Smart Healthcare for Disease Diagnosis and Prevention

Sudip Paul, Dinesh Bhatia

• Publisher: Academic Press
• Year: 2020
• ISBN:
  9780128179147
• Topic: Technology & Engineering
• Subtopic: Engineering General
• Index: Technology & Engineering

Smart Healthcare for Disease Diagnosis and Prevention focuses on the advancement in healthcare technology to improve human health at all levels using smart technologies. It covers all necessary topics from basic concepts (such as signal and image processing) to advanced knowledge on topics such as tissue engineering, virtual and intelligent instrumentation (or VLSI) and Embedded Systems. This book can be used to guide students and young researchers, providing basic knowledge on signal/image processing and smart technologies. Users will find a perfect blend of the interdisciplinary approach to biomedical engineering.

The book considers many technical concepts, emerging technologies, real-world healthcare applications, and many other technical, multidisciplinary notions in the same content. Finally, it systemically introduces the technologies and devices for healthcare objects and targets disease diagnosis and prevention in different views.

• Discusses how new advanced technologies are used in real healthcare applications to improve patient safety
• Explores how medical data such as signals and images can be used in diagnosis
• Covers how wireless communications devices, such as sensor networks, RFID, wireless body area network, and wearable sensors are used in the medical environment

Chapter 1

A very short story for a new future

Lucas Gabriel Souza Nasta, Lucas Paglioni Pataro Faria and Thiago Ferreira Mares, Centro Universitário Newton Paiva, Belo Horizonte, Minas Gerais, Brazil

Abstract

Blood donation is a very useful and important way to save lives, the main goal of the work is to develop a blood donation application that aims to facilitate the process of capturing data from blood donors, generate donor and recipient database in order to expedite donation, in addition to newsletters on details of blood donation and how it should proceed, in general the creation of the application focuses on increasing the flow of donors and recipients to help save a greater number of lives being able to attend all the people who need the service.

Keywords

Blood donation; health; application

1.1 Introduction

With “Poklon”, is going to be created an app that interested to create a blood donators and receivers’ network, where the people who interested in donate or who needs to receive blood, can sign in and obtain information which every hospital, donation houses or any type of receptors sites Works and how they can donate and receive.

A big example for app with great success, it’s possible speak about the “99”, that is a app that you choose your start and end point, and a vehicle drives to the place that you want with the price that you will pay for it, or like “iFood”, that works in the same way with food and they deliver in wherever you want.

1.2 Methodology

To develop the app, was utilized the Microsoft Visual Studio 2017, how can be visualized in the figure below, using the API Xamarin. Forms, Json and other Google APIs, that was crucial to develop in multiples platforms (like Android and iOS). With Newtonsoft Json and SQLite APIs, was developed a small and full functional app, that can be used in the most simple smartphone with Android 4.4.4 Kit Kat (Fig. 1.1).

Figure 1.1 Developing in Visual Studio 2017.

The app is developed in C# Language, who could be used in various platforms and the design is developed in XAML, a property language of Xamarin, who is based in XML language.

For UI design in the initial phases of project development, was utilized a platform Figma, looking for make easy the development of the code, one time that figma don’t have full integration with Visual Studio. And for exhibition of the UI, was utilized a program named Zeplin, that can be used in smartphones or web browser, and make easy to translate to Visual Studio UI Language.

The UI design is based in tabbed pages, and to exhibition of data, was utilized a scroll view and list view in the Search Tab and a máster-detail to the Bio page. The Database uses these informations: Name, Blood type, Birthdate and linked with the these data, are located fotos, posts, donation requests, donations made, etc.

The first ever phase was dedicated to develop the basic structure of buttons, pages scroll into the menus, and without any necessity to be vinculated with database. For initial tests, does not used necessary great resources to all function of prototype, just a virtual machine with a AOSP (Android Open Source Project), based in Android 4.4.4 Kit Kat with minimal resources.

The second phase was the construction of UI Design, how can be visualized in Fig. 1.2, who was based in existing apps in Google Play Store, was developed in a program named Figma, and the icons was extracted from website www.flaticon.com, who are third-party and free to use. And for implemention in visual studio, was used the Zeplin. Poklon is developed in lightness colors, all designated with images who explain what have inside and a text intended to explain, using a clear and direct language, the information to the potential donators.

Figure 1.2 Initial app UI.

Inside of the timeline contain the referential image on the top, right below have their description and commentary box, and on the bottom have a textbox designated to publish commentaries.

In the third phase was focused to build a database, with SQLite extension, what common to be used to development of data tables in small program and local usage. The database that was used have two tables, one having basic data, like name, Blood Type, and a email, and linked to this table, another one having publishes, comments, donations requests and other deeper user data. When concluded this phase, was initiated the implanted the database to the directly to the prototype and to the UI latterly, also, was connected together to the database, the APIs from Google, like maps, search, from Facebook log in and twitter log in.

And the last phase, was the UI developing and internal tests in Android non-AOSP, verifying bugs, reporting crashes and internal errors on the OS, directed to different usages, bloatwares from a lot of manufacturer UI, modified UI from manufacturer UI (an example is the MIUI from Xiaomi), and a average use from every beta tester, and with their reports, make a very fast updates, to finish all problems and protect the user from code error and security fails on the time. Can be observed how the app is initializing working below (Fig. 1.3).

Figure 1.3 First results of app.

In the regular use, was reported various crashes for no reason, also a weak response from the app, the solution was use a simplified code in the crash pages, that was enough to app work well and fast response.

1.3 Results

The overall size of app is approximately 15 megabytes, that means a very light app, with a simplified code, but having a powerful and adaptative interface for every phone model, low RAM usage and a small level of usage from processors, in comparison with others apps in Google Play like Instagram, what means about the app is very powerful and every phone could run this app properly.

The app was developed based in Google Nexus 5, have as requirements:

• – Android 4.4.4 Kit Kat
• – 1 GB Ram
• – 1.1 GHz Processor
• – 40 MB free space

The app for while is available for Android, due by limits around Microsoft Visual Studio, iOS and xamarin.

1.4 Discuss and conclusion

With this Project we can see a great point to our lives and how we can change the world with simple actions like these, also our idea is make poor population know about good health practices and develop good ideas from different areas, different class positions etc. Also we want to make it as healthy network.

We face some troubles in the along in the development due by limits that exist in the programs and some knowledges that we don’t handle, like development of database, that we learn how to build in the transitions of the phases.

Further reading

1. C. Chede, IBMdeveloperWorks. Available in: <https://www.ibm.com/developerworks/community/blogs/ctaurion/entry/o_imenso_mercado_dos_aplicativos8?lang=pt_br>, 2013 (accessed 01.05.18).

2. Edutakash. Available in: <https://edutakashi.wordpress.com/2016/08/12/actionaid-lanca-app-de-celular-para-impulsionar-doacoes/> (accessed 22.04.18).

3. G1. Available in: <http://g1.globo.com/sao-paulo/not...

Table of contents

• Cover image
• Title page
• Table of Contents
• Copyright
• List of contributors
• Preface
• Acknowledgment
• Chapter 1. A very short story for a new future
• Chapter 2. Design and development of command prompt assist device for locked in syndrome patients
• Chapter 3. Stem cell factor induces mast cell degranulation and proliferation independent of CD81 receptor
• Chapter 4. Triply periodic minimal surface porous implants to reconstruct bone defects
• Chapter 5. Preparation and characterization of gold nanoparticles conjugated insulin
• Chapter 6. Application of machine learning for early diagnosis of Parkinson’s disease
• Chapter 7. Power spectrum analysis of heart rate variability during internally and externally operative attention
• Chapter 8. Investigation of heart rate variability with the help of Welch periodogram in Indian young adults based on body physique
• Chapter 9. An insight into Parkinson’s disease: researches and its complexities
• Chapter 10. Investigation into the occupational ride comfort due to exposure of whole body vibration
• Chapter 11. Fuzzy entropy based seizure detection algorithms for EEG data analysis
• Chapter 12. Low-cost ultrasonic-based shoe for visually impaired people
• Chapter 13. Design of array multiplier circuit using reversible logic approach with optimized performance parameters
• Chapter 14. Smart diagnosis of cardiac arrhythmias using optimal feature rank score algorithm for solar based energy storage ECG acquisition system
• Chapter 15. Therapeutic approach in cerebral palsy treatment and management: outcomes and benefits
• Chapter 16. Magnetic nanoparticles mediated cancer hyperthermia
• Chapter 17. Bone cancer detection using machine learning techniques
• Chapter 18. Introduction to physiology
• Chapter 19. Basic overview of human physiology
• Chapter 20. Smart healthcare with sensors and wireless body area networking
• Chapter 21. Muscular load compensation patterns in patients with knee osteo-arthritis
• Index