and more affordable health care options, and make it easier for people to get good care in the comfort of their own homes. Objective(s): The primary purpose of this study is to highlight the architecture and use of IoMT (Internet of Medical Things) technology in the healthcare system. Method(s): Several sources were used to acquire the material, including review articles published in various journals that had keywords such as, Internet of Medical Things, Wireless Fidelity, Remote Healthcare Monitoring (RHM), Point-of-care testing (POCT), and Sensors. Result(s): IoMT has succeeded in lowering both the cost of digital healthcare systems and the amount of energy they use. Sensors are used to measure a wide range of things, from physiological to emotional responses. They can be used to predict illness before it happens. Conclusion(s): The term "Internet of Medical Things" refers to the broad adoption of healthcare solutions that may be provided in the home. Making such systems intelligent and efficient for timely prediction of important illnesses has the potential to save millions of lives while decreasing the burden on conventional healthcare institutions, such as hospitals. patients and physicians may now access real-time data due to advancements in IoM. Copyright © 2022 Wal et al.

Design and Implementation of Patient's Health Care Robot for Covid'19 Wards

Due to the obvious challenges created by COVID-19 and the resultant lockdowns, many people and businesses have appealed to robots in wards to assist them in dealing with the pandemic's issues. Perks of traditional human labour, robotics and similar technology provide a variety of advantages through-out the covid'19 pandamic. Despite natural viral immunity and the impossibility of any disease-causing virus to be transmitted from people to robots, the robotics industry still confronts a number of technological challenges.In this experiment, the robot examines the severity check of the patient with the temperature and pulse rate sensor and are demonstrated to be an overall suitable technique of dealing with many of the issues provided by COVID-19 wards.As a normal human it is difficult to enter the covid wards as it may cause transaction of virus from patient to a healthy individual, hence this robot combined with the treatments with possible circumstances to help the patient is been done. Convenient working of the robot also self sanitizes itself and has the dispensing methods to sanitise the area around the patients. The project's scope is to make a methodological approach to make social robots implemented to enhance the well-being of these persons who are most affected by the symptoms in covid wards. © 2022 IEEE.

Cardiac tamponade as the first presentation of thymoma: A case report during COVID-19 pandemic

We report a case of neoplastic cardiac tamponade, a life-threatening condition, as the initial presentation of an anterior mediastinal malignancy. A 69-year-old gentleman with no known history of malignancy presented to the emergency department with shortness of breath, reduced effort tolerance and chronic cough. Clinically, he was not in distress but tachycardic. He was subjected to echocardiography which revealed large pericardial effusion with tamponade effect. Pericardiocentesis drained 1.5 L of haemoserous fluid. CECT thorax, abdomen and pelvis revealed an anterior mediastinal mass with intrathoracic extension complicated with mass effect onto the right atrium and mediastinal vessels. Ultrasound-guided biopsy histopathology examination revealed thymoma. Due to locally advanced disease, tumour resection was not possible, and patient was referred to oncology team for chemoradiotherapy. We report this case study not only due to the rarity of the case but also to highlight its diagnostic challenge due to the COVID-19 pandemic. Copyright © The Author(s) 2022.

Race and Sex Differences in Vital Signs Associated with COVID-19 and Flu Diagnoses in Mississippi.

Early detection of viral infections, such as COVID-19 and flu, have potential to reduce risk of morbidity, mortality, and disease transmission through earlier intervention strategies. For example, detecting changes in vital signs have the potential to more rapidly diagnose respiratory virus diseases. The objective of this study was to utilize the University of Mississippi Medical Center's extensive clinical database (EPIC) to investigate associations between temperature, pulse rate, blood pressure (BP), and respiration rate in COVID-19 and flu diagnosed patients. Data from 1,363 COVID-19 (March 3, 2020, to February 27, 2021) and 507 flu (October 1, 2017, to September 30, 2018) diagnosed patients with reported demographic dimensions (age, first race, and sex) and office visit dimensions (BMI, diastolic BP, pulse rate, respiration rate, systolic BP, and temperature) was obtained, including day of diagnosis and additional encounter visits 60 days before and after first unique diagnosis. Patients with COVID-19 or flu were disproportionately obese, with 93% of COVID-19 and 79% of flu patients with BMI ≥ 30. Most striking, Black women 50-64 years of age disproportionately carried the burden of disease. At the time of diagnosis, temperature was significantly increased for all patients, yet pulse rate was only significantly increased for flu diagnosis, and BP was not significantly different in either. Our findings show the need for more complete demographic and office visit dimension data from patients during epidemic and pandemic events and support further studies needed to understand association between vital signs and predicting respiratory disease.

An Efficient Pulse Detector with Arduino and IR Sensor

For patients to receive good care, doctors must be present. To administer medication or provide treatment, he can't be everywhere at once. If we regularly examine our health, we may be able to identify certain illnesses by spotting them early on. Because of coronary syndromes, many people have died. Doctors are unable to see patients in person until the condition is serious, especially during this period (the Corona virus phase). Because of this, a system to measure pulse rate has been devised in this work. Pulse detection is a straightforward but crucial aspect of keeping track of a patient's health. The hardware used in this research investigates the implementation of a pulse sensor utilising the Arduino development platform and an infrared sensor module created for the Arduino development board. © 2022 IEEE.

Does combined usage of FFP2 and Surgical mask against SARS-CoV-2 affect SpO2 values and pulse rates of dental health-care workers?

Background and Aim: Combined use of surgical mask with filtering facepiece (FFP) 2 masks has been popular among the health-care workers. However, the effect of this preference on the vital values of individuals stays as a challenge among the professionals. The present study aimed to assess the effect of FFP2 mask versus combined use of it with surgical mask on the SpO2 values and pulse rates of individuals. Patients and Methods: This study was conducted on 20 health-care workers. The pulse rates and SpO2 values were evaluated by pulse oximeter placed in the index fingers of the participants. The participants were divided into two groups: those using the FFP2 mask and those using FFP2-surgical mask combination. Individuals wearing FFP2 mask were examined for a period of 60 min and the same examination was repeated for another period of 60 min in those using combination of FFP2 with surgical mask. The values were measured at the beginning and at 15, 30, 45, and 60 min intervals, respectively. The examinations were conducted in the rest position to obtain standardization. Results: The observed data showed no statistical difference at all periods in either SpO2 values or pulse rates between FFP2 and FFP2-surgical mask combined groups. The SpO2 values reduced from the initial time to 15 min in the FFP2-surgical mask group. Also, in the FFP2-SM group, statistically significant increase in values was observed between 15 and 45 min and 15 and 60 min. Another increase in SpO2 value was found in the observations made between made 30 and 45 min in the same group (P < 0.05). The pulse rates of the individuals showed no statistical difference in both the groups and at all experimental periods (P > 0.05). Conclusion: According to the present study, wearing only the FFP2 mask or FFP2-surgical mask combination seems not to cause any effect on the SpO2 values and pulse rates of the participants.