Smart wearables with multimodal sensors for health monitoring

• Main Author: Liu, Linkun
• Other Authors: Poenar Daniel Puiu
• Format: Thesis-Master by Coursework
• Language: English
• Published: Nanyang Technological University 2024
• Subjects: Engineering; Wearable sensors; Maternal health monitoring; Fetal heart rate; Uterine contractions; Real-time health analytics; Remote prenatal care; Bio-signal processing; Data transmission
• Online Access: https://hdl.handle.net/10356/181040
• Institution: Nanyang Technological University

Today, as people are becoming more and more concerned about their health, pregnancy health monitoring remains a challenge. Traditional methods require them to go to the hospital regularly, and certain tests can also be invasive. Wearable devices have the advantage of portability, non-invasiveness and ease of operation. Therefore, wearable devices have become a potential solution. This thesis focuses on the development of a wearable device for pregnancy health monitoring. It integrated a variety of sensors for the detection of common physiological indicators such as body temperature, heart rate, fetal movement, uterine contractions. At the same time, it was equipped with the functions necessary to enable long-term monitoring and remote communication. We developed a database to store the data and used a web page as the user interface. Users and healthcare professionals can easily view the health indicators. At the same time, we integrated the signal processing and data analysis functions into the server, so that the physiological indicators can be displayed in the UI in real time. In the experiment, the sensors performed well. The signal processing and data analysis parts achieved the expected purpose. This proved that our device can be used in pregnancy health monitoring. In the future, the integration of multi-sensor technologies will allow wearable devices to monitor the user's health in an allencompassing and multi-dimensional way. Data security and privacy protection measures also need to be developed. Multidisciplinary collaborations and exchanges can jointly solve the technical and application challenges in the field of pregnancy health monitoring.