Universiti Teknologi Malaysia Institutional Repository

Mobile IoT cloud-based health monitoring dashboard application for the elderly

Abdul Kadir, Ahmad Dziaul Islam and Mohd. Alias, Mohamad Razin Naim and Mohd. Dzaki, Dzahir Rashidi and Azizan, Azizul and Md. Din, Norashidah (2022) Mobile IoT cloud-based health monitoring dashboard application for the elderly. In: 4th International Conference on Smart Sensors and Application, ICSSA 2022, 26 July 2022 - 28 July 2022, Kuala Lumpur, Malaysia.

Full text not available from this repository.

Official URL: http://dx.doi.org/10.1109/ICSSA54161.2022.9870913


Over the years the population are increasing and currently, there are about 8 billion people residing globally. In time, the number of elderly people will increase due to a higher life expectancy over the years. In 1950, the average life cycle is at 46 years and in 2019 the projection expands to 72.6 years. The main reason for this increase is due to better global health services and quality of life. Mobile health technologies are being implemented in most areas related to the healthcare industry to aid elderly patients by monitoring and collecting data related to the diseases and their critical level. This paper described the design and development of an IoT health monitoring system for the elderly. This IoT system consists of two sensing modules, PI and P3. PI measures the body temperature, heart rate, and oxygen saturation (SpO2), while P3 is an accelerometer sensor that detects a fall. Data gathered from these sensors are dispatched wirelessly to the Raspberry Pi gateway and are later stored in a cloud database called InfluxDB. A mobile application is built using the Flutter framework for mobile data visualization purposes. Users can view four screens in the application, including the dashboard for data sensors PI and P3, the profile page, and the notification page. The dashboard displays the elderly data embedded using Grafana. If the patient falls, an alert (OneSignal) in the notification will be sent postfall instantaneously.

Item Type:Conference or Workshop Item (Paper)
Uncontrolled Keywords:cloud, dashboard, elderly health monitoring, mobile IoT
Subjects:Q Science > QA Mathematics > QA75 Electronic computers. Computer science
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:Razak School of Engineering and Advanced Technology
ID Code:98898
Deposited By: Yanti Mohd Shah
Deposited On:08 Feb 2023 17:22
Last Modified:08 Feb 2023 17:22

Repository Staff Only: item control page