Sensor integration for perinatology research

Abstract

The numbers of high-risk pregnancies and premature births are increasing due to the steadily higher age at which women get pregnant. The long-term quality of life of the neonates and their families depends increasingly critically on the ability to monitor the health status of mother and child accurately, continuously and unobtrusively throughout the perinatal period. Advances in sensor integration have enabled the creation of non-invasive solutions to improve the healthcare of the pregnant woman, and her child before, during and after delivery. In this paper, we present the design work of a smart jacket integrated with textile sensors for neonatal monitoring and software architecture of advanced sensor integration for delivery simulator. A balanced integration of technology, user focuses and design aspects is achieved. Prototypes are built for demonstrating the design concept and the experimental results are obtained in clinical settings.

Wireless Body Area Network: An Overview and Various Applications

“…Sensors are placed on the body of patient that are capable of sending body organ status such as body temperature, heart rate, blood pressure, ECG signal for monitoring heart activity, movement sensor to monitor patient movement [18]. These sensors can be of two types such as on-body and in-body implants.…”

Transferring Design Knowledge: Challenges and Opportunities

“…For example, knowledge from the fields of engineering, ergonomics and psychology are needed for designing future aircraft seat [20]; while designing the next generation of health monitoring systems requires the integration of expertise from medical science, electrical engineering and user research [7,6]. This multi-disciplinary character requires changes of the design environments, methods and tools in all phases of the development cycle.…”

Distributed architecture for delivery simulators

“…Medical simulators are used more and more in training, due to the decreasing real-life cases. To enhance the training effect, sophisticated simulators are integrated into a realistic training environment that takes into account the medical instruments and team aspects [1]. The training environment becomes increasingly complex and requires a clear structure for different training scenarios and flexible hardware configurations.…”