Real Time Respiration Rate Measurement Using Temperature Sensor

Respiration rate is a vital indicator of an individual's health, and therefore it is monitored when performing clinical evaluations. There are many different approaches for respiration monitoring, but usually, they can be classed as contact or non-contact. Respiration Rate is one of the important signs that need regular monitoring among unhealthy individuals. There are a variety of medical devices developed to observe human health condition among them respiration rate monitor is one. The Respiration rate monitor is a device that measures the individual’s respiration rate non-invasively. The objective of the planned work is to design and develop an affordable Respiration rate monitor for clinical applications. The respiration rate of the patient is measured with the assistance of temperature sensor that measures even the slightest change in the temperature while an individual is inhaling or exhalation. And according to the reading obtained the alert message will be sent to the patient’s mobile phone via GSM module that is connected to the device

North Medford High School NASA High Altitude Balloon Project

We are one of 57 teams across the nation that participated in the NASA High Altitude Balloon Project. The overall goal of the project was to capture and live stream the Great American Eclipse from 80,000-100,000 feet. As one of the few high school teams it has given us an unique perspective. Not only did we launch the common NASA payload, our team designed, engineered, and constructed our own payload named Tornado. Our team\u27s additional goals included photographing the umbra, and learning how UVA, UVB, gamma radiation, and other atmospheric conditions are affected during a solar eclipse. We met all of our team goals, as well as the NASA goals. In addition, we also participated in a project conducted by Cornell University; this project involved attaching bacteria samples to our payload in order to test their survival in the upper atmosphere

Torsion of gravid horn of bicornuate uterus: a rare case report

Torsion uterus is a rare complication of the third trimester of pregnancy. Etiological factors associated are myoma, mullerian anomalies, ovarian cyst, sudden change of lie of fetus and trauma. We report a rare case of levorotation of the gravid horn of bicornuate uterus leading to severe abruption and intrauterine death of the fetus. The case was managed by an emergency laparotomy with excision of the atonic gravid horn of bicornuate uterus. This is the third such case reported in the English literature as per our knowledge

46XX pure gonadal dysgenesis with dysgerminoma along with leydig cells: a unique presentation

Authors report a unique case of 46XX gonadal dysgenesis, with dysgerminoma in one ovary and other streak ovary with hilar nests of leydig cells. It is exceptionally rare to find dysgerminoma in a dysgenetic gonad with no Y chromosome and so is the presence of leydig cells in the contralateral streak ovary in a patient with 46XX pure gonadal dysgenesis

Use of ivabradine in supraventricular tachycardia caused by refractory focal atrial tachycardia in neonates to avoid radiofrequency ablation

Supraventricular tachycardia (SVT) is a clinical condition caused by many arrhythmias and from different etiologies. Any arrhythmogenic focus above the ventricles due to reentrant or isolated ectopic focus can cause SVT. Neonates usually tolerate tachy- and bradyarrhythmias better than any other age groups. In SVT, the signs of cardiac failure appear after at least 36–48 hrs. We are here presenting a case report of SVT caused by unifocal atrial ectopic focus and treated by ivabradine as it was not responding to usual antiarrhythmic drugs. Literature showing the usage of ivabradine in SVT in pediatric age group is scarce; therefore, we are reporting this case

Assisting Blind Using Facial Recognition and Voice Assistance

The paper aims at developing a system that would be able to recognize the face and hence play the recorded voice of the recognized face (e.g. Playing name of the person recognized ) using speaker/headset and voice module. The paper shows the usage of an electronic gadget in which a software is programmed, the usage of such kinds of product have increased many folds in the past decade because of the advancement in electronic technology as well as in the field of software development. We have used PCA technology with implementation of eigenfacesto recognize faces of different individuals. MATLAB was predominantly used to apply this algorithm. A voice module connected to Arduino uno plays the recorded voice of the identified individual. This could be of further importance for users who are blind, so that they are informed of the person at their door

Judicial Accountability: The Eternal Dilemma

The deliberation on the lack of transparency and the vociferous demand for a mechanism to ensure accountability in public life has gathered momentum in the recent past. Judicial independence and accountability are the prerequisites for a transparent judiciary enjoying public confidence, which is the hallmark of a healthy democracy. This article seeks to examine the relationship between accountability and independence of the judiciary in view of the need and urgency of transparency, due to various controversies surrounding the Judiciary. The apparent dichotomy between the two is also elaborated. It is premised that judicial independence has an inextricable relationship with judicial accountability. The dichotomy between the two is rather superimposed and the need of the hour is to dispel this very myth. Viewing accountability to be at loggerheads with independence overlooks their subtle relationship. The former, if unbridled, leads to a crisis of legitimation of the law, posing a challenge for the judiciary to establish its independence. The element of accountability, thus, needs to be secured steadfastly and must be seen as a supplement of independence, and not a hindrance thereto

Using Individual Decision, Economic, and Health Status Data to Predict Health Checkup Behavior

Annually, the Behavioral Risk Factor Surveillance System (BRFSS) survey is administered by the Centers for Disease Control and Prevention (CDC). This article uses 2016 SMART BRFSS data to predict the likelihood a person will get a health checkup and it identifies which factor(s) influence the decision to obtain a checkup. Patterns of individual decision making were analyzed using various supervised data mining techniques. The best predictive model, with a predictive accuracy of 80%, can improve future BRFSS surveys by better understanding the responses and provide insight into the factors affecting decisions. The model was scored on new data to verify its accuracy. These findings supplement ongoing research to identify how behavior leads to better decision making related to medical checkups. The model can help identify poor decision-makers in high-risk groups. This research can also be used by healthcare professionals to improve clinical prevention services. Potentially, the research can be extended by combining the BRFSS data with ICD-10 and CPT codes. Better knowledge of diagnosis (ICD-10) and the cost associated with diagnosis (CPT) will help to understand a person’s health behavior. In the United States, expenditures on healthcare are rising significantly every year. Health decisions of individuals determine the overall health of a nation. Therefore, the U.S. Government should initiate health programs that encourage individuals to make better health decisions