ABSTRACT
This paper presents a systematic review of android app respiratory system on smartphone. For some diseases, doctors have succeeded in inventing the necessary treatments that lasts for a short period, but in several cases, the treatment can stay for a lifetime. The goal of this system is to detect if a patient has any respiratory disease(s) by specifying the symptoms the patient encounters, schedules an appointement in the hospital for patient through the system to the linked specialist doctors to avoid contact in the case of Covid-19 patient. This research will help raise patient's awareness of the high risk of late discovery of having respiratory diseases (like Lung Cancer. corona virus etc), and also to develop a model that will help detect this disease early through mobile application. The focus of this review is to encourage medical institutions to adopt the health android app that can help patients in self-managing behavioral activities such as physical activities, using symptoms to determine the stage(early or critical) of the disease and drug suggestions with research evaluation using the app, this could help patients monitor and manage their health conditions. © 2022 IEEE.
ABSTRACT
The coronavirus disease 2019 (Covid-19) has devastated the entire globe in a short period of time and was declared a global pandemic by the World Health Organization (WHO) on March 11th, 2020. It rapidly increased in fatality rate and has become an international public health crisis, culminating in social and economic calamity. However, mobile applications are being introduced globally to minimize the coronavirus's continuous spread by tracing people's circulation or mobility using digital software and smartphones. There is no digitally equipped tool that monitors the movement of the people, particularly in the public places. This work on Smarter Movement Control Application (SMCApp) aims to develop methods that will assist Malaysian people to move around with the aid of mobile tracing application. Therefore, the SMCApp was designed and developed as a mobile application software which stands to improve compliance with the mandated SOP measures across the country, as well as to provide digital support to those who wish to travel to various parts of the country. As a result, it is concluded that the usage of Smarter Movement Control Application (SMCApp) is hoped to bring about safe and effective movement of people throughout these two regions, as it will constantly alert individuals of any suspicious close-contact or the state of the location. Once the application is in effect, with at least 90% of users installing the App on their smartphones, it is projected to increase tranquility and elevate compliance with SOP measures. © 2022 IEEE.
ABSTRACT
The outbreak of Coronavirus Disease as a pandemic has resulted in a huge saddle on health infrastructure. Preventive measures such as quarantine, social distancing, isolation, and community containment play a pivotal role to contain the spread of exponentially growing COVID cases. This huge burden permitted authorities for institutional/home quarantine for the suspected persons. The biggest challenge for institutional/home quarantine is to monitor and track the movement of quarantined persons. These suspected cases pose a serious threat in outbreak and transmission of the disease. In this paper, an intelligent-Quarantine Monitoring System (iQMS) has been presented which comprises of a wearable IoT-based wristband, bundled with an android mobile app to track and report the absconding quarantined subjects in near real-time. The iQMS incorporates a cloud-based solution with IoT sensors using a global positioning system (GPS) based tracker for geo-fencing breach. The proposed system will facilitate the authorities in remote monitoring and tracking of identified subjects.
ABSTRACT
Lateral flow assays (LFA’s) are a common diagnostic test form, particularly in low-to-middle income countries (LMIC’s). Visual interpretation of LFA’s can be subjective and inconsistent, especially with faint positive results, and commercial readers are expensive and challenging to implement in LMIC’s. We report a phone-agnostic Android app to acquire images and interpret results of a variety of LFA’s with no additional hardware. Starting from the open-source “rdt-scan” codebase, we integrated new features and revamped the peak detection method. This included improved perspective corrections, phone level check to eliminate shadows, high resolution still-image capture besides existing video frame capture, and new peak detection method. This peak detection incorporated smoothing and baseline removal from the one-dimensional profiles of a given color channel’s intensity averaged across the read window’s width, with location and relative size constraints to correctly report locations and peak heights of control and test lines. The app was tested in a real-world setting in conjunction with an open-access LFA for SARS-CoV-2 antigen developed by GH Labs. The app acquired 155 images of LFA cassettes, and results were compared against both visual interpretation by trained clinical staff and PCR results from the same patients. With an appropriate setting for test line intensity threshold, the app matched visual read for all cases but one missed visual positive. From ROC analyses against PCR, the app outperformed visual read by 1-3% across sensitivity, specificity, and AUC. The app thus demonstrated promise for accurate, consistent interpretation of LFA’s while generating digital records that could also be useful for health surveillance. © 2022 SPIE
ABSTRACT
The need for telehealth accelerated by the COVID-19 pandemic has changed the way doctors interact with patients. Recently, Internet-connected stethoscopes have been developed;however, they have not been adopted as far as many companies have hoped. The high cost of branded, high-quality stethoscopes may serve as a barrier to the adaptation, especially in low-and middle-income countries. With the above in mind, a 3D-printed stethoscope that preserves a long air column but still maintains a small form factor has been developed. Inserting a microphone into the stethoscope enables us to connect the stethoscope to our smartphone, turning it into a digital device. To take advantage of smartphone capabilities, we have also developed an Android app that enables us to record, share, and listen to heart sounds in real-time via Bluetooth headphones. Our experimental results show that the stethoscope made of thermoplastic polyurethane exhibits harmonic resonances comparable to commercially available selected acoustic stethoscopes. © 2022 IEEE.
ABSTRACT
The Covid-19 Tracker App is a mobile application development worn to trace the Covid-19 exposition all over the countries. This program is mainly built to establish the current situation of Covid19 during this pandemic. Covid-19 Tracker App is an Android based application. As everyone are aware the world is facing one of the unconditional outbreaks. The outburst of Covid-19 during this time period is to design and develop Covid-19 Tracker Android App using REST API which will track the Global Stats and gives the probability of total number of active cases, recovered cases and death rates in all countries around the world. The app helps to overcome the overall accuracy and providing the probability of covid cases in India states, districts and cities cases are derived with the help of APIs (Application Program Interface) data provided from the various 3rd party websites. The execution of app takes place in the emulator window which supports Android mobile application devices to run through Android environment. The app is designed only to track the cases that are presently running in India. By this, application plays a major role in providing result. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
ABSTRACT
The Covid-19 pandemic is a global health crisis that has brought an impact on everyone. A negative impact has made local farmers struggle to find their means of income other than selling their crops to their customers. The customers have had difficulties searching for good quality fresh produce other than from the supermarket. The purpose of this paper is twofold: firstly, to assess the manual and existing system on how consumers acquire their fresh produce during the Covid-19 pandemic, to design and implement a delivery system for local farmers to vend their fresh produce through a mobile application;and secondly, to test and evaluate the usability and functionality of the online farmers' market application. The existing mobile applications have changed everyone's approach in acquiring the daily essentials that the pandemic has brought. Therefore, the idea of developing an online marketplace for local farmers resulted in the proposed application, which will be explained in this paper. Rapid Application Development (RAD) was used as the methodology for the development of the eMarket application. A survey was conducted via Google form for twenty local farmers and another twenty potential customers during the pre-development stage. It was to collect data on the users' opinions regarding the proposed application. We then conducted the usability testing through Google form to collect the users' feedback on the eMarket application. Ten local farmers from Matang's market have participated in the testing phase. Additionally, ten students from a local university participated as potential customers in the usability testing. As a result of these testings, we have developed a usable farmer's market application that has been well-received by local farmers and customers. © 2021 IEEE.
ABSTRACT
The Chinese Government quarantined Wuhan on 23 January 2020 and thereafter the Hubei province, affecting a total of 59 million citizens, to cease the spread of the coronavirus disease in 2019 (COVID-19). The effects of this lockdown on the psychological and mental health of both the affected and unaffected Chinese are largely unknown currently. We utilized one of the largest crowdsourced databases (Sleep as Android) that consisted of 15,681 sleep records from 563 users in China to estimate the change in the sleep pattern of Chinese users during the span of 30 December 2019 to 8 March 2020 with reference to 64,378 sleep records of 1,628 users for the same calendar period of years 2011-2019. The sleep pattern in China changed drastically after 23 January 2020 when the law of quarantine and suspension of Wuhan became effective. The two major findings are: (1) Chinese people increased their sleep duration by an average of 20 min and delayed their sleep onset by an average of 30 min at weekdays, while they maintained a similar sleep duration at weekends, and (2) larger changes were found in several subgroups, including those in Wuhan (80 sleep records from 3 users), female subjects, and those aged ≤ 24 years. Overall, Chinese people slept later and longer than usual during the COVID-19 pandemic quarantine.