scholarly journals AI-based smart and intelligent wheelchair

2020 ◽  
Vol 18 (6) ◽  
pp. 362-367
Author(s):  
K. Rahimunnisa ◽  
Atchaiya M. ◽  
Brindhhiniy Arunachalam ◽  
V. Divyaa
Keyword(s):  
Digital Health ◽  
Processing Unit ◽  
Wheeled Mobile Robots ◽  
Health Monitoring System ◽  
Aged People ◽  
Intelligent Wheelchair ◽  
Smart Wheelchairs ◽  
Gesture Control ◽  
Learning Analysis ◽  
Manual Mode

The differently abled and/or old-aged people require assistance for their movement. Generally, such assistant providing tool is wheelchair. Normal wheelchairs are manually operated and heavy to move adding burden to the suffered. Hence, automated wheelchairs that are equipped with sensors and a data processing unit constitute a special class of wheeled mobile robots, termed as “smart wheelchairs” in general. In the existing system, the wheelchair movement that is controlled by joystick uses buttons to start and stop the wheel. This is difficult for the differently abled to press the required button with precision. Although there are smart wheelchairs with gesture control, it lacks accuracy in the calculation of the location. The proposed system uses artificial intelligence for its working and proves to be a unique combination of wheelchair and health monitoring system. The wheelchair can be accessed both in manual and automatic modes. In the manual mode, the wheel is controlled using joystick whereas in the automated mode, MPU6050 sensor and accelerometer is used to control the direction by gesture. SPO2 sensor attached to the wheelchair is used to collect the health parameters. Thus, enabling the self-dependency of the person. Further, deep learning analysis of the data from the sensors and the wheelchair usage pattern is compared with the dataset to determine the stress level. The signal from the sensors is monitored and the vitals data is updated in the ThingSpeak website via Bluetooth module serving as a digital health chart.

Validation of a novel digital health monitoring system to measure the volume of voided urine

2019 ◽  
Vol 38 (4) ◽  
pp. 1106-1110 ◽  
Author(s):  
Minoru Miyazato ◽  
Koji Yonemoto ◽  
Asuka Ashikari ◽  
Seiichi Saito ◽  
Kiyoto Yamashiro ◽  
...  
Keyword(s):  
Monitoring System ◽  
Health Monitoring ◽  
Digital Health ◽  
Health Monitoring System

scholarly journals Cy Sician-Revolutionizing Patient Health Monitoring System with auto-diagnosis

2020 ◽  
Vol 9 (4) ◽  
pp. 1809-1813
Keyword(s):  
Monitoring System ◽  
Health Monitoring ◽  
Well Being ◽  
Raspberry Pi ◽  
Processing Unit ◽  
Patient Handling ◽  
Health Monitoring System ◽  
Sensor Module ◽  
Patient Health ◽  
Patient Will

Cardiovascular diseases (CVD) has emerged as one of the major causes for death in all over the world. This paper displays a framework to remotely screen, health of Cardiovascular disease affected patients utilizing Machine to Machine (M2M) innovation which is a part of the project called CySician . Real time patient health monitoring system is advantageous to the patients and society as it will significantly reduce medical charges, waiting time for patient and improve patient handling capability of any hospital. In this patient health monitoring system pulse rate, ECG, body temperature, Body Mass Index(BMI) and general clinical interrogation is finished by a chatbot named “LifeBot”. The primary components associated with this project are pulse sensor, Raspberry Pi 3B+ (processing unit), temperature sensor module sensor, utilizing Machine Learning (ML) calculation it automatically analyzes the accumulated information to propose prescription to the patient. After the patient is diagnosed and the disease is detected, the patient will be notified with the kind of medication he needs. If the problem is nominal, the patient will be suggested with a basic treatment and will be monitored regularly. If the problem is of major scale, the patient will be directed to the payment gateway where he will be asked to pay a nominal fee for appointment from doctors to continue his check-up .Ultimately, the final well-being report is displayed to the doctor on the User interface that is visible on PC/Laptop.

scholarly journals Community Engagement in The Telehealth Service for Aged People with Diabetes: COVID-19 response in Bangladesh

2021 ◽  
Vol 16 (4) ◽  
pp. 89-95
Author(s):  
Mohammad Shamsal Islam ◽  
Bimal Chandra Das ◽  
Mohammad Musa Meah ◽  
Sanjoy Kumer Paul ◽  
Ashim Kumar Saha ◽  
...  
Keyword(s):  
Community Engagement ◽  
Peer Group ◽  
Digital Health ◽  
Healthcare Providers ◽  
Strong Relationship ◽  
Sources Of Information ◽  
Aged People ◽  
Telehealth Service ◽  
The Difference ◽  
And Gender

Purpose: The purpose of this study is to present a better understanding of the specialized telehealth service in Bangladesh from the service provider and service recipients by aged people Method: Both quantitative and qualitative methods were used to collect data from Diabetes Mellitus (DM) patients. Data were collected by online telephone interviewing with an interview schedule. A total of 100 aged people with diabetes were selected purposively for a quantitative interview and 10 In-depth Interviews (IDIs) & Key Informant Interviews (KIIs) were conducted. Result: The majority of patients aged was between 61 to 68 years with a mean age of 63.6 ± 7.01years. The difference of age of DM patients by sex was found statistically significant (x2 = 39.49, df = 31; Cramer’s V = .032; P=<.003). The main source of information about digital health was: relatives (55%), neighbors (31%), television (12%), newspaper (10%), social media (9%), and healthcare providers (6%). Strong relationship was found between age of respondents and sources of information (x2= 77.08; Cramer’s V= .032, df = 13; Sig; P= < .009). About 59% of DM patients were benefited from telehealth services during COVID-19, however; they encountered some difficulties like effective access to digital technology, cost, and diagnosis facilities. About 83% of respondents suggest formalizing community engagement programs to extend the digital health services during a health emergency. The common barriers to the engagement of community people in digital health care are lack of social awareness, lack of peer group support, and gender disparities. Poor counseling, language barrier, bad internet signal, and lack of family members' support were the key barriers during teleconsultation services. Conclusion: Telehealth has the potential to address critical health issues of aged people and effective community engagement may be the best option to reach older people with diabetes in Bangladesh during any health emergency.

scholarly journals IoT based Patient Health Care for COVID 19 Centre

2020 ◽  
Vol 9 (3) ◽  
pp. 258-263
Keyword(s):  
Data Collection ◽  
Internet Of Things ◽  
Patient Monitoring ◽  
Health Management ◽  
Digital Health ◽  
Smart Phone ◽  
Processing Unit ◽  
Patient Health ◽  
Regular Value ◽  
And Control

In this paper, COVID 19 centre monitoring and management system has been proposed and integration of different sensor network with Internet of Things (IoT). The sensors implemented can communicate with data collection and processing unit. The data collection done by that unit can directly transferred to cloud using internet connectivity at COVID 19 centre. Therefore work aimed to propose COVID 19 centre management with IoT based approach to handle medical services and patient monitoring and treatment work flow. In the experimented model, Node MCU ESP8266 controller and temperature sensor (DHT11) are integrated. A system has capability to monitor and control COVID 19 centre services and patient monitoring via remote connection. It is evaluated with three temperature sensors connected to measure temperature of patients. Mobile based blynk has been utilized for the cloud based IoT implementation. Sensor sends data over blynk server and then can be seen anywhere using smart phone application. In addition, when patient get fever more than regular value, an alert was sent to authority in a quick time. After results, it is indicated that the developed system has effective potential to work in pandemic situation and has technological feasibility. The benefits of implemented research methods are useful in digital health management in pandemic scenario. Even hospitals, COVID centers, intensive care unit (ICU) can be operated effectively and patient diagnosis application based on online database has wide scope in the area of internet of things and patient health management.

scholarly journals Home Automation Berbasis Gesture Control Menggunakan Motion Processing Unit

2021 ◽  
Vol 20 (2) ◽  
pp. 125-142
Author(s):  
Hartono Hartono ◽  
Kiki Prawiroredjo
Keyword(s):  
Motion Processing ◽  
Automation System ◽  
Processing Unit ◽  
Home Automation ◽  
Gesture Control ◽  
Home Automation System

Home automation dengan pengenalan isyarat gerakan tangan dapat memberi kemudahan kepada pemilik rumah untuk mengontrol peralatan elektronik rumahnya terutama kepada para penyandang disabilitas yang memiliki keterbatasan untuk berjalan. Pada penelitian sebelumnya, perangkat pembaca isyarat berupa sarung tangan yang dilengkapi sensor akselerometer dan giroskop. Perangkat tersebut kurang fleksibel saat digunakan untuk melakukan aktivitas lain secara bersamaan sehingga dibutuhkan perangkat yang lebih wearable. Penelitian ini mengembangkan home automation system dengan pengenalan isyarat gerakan tangan menggunakan Motion Processing Unit (MPU). Perangkat dibuat dalam bentuk jam tangan digital sehingga lebih praktis saat digunakan. Sensor MPU akan mendeteksi isyarat gerakan tangan dimana setiap isyarat gerakan diproses oleh Arduino Nano dan didefinisikan sebagai suatu perintah yang akan dikirim ke perangkat penerima melalui modul radio frekuensi. Setelah diuji perangkat yang dibuat dapat mengontrol peralatan elektronik rumah dengan isyarat gerakan tangan sesuai spesifikasi yang diinginkan dengan nilai error sebesar 2,5%. Sedangkan jarak maksimum perangkat pemancar yang masih dapat direspon oleh penerima adalah 10 m tanpa penghalang.

scholarly journals IoT Based Smart Wheelchair for HealthCare

2019 ◽  
Vol 8 (2) ◽  
pp. 533-539
Keyword(s):  
Monitoring System ◽  
Health Monitoring ◽  
Healthcare Systems ◽  
Health Monitoring System ◽  
Smart Healthcare ◽  
Smart Wheelchairs ◽  
Wearable Systems ◽  
E Mail ◽  
Smart Wheelchair ◽  
Remote Health

People suffering from certain permanent disabilities due to accidents, paralysis or old age often depend on others for help with respect to movement. Providing an access to the remote health services using a health monitoring system enhances their independence, since their health is regularly recorded and monitored by the doctor without any efforts. By accessing the services online, they can directly communicate with their doctors only in case of an emergency. Since disabled patients cannot afford to travel, smart healthcare systems help them gain access to healthcare systems. A possible solution to monitor their health status is by developing a health monitoring system based on a smart wheelchair since it is adequate for a wider range of audiences and it does not require a lot of maintenance unlike the wearable systems. Smart wheelchairs not only focus on the mobility of the device but also on health monitoring of the patient. The objective of the present work is to develop a smart sensing wheelchair by implementing sensors within its structures. The technology adopted is Internet of Things wherein the heart rate and blood oxygen levels are detected by sensors, processed by embedded systems and sent to the cloud that initiates a trigger in case of any abnormality. The trigger produced can be in the form of an SMS or an e-mail

scholarly journals Non-use of Digital Health Consultations Among Swedish Elderly Living in the Countryside

2021 ◽  
Vol 9 ◽  
Author(s):  
Sara Landgren ◽  
Åsa Cajander
Keyword(s):  
Primary Care ◽  
Digital Health ◽  
Public Funding ◽  
The Elderly ◽  
Perceived Usefulness ◽  
Structured Interviews ◽  
Aged People ◽  
Challenges And Opportunities ◽  
Personal Connections ◽  
Digital Exclusion

Digital health consultations in primary care have the advantage of offering equal healthcare for people residing in the countryside. While it is gaining acceptance among young- and middle-aged people, the elderly are reluctant to use it. The aim of this study was hence to identify reasons for non-use among elderly in the countryside and describe perceived possible challenges and opportunities with digital health consultations. Semi-structured interviews were conducted with 13 persons over 65 years old residing in the Swedish countryside. There was a mistrust for services offered by private companies and their public funding, a lack of knowledge of available services, and a lack of perceived usefulness. Personal interaction and continuity was more important than time or travel conveniences, although these advantages were recognized. To prevent digital exclusion, caregivers need to offer information, encouragement, or tools for the elderly. Digital primary care also needs to offer familiarity, with continuity and personal connections.

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