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Environmental noise significantly impacts human health and well-being. It is a widespread problem in Europe, where at least one in five people are exposed to harmful levels of noise. Hearing loss is the most known health effect related to noise exposure. There is, however, growing data that links noise exposure to hypertension, coronary artery disease, and stroke. According to some theories, this relationship may be explained by the indirect pathway of noise exposure, which can cause sympathetic and endocrine activation, as well as several cognitive and emotional responses, including annoyance. Noise exposure leads to stress reactions independent of cognitive involvement. There is a possibility that noise exerts its effects directly through synaptic interactions, as well as through cognitive and emotional effects. Epidemiological studies indicate that nocturnal noise exposure has more profound health consequences. Nighttime noise exposure is associated with an increase in heart rate due to sympathetic activation or parasympathetic withdrawal, and with an increase in blood pressure as well as endothelial dysfunction. Hypertension is a common condition and is an important risk indicator for other cardiovascular diseases. Previous studies showed an association between noise exposure, blood pressure and arterial hypertension. Meta-analysis of cross-sectional studies found an increase of hypertension prevalence per 10 dB increase in daytime average road traffic noise level. There is, however, some heterogeneity among these studies. Prospective studies have also found an association between aircraft noise exposure and hypertension, supporting the cross-sectional findings. The analyses, of data from the large Hypertension and Exposure to Noise near Airports (HYENA) study, showed that an increase in nocturnal aircraft noise exposure per 10 dB was associated with an increased incidence of hypertension. The meaningful effect of night-time aircraft noise on arterial hypertension was also observed in the prospective observation of the subset of individuals from that study. In a longitudinal observation of 420 participants, higher aircraft noise exposure during the night significantly associated with the incidence of hypertension. Previous cross-sectional case-control study conducted in 2015, in 2 suburban areas of Krakow, Poland, revealed an increase in blood pressure and arterial stiffness as determined by carotid - femoral pulse wave velocity in individuals exposed to increased aircraft noise levels. However, even short-term noise reduction, as experienced during the COVID-19 lockdown, may reverse those unfavorable effects. As a result of these observations, noise mitigation strategies are important for cardiovascular health.
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Background: Post COVID19 condition occurs in individuals with a history of probable or confirmed SARS Cov2 infection, usually 3 months from the onset of COVID19 with symptoms that last for up to at least 2 months and cannot be explained by an alternative diagnosis. Common symptoms include fatigue, shortness of breath, cognitive dysfunction, but also arterial hypertension (AH) and generally have an impact on everyday function. Aim: COVID 19 pneumonia initiates new onset AH and aggravates the structural and functional myocardium remodeling in the long term after hospitalization. Methods: The study population /initially questioned 1500 patients for symptoms after acute COVID 19 pneumonia / included 220 patients without history of any disease, mean age of 45 ± 12 years, male 145 (43 ± 10 years) female 75 (52 ± 14 years). The global longitudinal strain (GLS) was extracted for left ventricle (LV) and right ventricle(RV) and AMBP analysis, mean arterial pressure (MAP)and heart rate HR were performed at baseline /30-40 days after acute infection/ 3rd and 12th months follow up. CMR was performed at 3rd (3mFU) and 12th months (12mFU) also to confirm our resulst. Results: From initial population /1500 pts/ self-reported symptoms at 12mFU are 1265 (84.6 %) and 235 /15.4 %) are symptom free at 12mFU. At 3mFU HR and MAP increased significantly / from 75 ± 6 beats /min to 88 ± 12 beats/ min, 109 ± 15 mmHg to 118 ± 19mmHg. Sys BP increased slightly at 3mFU /128 ± 14, p = 0.6/ and continue at 12mFU / 129 ± 12, p = 0.7/. Diastolic BP increased significantly at 12mFU /86 ± 12.3 to 91 ± 10.0, p > 0.01/ and AH presence at 3mFU in 143 (65%)up to 161(73%) at 12mFU. Symptoms of heart failure with preserved EF were found at 3mFU in 91 pts (41%) and in 99 pts (45%) at 12mFU. Echocardiography showed predominantly decrease of the load on the right heart at 3mFU and 12mFU (RV FAC % p < 0.019, TAPSE p < 0.05, RVOT VTI p < 0.01). LV function showd increased EDD, ESD, EDV, ESV, and decreased EF and GLS at 3mFU and slightly improvement at 12mFU. Despite normal EF, GLS / 18.5 %, p < 0.01) and segmental LS in all apical and mid anteroseptal, inferoseptal and basal anteroseptal and inferoseptal levels (16% to 18%, p < 0.01) and RV (22.3% to 24%) at 12mFU shown diminished and still preserved values. Conclusion: New onset AH is one of major symptoms after COVID 19 and remains at 12mFU. Despite of satisfactory improvement of conventional parameters for LV and RV function, GLS indicate worsening of the LV systolic function.
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As the healthcare response to the COVID-19 pandemic continues, providing enhanced protection to frontline healthcare personnel exposed to aerosolized infectious material is essential. The rapid spread of the COVID-19 virus across the globe in early 2020 generated an overwhelming surge in demand for effective personal protective equipment (PPE), in particular, passive personal respirators (PPR). Global manufacturing of PPR was limited, and research and development of improved respirators were restricted by the availability of accredited laboratories for timely testing at the peak of the pandemic. The authors have described a clinical method of safety and efficacy testing of a new PPR, the TopBioShield, using portable capnography for the measurement of end-tidal pCO2 (ETCO2) and bedside pulse oximetry to measure oxygen saturation (SpO2), respiratory rate (RR), and heart rate (HR) in healthy volunteers to overcome shortages of clinical testing capabilities during the height of the pandemic. Twenty-eight volunteers with a median age of 41 years (range 16–71) representing all 10 subgroups of head/face size were included. Only one participant asked to withdraw due to a feeling of claustrophobia after 30 min. Clinical monitoring while wearing TopBioShield revealed ETCO2, SpO2, respiratory rate, and heart rate measurements were within normal limits in all the subjects throughout the experiment. Bedside clinical monitoring is effective in demonstrating the physiological safety of PPR and is an important alternative to conventional mannequin testing. In this study all measured values over a 90-min experiment period were within normal limits, demonstrating the effectiveness of TopBioShield in preventing CO2 retention. Clinical testing methods must adhere to the highest standards and are essential during times of shortage. © 2023, The Institution of Engineers (India).
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Introduction: Cardiovascular events are the leading cause of mortality in patients with chronic kidney disease on hemodialysis (CKD-HD). Recent evidence suggests that coronavirus-19 disease (COVID-19) would induce vascular endothelial function alterations to increase cardiovascular risk. However, whether COVID-19 contributes to endothelial dysfunction in patients with CKD-HD is unclear. Objective: To assess whether COVID-19 worsens endothelial function in a cohort of patients with chronic kidney disease on hemodialysis. Materials and Methods: Patients with chronic kidney disease on hemodialysis were divided into those without COVID-19 (CKD;n = 68) and mild COVID-19 (CKD-C19;n = 11, WHO criteria and PCR+). Informed consent was obtained. Systolic (SBP), diastolic (DBP) and mean (MAP) blood pressures, heart rate (HR), and endothelial function (EF) were evaluated for reactive hyperemia. It was determined dry weight, height, fat mass index (FMI), muscle mass index (MMI), and body mass index (BMI). Results were compared with normal people without CKD (Control = C, n = 10). Results: CKD and CKD-C19 presented a high SBP compared to the controls and without differences between them (C: 119 ± 3, n = 10 vs. CKD: 145 ± 2, n = 68 vs. CKD-C19: 143 ± 3 mmHg, n = 11;p < 0.05 vs. C). Patients CKD-C 19 presented greater endothelial dysfunction compared to CKD and the control group (EF: CKD-C19:2 ± 1, n = 11 vs CKD:4.5 ± 1, n = 28 vs. C:12.1 ± 1, n = 10;p < 0.05). In CKD and C-C19 an increase in BMI was observed in conjunction with an increase in fat mass, without differences in the muscle mass index between both groups (X2:p: NS). No association was observed between EF and BMI or IMG. Conclusions: The present study indicates that COVID-19 would aggravate endothelial dysfunction in patients with chronic kidney disease on hemodialysis. This would not be related to increased BMI or elevated blood pressure. However, more studies are needed to determine the role of COVID-19 on vascular function in this population. (Table Presented).
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Objective: While there are several studies that have focused on the role of face masks in preventing airborne transmission of SARS-CoV-2, few data are available on their effects on physiological measures, and no study has examined their effects on blood pressure (BP). The purpose of our study was to investigate the effect of surgical masks on BP in drug-treated hypertensive patients who had a routine follow-up visit to a university hospital outpatient hypertension clinic. Design and method: The study included already treated hypertensive patients aged > 18 years, while the exclusion criteria were atrial fibrillation or any other arrhythmia affecting the BP measurement, an arm circumference > 42 cm, mental disorders, Parkinson disease, pregnancy, intolerance to the BP measurement method, or unwillingness to participate. A new surgical mask was provided to all participants to replace the face mask that was already in use. After the routine mask-on office BP measurement, patients were left alone and randomized to automated office BP measurement, with measurements taken after first wearing a mask for 10 min, then without wearing the mask for 10 min, and vice versa. Results: A total number of 265 patients were included in the study. Among the participants, 115 were women (43.4%), the mean age was 62 ± 12 years, and the mean office BP was 134 ± 15 / 81 ± 12 mmHg. There was no significant difference between mask-on unattended systolic BP (133 ± 15 mmHg) and mask-off unattended systolic BP (132 ± 15 mmHg) (P = 0.13) or between mask-on unattended diastolic BP (77 ± 13 mmHg) and mask-off unattended diastolic BP (76 ± 13 mmHg) (P = 0.32). Moreover, there was no difference in the heart rate (mask-on first, 69 ± 11 bpm;mask-off first, 69 ± 11 bpm, P = 0.7). Conclusions: Common surgical masks do not affect systolic/diastolic BP levels during unattended BP measurements in treated hypertensive patients.
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Objective: There is a scarcity of data on the factors that influence home blood pressure (BP) and heart rate (HR) variability. This study was undertaken to determine the factors that influence home BP and HR fluctuation post COVID infection in the urban Indian population. Designs and Methods: We conducted a cross-sectional study among 1000 patients between the ages of 30 and 80 who were previously infected with COVID- 19 infection, but not hospitalized. These patients were guided and trained to measure BP at home. BP and HR readings were taken at home twice a day, in the morning and evening, for seven days (28 measurements). The SD of morning minus evening, and first minus second readings was used to calculate BP and HR variability. Results: Old age, cardiovascular illness, diabetes, and high home blood pressure were all found to be independent predictors of an increased morning than evening home blood pressure variability. Old age, and high home blood pressure were all independent determinants of greater day-to-day home blood pressure variability, while old age, female sex, cardiovascular disease, and high home blood pressure were all independent determinants of greater first versus second home blood pressure variability. Young age, and high home HR, on the other hand, were all independent drivers of increased morning vs evening variability. Young age, female sex, and a high home HR were also independent predictors of first versus second home HR variability. Conclusion: Considering home BP and HR fluctuation have prognostic value, it is critical for clinicians to understand the underlying reasons for these variables. Doctors should focus on alcohol, diabetes, and cardiovascular disease prevention counseling for their high-risk patients. (Table Presented).
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Medical specialists are primarily interested in researching health care as a potential replacement for conventional healthcare methods nowadays. COVID-19 creates chaos in society regardless of the modern technological evaluation involved in this sector. Due to inadequate medical care and timely, accurate prognoses, many unexpected fatalities occur. As medical applications have expanded in their reaches along with their technical revolution, therefore patient monitoring systems are getting more popular among the medical actors. The Internet of Things (IoT) has met the requirements for the solution to deliver such a vast service globally at any time and in any location. The suggested model shows a wearable sensor node that the patients will wear. Monitoring client metrics like blood pressure, heart rate, temperature, etc., is the responsibility of the sensor nodes, which send the data to the cloud via an intermediary node. The sensor-acquired data are stored in the cloud storage for detailed analysis. Further, the stored data will be normalized and processed across various predictive models. Among the different cloud-based predictive models now being used, the model having the highest accuracy will be treated as the resultant model. This resultant model will be further used for the data dissemination mechanism by which the concerned medical actors will be provided an alert message for a proper medication in a desirable manner. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
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Objective: Few data have been published regarding the holistic approach of post- Covid patients, examining physical health. The purpose of our study was to examine the impact of arterial hypertension in the cardiopulmonary status of post-covid patients 3 months after the first day of infection. Design and Method: All participants who recovered Covid-19 infection underwent cardiorespiratory exercise using either Bruce or modified Bruce protocol where all parameters were evaluated and transthoracic echocardiogram. The population was separated into two groups based on history of hypertension. Group I (n = 29) included hypertensive subjects and Group II (n = 75) included normotensive subjects. Results and Conclusion: A total of 104 patients were assessed 3 months after the onset of COVID-19 symptoms. We recorded a mean age of 49 ± 15 years, 50.5% of them were males, 8.7% had a history of coronary heart disease. Hypertensives had higher BMI (29.24 ± 24 vs 26.64 kg/m2 p < 0.01) and BSA (2.09 ± 0.25 vs. 1.95 ± 0.58, p = 0.001). They were hospitalized in higher percentage comparing to normotensives (72.4% vs. 41.3%, p < 0.01). Left atrial diameter (41 ± 6 vs. 35 ± 5.5 mm, p < 0.001) was significantly larger in hypertensives. Furthermore, A wave (79 ± 21 vs. 58 ± 18 cm/s p < 0.001) and ratios of E/A (1.01 ± 0.42 vs. 1.28 ± 0.44, p < 0.01) and E/E (7.3 ± 3.7 vs. 5.9 ± 4.3, p < 0.01) differed between two groups. Finally, LVEF (%) was significantly impaired in hypertensive comparing to normotesive subjects (53 ± 13% vs. 59 ± 7%). This finding was depicted in lower maximum oxygen consumption (VO2 22 ± 4.5 vs. 28 ± 8 ml/kg/min p < 0.001), metabolic equivalents (METS) at peak, 9.1 ± 3 vs. 14 ± 20 p < 0.001), maximum heart rate (maxHR 147 ± 17 vs. 165 ± 21 bpm p < 0.001) and HR1st minute recovery (123 ± 28 vs. 138 ± 21 bpm, p: 0.02) comparing to normotensive. Systolic blood pressure (SBP 180 ± 29 vs. 165 ± 25mmHg, p: 0.02) during the 1st minute of recovery was higher in hypertensives. Finally, the duration of exercise was significantly lower in patients with hypertension (7.3 ± 2.7 vs. 9 ± 4 min, p:0.02). To conclude, the current study highlighted the negative impact of hypertension in the ability to exercise. Regardless of the disease severity, post-covid patients need a comprehensive approach for rehabilitation including the modification of risk factors like hypertension and obesity.
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The global anxiety and economic crisis causes the deadly pandemic coronavirus disease of 2019 (COVID 19) affect millions of people right now. Subsequently, this life threatened viral disease is caused due to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). However, morbidity and mortality of infected patients are due to cytokines storm syndrome associated with lung injury and multiorgan failure caused by COVID 19. Thereafter, several methodological advances have been approved by WHO and US-FDA for the detection, diagnosis and control of this wide spreadable communicable disease but still facing multi-challenges to control. Herein, we majorly emphasize the current trends and future perspectives of nano-medicinal based approaches for the delivery of anti-COVID 19 therapeutic moieties. Interestingly, Nanoparticles (NPs) loaded with drug molecules or vaccines resemble morphological features of SARS-CoV-2 in their size (60–140 nm) and shape (circular or spherical) that particularly mimics the virus facilitating strong interaction between them. Indeed, the delivery of anti-COVID 19 cargos via a nanoparticle such as Lipidic nanoparticles, Polymeric nanoparticles, Metallic nanoparticles, and Multi-functionalized nanoparticles to overcome the drawbacks of conventional approaches, specifying the site-specific targeting with reduced drug loading and toxicities, exhibit their immense potential. Additionally, nano-technological based drug delivery with their peculiar characteristics of having low immunogenicity, tunable drug release, multidrug delivery, higher selectivity and specificity, higher efficacy and tolerability switch on the novel pathway for the prevention and treatment of COVID 19. © 2022 The Author(s)
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Background: Critically ill COVID-19 patients have an elevated risk of experiencing hypercoagulable conditions. Currently, many COVID-19 patients have been administered anticoagulation or antiplatelet therapies to lower the risk of systematic thrombosis. Iliopsoas hematoma is a potentially fatal and rare complication of bleeding disorders or anticoagulation therapy which sometimes grows to become clinically significant. The main purpose of this case review is to emphasize the importance of diagnosing iliopsoas hematomas and the possibility of antiplatelet contribution to its development. Case Presentation: We are reporting a rare presentation of non-traumatic iliopsoas hematoma in a non-anticoagulated patient. The patient is a 59-year-old male, with known type-2 diabetes, on oral hypoglycemic medications, 3-weeks post-COVID-19. He had started aspirin 81 mg orally, once daily, to prevent thrombotic events associated with COVID 19 infection, with no anticoagulant use and no other medications. He came in through the ED, presenting with two weeks history of progressive right lower limb weakness in which an iliopsoas hematoma diagnosis was confirmed based on radiological investigation. Conclusion: The possibility of iliopsoas hematoma should be considered in non-anticoagulated patients with no inherited or acquired coagulation disorders presenting with limb weakness. The link between antiplatelet use in a COVID-19 patient and the development of soft tissue bleeding (e.g., iliopsoas hematoma) must be studied further. © 2022 [The Author/The Authors]
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ECG provides critical information in a waveform about the heart's condition. This information is crucial to physicians as it is the first thing to be performed by cardiologists. When COVID-19 spread globally and became a pandemic, the government of Saudi Arabia placed various restrictions and guidelines to protect and save citizens and residents. One of these restrictions was preventing individuals from touching any surface in public and private places. In addition, the authorities placed a mandatory rule in all public facilities and the private sector to evaluate the temperature of individuals before entering. Thus, the idea of this study stems from the need to have a touchless technique to determine heartbeat rate. This article proposes a viable and dependable method to estimate an average heartbeat rate based on the reflected light on the skin. This model uses various deep learning tools, including AlexNet, Convolutional Neural Networks (CNNs), Long Short-Term Memory Networks (LSTMs), and ResNet50V2. Three scenarios have been conducted to evaluate and validate the presented model. In addition, the proposed approach takes its inputs from video streams and converts these streams into frames and images. Numerous trials have been conducted on volunteers to validate the method and assess its outputs in terms of accuracy, mean absolute error (MAE), and mean squared error (MSE). The proposed model achieves an average 99.78% accuracy, MAE is 0.142 when combing LSTMs and ResNet50V2, while MSE is 1.82. Moreover, a comparative measurement between the presented algorithm and some studies from the literature based on utilized methods, MAE, and MSE are performed. The achieved outcomes reveal that the developed technique surpasses other methods. Moreover, the findings show that this algorithm can be applied in healthcare facilities and aid physicians.
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BACKGROUND: Heart rate variability is a non-invasive, measurable, and established autonomic nervous system test. Long-term COVID-19 sequelae are unclear; however, acute symptoms have been studied. OBJECTIVES: To determine autonomic cardiac differences between long COVID-19 patients and healthy controls and evaluate associations among symptoms, comorbidities, and laboratory findings. METHODS: This single-center study included long COVID-19 patients and healthy controls. The heart rate variability (HRV), a quantitative marker of autonomic activity, was monitored for 24 h using an ambulatory electrocardiogram system. HRV indices were compared between case and control groups. Symptom frequency and inflammatory markers were evaluated. A significant statistical level of 5% (p-value 0.05) was adopted. RESULTS: A total of 47 long COVID-19 patients were compared to 42 healthy controls. Patients averaged 43.8 (SD14.8) years old, and 60.3% were female. In total, 52.5% of patients had moderate illness. Post-exercise dyspnea was most common (71.6%), and 53.2% lacked comorbidities. CNP, D-dimer, and CRP levels were elevated (p-values of 0.0098, 0.0023, and 0.0015, respectively). The control group had greater SDNN24 and SDANNI (OR = 0.98 (0.97 to 0.99; p = 0.01)). Increased low-frequency (LF) indices in COVID-19 patients (OR = 1.002 (1.0001 to 1.004; p = 0.030)) and high-frequency (HF) indices in the control group (OR = 0.987 (0.98 to 0.995; p = 0.001)) were also associated. CONCLUSIONS: Patients with long COVID-19 had lower HF values than healthy individuals. These variations are associated with increased parasympathetic activity, which may be related to long COVID-19 symptoms and inflammatory laboratory findings.
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PURPOSE/HYPOTHESIS: Individuals with Long COVID experience a variety of symptoms (cardiopulmonary, neurological, musculoskeletal, and psychological) for 12 weeks or more after being infected with COVID-19. Preliminary evidence suggests exercise to be beneficial in alleviating short-term COVID-19 symptoms. The purpose of this investigation is to assess the impact of a progressive therapeutic exercise program on individuals with Long COVID. NUMBER OF SUBJECTS: Ten participants (8 females, 2 males) with Long COVID (age=49 +/- 5 yrs, mass = 89 +/- 6 kg, BMI = 30.2 +/- 1.9 kg/m2) were enrolled in the study. MATERIALS AND METHODS: Before and after the intervention participants were assessed for 6-minute walk distance (6MWD), 5-times sit to stand (5XSTS), gait speed, grip strength, perceived quality of life (SF-12), and general fatigue (visual analog fatigue scale, VAFS). Participants then completed a progressive, individualized exercise program (;8 weeks) designed to improve cardiovascular fitness, muscle strength, and endurance. Modes of exercise used to facilitate improvement in cardiorespiratory fitness included the treadmill, NuStep, semirecumbent bike, semi-recumbent elliptical, and standup elliptical. Heart rate (HR), blood pressure (BP), O2saturation, and rating of perceived exertion (RPE) were regularly monitored during aerobic exercise. Dumbbell exercises targeted at large muscle groups were used to challenge muscular strength and endurance. Progression of exercise intensity and duration was based on symptom response to exercise. Paired t-tests were used to evaluate changes in outcome measures following the intervention. RESULT(S): 6MWD (pre = 469 +/- 19 m, post=529 +/- 18 m, P = .001), 5XSTS (pre=11.4 +/- 1.1 s, post=9.4 +/- 0.9 s, P = .012), gait speed (pre=1.24 +/- 0.05m/s, post=1.35 +/- 0.07m/s, P = .029), and right (pre=69.8 +/- 4.2lbs, post=73.6 +/- 4.4lbs;P = .041) and left (pre=64.7 +/- 3.5lbs, post=68.8 +/- 3.1lbs;P = .041) grip strength improved following the intervention. Similarly, both the physical component (pre=44.4 +/- 3.1, post=50.76 2.4, P = .006) and mental component (pre=43.9 +/- 2.9, post=51.4 +/- 2.0, P = .007) of SF-12 improved, while VAFS (pre54.86 0.5, post52.86 0.6, P5.005) was reduced following the intervention. CONCLUSION(S): A progressive individualized exercise program can be effective at improving physical function and perceived quality of life in Long COVID patients. CLINICAL RELEVANCE: Many physicians are referring patients out to be treated for Physical Therapy, but there is currently limited reference of evidence-based practice to treat these individuals and some concern that exercise may exacerbate symptoms. The majority of APTA clinical guidelines for COVID-19 focus on short-term COVID-19 symptoms and do not address treatment methods for Long COVID symptoms. While functional status has been demonstrated to be negatively impacted in Long COVID patients, little guidance is available for treatment strategies in this population. This investigation provides physical therapists with a generalized strategy to improve physical function and quality of life in Long COVID patients.
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- All objects are now connected thanks to the technological advancements in the medical industry using IoT. IoT has been applied in a wide range of fields, including daily life. But the primary impact of IoT in healthcare is simply amazing. The project's
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Current remote monitoring of COVID-19 patients relies on manual symptom reporting, which is highly dependent on patient compliance. In this research, we present a machine learning (ML)-based remote monitoring method to estimate patient recovery from COVID-19 symptoms using automatically collected wearable device data, instead of relying on manually collected symptom data. We deploy our remote monitoring system, namely eCOVID, in two COVID-19 telemedicine clinics. Our system utilizes a Garmin wearable and symptom tracker mobile app for data collection. The data consists of vitals, lifestyle, and symptom information which is fused into an online report for clinicians to review. Symptom data collected via our mobile app is used to label the recovery status of each patient daily. We propose a ML-based binary patient recovery classifier which uses wearable data to estimate whether a patient has recovered from COVID-19 symptoms. We evaluate our method using leave-one-subject-out (LOSO) cross-validation, and find that Random Forest (RF) is the top performing model. Our method achieves an F1-score of 0.88 when applying our RF-based model personalization technique using weighted bootstrap aggregation. Our results demonstrate that ML-assisted remote monitoring using automatically collected wearable data can supplement or be used in place of manual daily symptom tracking which relies on patient compliance. IEEE
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The COVID-19 pandemic caused by a virus called RARS-CoV-2 spread worldwide. As the result, the number of people who are lack exercise has increased. In addition, there are few systems to evaluate exercise movements and facilitate physical exercise at home. In this study, we developed a boxing glove type sensation device an acceleration sensor was installed in a boxing glove to evaluate the power of a punch, and the device has the function of glitz to the punches by producing sound, vibration, and light according to the type and power of the punching motion. An evaluation experiment was conducted to confirm that this device could induce exercise and promote health by having fun. A comparison was made between a normal boxing glove and the boxing glove type sensation device. As the results, we could confirm that, the number of strong punches with high acceleration and the total number of punches increased in the sensation device. In addition, the heart rate after exercise increased significantly compared to before and after exercise. The results also showed an increase in mood elevation and positive emotions. © 2022 IEEE.
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A novel coronavirus, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2, also known as COVID-19) is a major problem for many countries in the world. Brunei is also affected by this COVID-19 pandemic in many ways. To alleviate the burden on the health ministry, we developed a low-cost, reliable Internet of Things (IoT) based real-time health monitoring system to diagnose early COVID-19 symptoms for patients at home. This diagnosis includes the three important physiological parameters such as body temperature, heart rate and oxygen saturation level (SpO2) in the blood. This system comes with an OLED LCD to display the three parameters. Apart from that, these parameters are also displayed on a mobile dashboard using the Cayenne IoT platform for easy access. This system was evaluated against many people, and the results were compared against the industry-standard pulse oximeters which are remarkably close and dependable. © 2022 IEEE.
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Stress is becoming an increasingly prevalent health issue, seriously affecting people and putting their health and lives at risk. Frustration, nervousness, and anxiety are the symptoms of stress and these symptoms are becoming common (40%) in younger people. It creates a negative impact on human lives and damages the performance of each individual. Early prediction of stress and the level of stress can help to reduce its impact and different serious health issues related to this mental state. For this, automated systems are required so they can accurately predict stress levels. This study proposed an approach that can detect stress accurately and efficiently using machine learning techniques. We proposed a hybrid model (HB) which is a combination of gradient boosting machine (GBM) and random forest (RF). These models are combined using soft voting criteria in which each model's prediction probability will be used for the final prediction. The proposed model is significant with 100% accuracy in comparison with the state-of-the-art approaches. To show the significance of the proposed approach we have also done 10-fold cross-validation using the proposed model and the proposed HB model outperforms with 1.00 mean accuracy and +/−0.00 standard deviation. In the end, a statistical T-test we have done to show the significance of the proposed approach in comparison with other approaches.
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Introduction: The bispectral index monitors the unawareness component of balanced anaesthesia and gives us the depth of Anesthesia.It reflects the response of the brain to a variety of hypnotic and inhaled anaesthesia agents. The aim of this study was to see the effect of different MAC values of isoflurane on the bispectral index and hemodynamic variations at different MAC values. Material(s) and Method(s): This prospective study was conducted on 20 patients at tertiary care center for 6 months. After induction of Anesthesia, following parameters were recorded: noninvasive blood pressure measurement, heart rate, oxygen saturation, ETCo2 and BIS values. The BIS was continuously monitored and when the MAC values of isoflurane were 0.5, 0.7, 1, 1.2 and 1.5 corresponding BIS values and all the other haemodynamic parameters were noted. Result(s): In 11 patients out of 20 patients satisfactory BIS of 40-60 was achieved at MAC 0.5. In 16 out of 20 patients satisfactory BIS 40-60 was achieved at 0.7 MAC. In all the 20 patients satisfactory BIS was achieved at 1 MAC.In 2 out of 20 patients we couldn't proceed beyond 1.0 MAC because of the fall in MAP to <65mm of Hg. In 4 out of 20 patients we couldn't proceed beyond 1.2MAC because of the fall in MAP to <65mm of Hg. Conclusion(s): Isoflurane produced satisfactory BIS of 40-60 in 16 patients at 0.7 MAC and in all the 20 patients at 1 MAC.Use of BIS in our study helped in better titration of Isoflurane according to patient's individual needs thereby we avoided light plane of anaesthesia or deep hypnosis and the adverse effects associated with it. Copyright © 2022 Wolters Kluwer Medknow Publications. All rights reserved.