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1.
4th IEEE Middle East and North Africa COMMunications Conference, MENACOMM 2022 ; : 83-88, 2022.
Article in English | Scopus | ID: covidwho-2236034

ABSTRACT

During the Covid-19 pandemic situation, the economic and social disruption is devastating. People could not get out of their homes and lead their normal life. Schools across the country have switched to remote learning, which is also inevitable. Though there are some advantages in the online classes, the fact that many of the children suffered mental stress due to these classes could not be denied. Especially, when speaking about the autism people, they could not handle the stress like normal children. The caretaker is necessary to assist them all the time. Therefore, an assistance system is needed to monitor the stress level. In this research, prototype of deep learning and Internet of Things (IoT) based assistance system has been proposed. It monitors the stress parameters namely body temperature, pulse rate, skin conductivity and the facial emotion of the autism disorder people. Further, the hardware model (Raspberry Pi) has been developed to measure the stress level. The processed data from the model has been stored in the Thingspeak cloud platform for monitoring the autism people remotely. From the threshold stress parameters, the level of the stress can be predicted by the proposed stress management algorithm. © 2022 IEEE.

2.
Indian Journal of Practical Pediatrics ; 22(2):236-238, 2020.
Article in English | GIM | ID: covidwho-1717174

ABSTRACT

COVID-19, caused by novel coronavirus SARSCoV- 2, presents with varied clinical manifestations in pediatric age group. Gastrointestinal (GI) symptoms with/without respiratory manifestations are increasingly reported in children. This infant presented with features of intussusception and fever. Further evaluation showed RT PCR positivity for COVID-19 in the nasopharyngeal swab. Child did not develop any other respiratory manifestations or features of hyperinflammatory syndrome. It is extremely difficult to distinguish if this a manifestation of COVID-19 or an associated illness.

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