IoT System for Sleep Quality Monitoring using Ballistocardiography Sensor

Abstract

Sleep is very important for people to preserve their physical and mental health. The development of the ballistocardiography (BCG) sensor enables the possibility of dayto-day and portable monitoring at home. The goal of this study is to develop an IoT sleep quality monitoring system using BCG sensors, microcontrollers and cloud servers. The BCG sensor produces ECG data from the physical activity of the patient. The data is sent to the sensor and is read by the microcontroller. The sensor data is collected and pre-processed in the microcontroller. The microcontroller then transmits the data obtained from the BCG sensor to the cloud server for further analysis, i.e. to assess the sleep quality. The assessment of data transmission efficiency and resource consumption is carried out in this paper. The findings of the evaluation show that the proposed method achieves higher efficiency, lower response time and decreases memory usage by up to 77% compared to the conventional method.

Heart Rate Monitoring with Smart Wearables using Edge Computing

“…Previously, Utomo et al (2020) developed an IoT system using an ECG sensor as input [10]. The system is developed further [11] for performance optimizations and the use of BCG sensor as input. The BCG sensor uses Murata's SCA11H sensor and all measurements taken is preprocessed first by the Data Concentrator, before being sent to the IoT system.…”

“…The continuation of the study by Utomo et al (2020) [11] proposes an optimization of the platform, along with the use of real-time BCG sensor. The proposed method uses heart rate variability and beat-to-beat data from the BCG sensor.…”

“…After processing, the data can be sent to the server to be directly used, or further processing. Utomo et al has developed the system that can monitor sleep quality [11] using real time HR data measured from BCG sensors. This research implements a simpler system with some modifications to allow real-time HR monitoring.…”

“… Data normalization: The current implementation of IoT system [11] requires B2B and HRV data and concatenates every 3 seconds of data for optimization requirements.…”

“…The data is uploaded through a REST interface with the following specification: Users data can be monitored in real-time with a data delay of around 20 minutes because of Fitbit API system implementation. This study uses a similar IoT system that has been developed [11] with the following hardware and software used:…”