FIELD-PROGRAMMABLE GATE ARRAY IMPLEMENTATION OF EMPIRICAL MODE DECOMPOSITION ALGORITHM FOR ELECTROCARDIOGRAM PROCESSING

The electrocardiogram (ECG) signal contains important information that is utilized by physicians for the diagnosis and analysis of heart diseases. Therefore, good quality ECG signal is required. Hilbert-Huang transform (HHT) is a method to analyze non-stationary and non-linear signals. Empirical mode decomposition (EMD) is the core of HHT. EMD breaks down signals into smaller number of components. These components form a complete and nearly orthogonal basis for the original signal. This algorithm is implemented on field-programmable gate array using the process of extrema generation, envelope generation, and stopping criterion.Â

Evaluation of Japakusumadi Yoga for safety profile - Acute Toxicity Profile

Japakusumadi Yoga is an Ayurvedic formulation, indicated for contraception in Ayurveda. This study determines acute toxicity of ‘Japakusumadi Yoga’ an oral formulation in wister albino rats. Single dose acute toxicity was assessed by employing OECD guidelines 425 using AOT software. Test formulations was administered to overnight fasted animals and 14 days observation of dosed (up down as per requirement) rats was done for general appearance, cage side behaviour including increased or decreasing motor activity, convulsions, straub’s reaction, catatonia, muscle spasm, spasticity, ophisthotonus, hyperesthesia, muscle relaxation, anaesthesia, arching and rolling, lacrimation, salivation, diarrhoea, writhing movement, mode of respiration and changes in skin colour etc., with mortality and autopsy finding in case of dead animal. Based on the observation made and recorded it can be concluded that the test drug is without any toxic potential even at the dose of 2000 mg/kg in animals equivalent to 22.4g for human being

Borderline ovarian tumours-patterns of recurrence and fertility outcome

Background: The aim of the study was to evaluate the factors affecting recurrence and prognosis in patients with borderline ovarian tumours and to assess the fertility outcome in women treated with conservative surgery.Methods: Fifty-six patients diagnosed with borderline ovarian tumours during the period between January 2005 and December 2009 in Regional Cancer Centre (RCC), Thiruvananthapuram were included. Patients were followed till December 2012.Results: Median follow up period was 52.5 months. The mean age at diagnosis was 33.5 yrs. Histopathology was serous in 41.1%, mucinous in 57.1%, and endometrioid in 1.8%. 48 patients (85.7%) had stage I disease, 2 patients (3.6%) had Stage II disease and 6 patients (10.7%) had stage III disease at diagnosis. 11 patients (19.6%) had bilateral tumours of which 7(63.6%) were serous and 4 were mucinous. 27 patients (48.2%) underwent fertility sparing surgery of which 13 patients underwent cystectomy and 14 underwent ovariotomy. 29 patients (51.78 %) underwent complete surgery including hysterectomy, bilateral salpingo oopherectomy and omentectomy. 14.3% of patients had microinvasive disease and 14.3 % had micro papillary disease on histopathology. 9 patients (16.1 %) had peritoneal implants of which 1 was invasive and 8 were non-invasive. Recurrence rate in the entire study group was 30.4%, 14.28% among patients undergoing complete surgery, 28.57% among patients undergoing adnexectomy and 69.2% among patients undergoing cystectomy.Conclusions: Univariate analysis showed a significant association between micropapillary histology, peritoneal implants and recurrence. On multivariate analysis, only peritoneal implants were found to be independently associated with recurrence

An Advanced Gait Monitoring System Based on Air Pressure Sensor Embedded in a Shoe

AbstractHuman gaits are complicated, and the gait phases cannot be exactly distinguished by comparing sensor outputs to a threshold. Measurement of GCF provides information to detect human gait phases. In gaits of certain patients, the GCF patterns are sometimes vague. A higher level algorithm that monitors the degree of abnormalities in the gait phases detected by the fuzzy logic is proposed. When it is measured by force sensors in shoes, it may be more smoothened due to the flesh as well as the cushioning materials in the sole of the shoe. For this purpose, fuzzy logic is suitable. In this project, air bladders are used for measuring GCF. The proposed methods are implemented by using signals from sensor-embedded shoes called smart shoes. Each smart shoe has four GCF sensors installed between the cushion pad and the sole. The GCF sensor applies an air pressure sensor connected to an air bladder

RADIOPROTECTIVE ACTIVITY OF FICUS RACEMOSA ETHANOL EXTRACT AGAINST ELECTRON BEAM INDUCED DNA DAMAGE IN VITRO, IN VIVO AND IN SILICO

Objective: To investigate the radioprotective effect of Ficus racemosa (Fr) ethanol stem bark extract against electron beam radiation (EBR) induced DNA damage using in vitro, in vivo and in silico models.Methods: The extract of Fr was tested against radiation induced DNA damage by exposing pBR322 plasmid to different EBR dose rates. Comet assay was conducted using mice which were exposed at 6Gy EBR. In silico study was performed by inhibiting p53 protein C-chain (1TUP C) using phyto chemicals of Fr.Results: The in vitro results revealed that, Fr at lower concentration (50µg) showed inhibitory effect on radiation induced DNA damage compared with control. Exposure of mice to 6Gy EBR increased comet parameters like TL (Tail length), OTM (Olive tail moment) and %T (percentage of DNA in the tail) of blood lymphocytes. Fr ethanol extract given orally prior to irradiation at a dose of 400 mg/kg body weight protected the DNA from the radiation damage. The phytochemicals of Fr showed clear interaction with p53 protein chain C, specifically binding to Arginine 248 (ARG248) and Arginine 273 (ARG273) amino acid residues thereby inhibiting the p53 protein-DNA interaction upon radiation.Conclusion: The present study indicates that Fr ethanol extract significantly reduced radiation induced DNA damage in vivo and in vitro. It also showed that the biologically active compounds of Fr have ability to inhibit wild p53 protein which is responsible for apoptosis; these compounds can be used as radioprotectors during chemotherapy to protect normal tissues surrounding cancerous tissue.Â

Probiotics-A Legacy of Good Health

Probiotics-means live microorganisms, which when administered in adequate amounts, confer a health benefit on the host. Probiotics can be bacteria, moulds, yeast. But most Probiotics are bacteria mainly lactic acid bacteria. The Probiotics have a three step action mechanism i. Stimulates and modulates immune response ii. Normalize intestinal micro flora iii. And also have the metabolic effects like. Probiotics have been analyzed for treatment and prevention of various diseases and disorders of human body and the results obtained are very encouraging. Probiotics have turned out to be very promising in ensuring oral health and general well being

A Data Analytics Suite for Exploratory Predictive, and Visual Analysis of Type 2 Diabetes

Long-term management of chronic disorders such as Type 2 Diabetes (T2D) requires personalised care for patients due to variation in patient characteristics and their response to a specific line of treatment. The availability of large volumes of electronic records of T2D patient data provides opportunities for application of big data analysis to gain insights into the disease manifestation and its impact on patients. Data science in healthcare has the potential to identify hidden knowledge from the database, re-confirm existing knowledge, and aid in personalising treatment. In this paper, we present a suite of data analytics for T2D disease management that allows clinicians and researchers to identify associations between different patient biological markers and T2D related complications. The analytics suite consists of exploratory, predictive, and visual analytics with capabilities including multi-tier classification of T2D patient profiles that associate them to specific conditions, T2D related complication risk prediction, and prediction of patient response to a particular line of treatment. The analytics presented in this paper explore advanced data analysis techniques, which are potential tools for clinicians in decision-making that can contribute to better management of T2D

Risk of post-acute sequelae of SARS-CoV-2 infection associated with pre-coronavirus disease obstructive sleep apnea diagnoses: an electronic health record-based analysis from the RECOVER initiative

Obstructive sleep apnea (OSA) has been associated with more severe acute coronavirus disease-2019 (COVID-19) outcomes. We assessed OSA as a potential risk factor for Post-Acute Sequelae of SARS-CoV-2 (PASC).We assessed the impact of preexisting OSA on the risk for probable PASC in adults and children using electronic health record data from multiple research networks. Three research networks within the REsearching COVID to Enhance Recovery initiative (PCORnet Adult, PCORnet Pediatric, and the National COVID Cohort Collaborative [N3C]) employed a harmonized analytic approach to examine the risk of probable PASC in COVID-19-positive patients with and without a diagnosis of OSA prior to pandemic onset. Unadjusted odds ratios (ORs) were calculated as well as ORs adjusted for age group, sex, race/ethnicity, hospitalization status, obesity, and preexisting comorbidities.Across networks, the unadjusted OR for probable PASC associated with a preexisting OSA diagnosis in adults and children ranged from 1.41 to 3.93. Adjusted analyses found an attenuated association that remained significant among adults only. Multiple sensitivity analyses with expanded inclusion criteria and covariates yielded results consistent with the primary analysis.Adults with preexisting OSA were found to have significantly elevated odds of probable PASC. This finding was consistent across data sources, approaches for identifying COVID-19-positive patients, and definitions of PASC. Patients with OSA may be at elevated risk for PASC after SARS-CoV-2 infection and should be monitored for post-acute sequelae