Automatic detection of COVID-19 in chest radiographs using serially concatenated deep and handcrafted features.

Since the infectious disease occurrence rate in the human community is gradually rising due to varied reasons, appropriate diagnosis and treatments are essential to control its spread. The recently discovered COVID-19 is one of the contagious diseases, which infected numerous people globally. This contagious disease is arrested by several diagnoses and handling actions. Medical image-supported diagnosis of COVID-19 infection is an approved clinical practice. This research aims to develop a new Deep Learning Method (DLM) to detect the COVID-19 infection using the chest X-ray. The proposed work implemented two methods namely, detection of COVID-19 infection using (i) a Firefly Algorithm (FA) optimized deep-features and (ii) the combined deep and machine features optimized with FA. In this work, a 5-fold cross-validation method is engaged to train and test detection methods. The performance of this system is analyzed individually resulting in the confirmation that the deep feature-based technique helps to achieve a detection accuracy of > 92% with SVM-RBF classifier and combining deep and machine features achieves > 96% accuracy with Fine KNN classifier. In the future, this technique may have potential to play a vital role in testing and validating the X-ray images collected from patients suffering from the infection diseases.

Anxiety controlling wrist band

Since the 1950s, suicide rate has been tripled among people aged between 15 and 24. Also, suicide is reported as the second most common cause of their deaths. Depression and anxiety are one of the major reasons for planting the thought of suicide in students' mind. People with anxiety disorders and stressful mind have excessive worry and fear about everyday situations. This intense worry and fear, though appears harmless, can reach its peak within minutes causing panic attacks. The main objective of our project is calming down the mind of people who are emotionally unstable and preventing the occurrence of any medical complications due to anxiety. Our innovation focuses on measuring the heart rate and controlling perturbation, anxiety, stress by applying acupressure at the H7 (Heart 7) point on the wrist crease. © 2021 The authors and IOS Press.