ABSTRACT
The coronavirus or Covid 19 is a highly infectious disease which took a huge toll of human lives between the years 2019 and 2021. The global spread of the virus has overwhelmed health systems, and caused widespread social and economic disruption. Strategies in the control of an outbreak are screening, containment and mitigation. The process of collecting and recording vital signs can be a time- consuming process without the right tools. The main motive of the invention disclosed here is the integrated portable healthcare solution that will help in quickly carrying out Covid screening vital test measurements such as temperature, pulse and blood pressure which will not only be used during epidemic/pandemic but also during other emergencies/patient triages and also to keep a track of all affected Covid patient's screening results by the healthcare professionals. Monitoring of vital signs is necessary for the efficient and effective patient management. Vital signs are regularly measured at specific intervals in patients in the Emergency department or remotely. This project mainly focuses on the integration of three sensors (i.e.) MAX30100 sensor, MLX sensor and digital BP sensor and producing the values in the same kit. This smart device is used to monitor the person's temperature, blood pressure, SpO2, heart rate and by comparing all the four threshold values, the final result is displayed as normal or abnormal values simultaneously in the mobile app and the LCD display. The system can be used remotely as well in the healthcare setting where patients are in the waiting queue. Based on the results, intimation messages are sent to the concerned patient or healthcare professional who's mobile is linked with the device and in abnormal conditions, the alert message is sent to quarantine themselves from the general public. This continuous monitoring helps in the initial screening for Covid-19 at the early stage, where the results can be checked and timely advices can be given by the family members, doctors and the medical professionals. © 2022 IEEE.
ABSTRACT
The use of healthcare apps, e-health or m-health, has grown exponentially during the pandemic time. These apps can be used by people at home, work or on-the-go, which can help with a range of health, wellness and wellbeing tasks seamlessly, integrated with Electronic Health Records (EHRs) of hospital(s) to capture patient information. The data can be accessed by clinicians, patients and attenders anytime and anywhere. One of the major advantages of the healthcare apps has been the reduction of time taken to visit a doctor/clinic/hospital (especially considering the waiting times), medical bills and expenses. To a greater extent, there are many healthcare apps that have improved the accuracy of diagnosis and significantly improved quality of treatment. However, in this paper we have identified 10 challenges and 10 opportunities that can help researchers, developers, policymakers and other stakeholders introspect while building and releasing robust healthcare apps that are very much needed in the post-covid era. © 2022 IEEE.
ABSTRACT
Corona pandemic has affected the daily routine of life disturbing the trade and economic globally. Wearing a mask has become compulsory and a new tradition. within the close to future, several suppliers can raise the shoppers to wear masks properly. Therefore, detection of face mask has become one of the important tasks to assist the international society. This paper provides a easy and simplified approach to detect the face masks using some of the important Machine Learning packages like TensorFlow, Keras, OpenCV and Scikit-Learn. The projected methodology detects the face from the image properly and so identifies if it's a mask thereon or not. As a police work task performing artist, it may detect a face together with a mask in motion. the tactic gives an accurate output with an accuracy of 96.77% on dataset. The model tendency to find the optimized values of parameters are employed using Convolutional Neural Network (CNN) model to identify whether the masks are worn properly or not while not inflicting over-fitting. © 2021 IEEE.
ABSTRACT
The coronavirus disease (COVID-19) pandemic has made a dire requirement for traditional and disruptive technologies to react to the flare-up across health and wellbeing areas, and technologies such as AI and robotics have been recognized as promising ways to tackle the current challenges. The COVID-19 pandemic has exhibited the solid capability of different advanced technologies that have been tried during the emergency. However, acceptability and adoptability of the latest technologies may face serious challenges due to potential conflicts with users' cultural, moral, and religious backgrounds. This paper discusses the current opportunities and challenges with respect to artificial intelligence (AI) powered robots to battle COVID-19. To diminish the danger of contamination and infection, the opportunities must be utilized during this pandemic for a better future. More deliberate measures ought to be executed to guarantee that future robotic health initiatives will have a greater impact on the pandemic and meet the most key needs to facilitate the life of individuals who are at the forefront of the crisis. © 2021 IEEE.
ABSTRACT
The novel Corona Virus (COVID-19) is a pandemic of unimaginable proportion and magnitude that is posing a great challenge worldwide to the medical industry in the 21st century. It has completely changed the texture of life to a greater extent. The increasing number of victims succumbing to the disease has created an indelible fear in the minds of the people who are afraid to access even the basic healthcare facilities. This paper deals with the Automatic Health Machine (AHM) which uses IoT and Artificial Intelligence technologies to help users access medical facilities during a pandemic and medical emergency mostly in rural and urban areas. The AHM provides complete virtual health checkup, connects with the doctor or specialist online and books appointments for the swab test or ambulance in case of emergency based on the patient's condition, dispenses the swab test or emergency medicines and electronic prescription to patients for later reference. The services of the AHM are accessible to all individuals using 'Smart Health Card'. According to the Sustainable Development Goals (SDG3) proposed by the United Nations, the AHM ensures the wellbeing of all ages in society and increases the survival rate during unprecedented times like a pandemic/epidemic. We collaborated with industries and hospitals to understand healthcare/patients' requirements considering pandemic and post-pandemic. We conducted virtual workshops with the COVID-recovered patients and frontline nurses and doctors. As an overall outcome, the healthcare professionals feel the system can be adopted in an area where medical facility is not available immediately. Thus, our work has led to a patent being published in India and USA. © 2021 IEEE.
ABSTRACT
Telecommunication is the transmission of information over electromagnetic systems using technologies such as radio, wire, etc. Mobile phones are the most popular form of telecommunication. As a result, the usage of smartphones has drastically increased each year. And even during this current pandemic COVID-19, the usage of smartphones and internet has tremendously increased. Some significant applications include banking applications, education sectors (online classes), virtual meetings, e-commerce, travel, recreation etc. As the usage increases, there arises a frequent charge and discharge cycle. Enormous amount of energy is generated every day while carrying our daily activities by means of which, a significant amount of pressure is developed. Using this energy, an efficient model is proposed which uses piezoelectric and thermoelectric sensors to generate energy to suffice the daily needs of a common man. As aligning with the SDG goal number 7 - affordable and clean energy, the proposed idea is a step towards attaining a sustainable future. © 2020 IEEE.
ABSTRACT
This paper deals with the modalities of the Smart Automated Health Machine (AHM) using Internet of Things (IoT), a user-friendly health machine with an interactive graphical user interface for medical necessities. It is a virtual health check-up/self-screening/test system, aimed at being the first point of contact for patient screening, to monitor heart rate, blood pressure, ECG, oxygen saturation, and visual acuity of patients. In case of emergency, a doctor will be available online through a video call, based on the severity of patients' conditions, a call can be placed by a doctor to book an ambulance van or ambulance bike (based on the conditions). If a patient is unconscious, a direct call can be placed by any bystander or patient's carer to book an ambulance. In non-emergency cases, medical appointments can be booked - the system will also dispense medicines based on the health conditions and/or doctor's electronic prescription which can be selected among the list of available medicines. Each individual will be provided with a "smart health card", which will keep a record of patients' personal details, health conditions, prescriptions, and amount of tablets consumed. The AHM will provide all the necessary information, keep a record of different medical problems in different regions and different necessities required to be adopted. The system can also be called as "Self Healthcare Service (SHS)"or "Self Healthcare Units (SHU)"-the initiatives are part of sustainable development goals (SDG-3) proposed by United Nations.We conducted a pilot evaluation with the patients, nurses and doctors. As an overall outcome, the practitioners feel the system can be adopted in an area where medical facility is not available immediately. Adopting this system in such regions not only help in medical emergencies/epidemic/pandemic such as COVID, it also increases the percentage of survival. The system can also be adopted in hospitals, pharmacies, schools, public places like bus/train stations, airports, markets or any commercial areas, zones prone to accidents in rural and urban areas and other places that can be quite useful and helpful to the public. © 2020 IEEE.