Self-monitoring Method for Improving Health-related Quality of Life: Data Acquisition, Monitoring, and Analysis of Vital Signs and Diet

Abstract

Vital signs are a series of clinical measurements and important to health-related quality of life. To establish a method for self-monitoring and management of vital signs and diet, a self-monitoring method (SMM) including wireless body area network and mobile technology was proposed in this paper. The study population comprised a total of 180 participants. Differences between measurements taken using the SMM and traditional instruments were analyzed with respect to accuracy and reproducibility. Participant measurements before and after intervention were used to evaluate the validity of the SMM. There was no statistically significant difference between our SMM and traditional instruments for measuring vital signs (p>0.05). The relative standard deviation of the SMM (0.38%) indicated good repeatability. These findings suggest that the SMM had a clear effect of promoting improvement in health habits, health condition monitoring, and disease prevention (p<0.05). Statistical analysis indicated that our SMM contributed to improve monitoring of vital signs and diet, and improved the health-related quality of life among study participants to a certain degree.

Non-Invasive Data Acquisition and IoT Solution for Human Vital Signs Monitoring: Applications, Limitations and Future Prospects

“…Vital data acquisition is considered a key component in any healthcare system, particularly those that provide care for the elderly, children, and those who are permanent patients [15]. Here, vital data acquisition is defined as the sensing, acquiring, processing and interpretation of measured bio-signals in order to determine vital information (bio-information) which can be utilized to help in disease diagnosis [16,17].…”

Optimal Long Distance ECG Signal Data Delivery Using LoRa Technology

“…Several studies have succeeded in monitoring respiratory signals via Bluetooth communication media such as IDM Wirayuda et al [14] and IDGH Wisana et al [15]. Lina Yu et al (2021) used bluetooth communication in research on self-monitoring methods to improve healthrelated quality of life [16]. According to research by GD Putra et al (2017) Bluetooth is proven to be more energy efficient by about 30% compared to WiFi for data transmission, namely the cellphone has a battery life of 16 hours 38 minutes when run with a BLE (Bluetooth Low Energy) communication scheme and 14 hours 46 minutes in wifi communication [17].…”