Abstract
The quality of sleep affects the patient’s health, along with the observation of vital life signs such as body temperature and sweat in sleep, is essential in the monitoring of sleep as well as clinical diagnosis. However, traditional methods in recording physiological change amidst sleep is difficult without being intrusive. The smart pillow is developed to provide a relatively easy way to observe one’s sleep condition, employing temperature and humidity sensors by implanting them inside the pillow in strategic positions. With the patient’s head on the pillow, the roles of sensors are identified as main, auxiliary or environmental temperature, based on the differences of value from three temperature sensors, thus the pattern of sleep can be extracted by statistical analysis, and the body temperature is inferred by a specially designed Fuzzy Logic System if the head-on position is stable for more than 15 min. Night sweat is reported on data from the humidity sensor. Therefore, a cloud-based health-sensing system is built in the smart pillow to collect and analyze data. Experiments from various individuals prove that statistical and inferred results reflect normal and abnormal conditions of sleep accurately. The daily sleeping information of patients from the pillow is helpful in the decision-making of diagnoses and treatment, and users can change their habits of sleep gradually by observing the data with their health professional.
Highlights
With the advent of a globally aging society, the demand for remote health management systems is gaining acceptance within the medical community
This paper provides a straight-forward way to observe sleep conditions by employing temperature and humidity sensors implanted inside the pillow
The essential element of the current proposed health sensing system is the smart pillow, whose core core component is a Bluetooth Low Energy (BLE) single mode chip, which connects to three temperature sensors and one component is a BLE single mode chip, which connects to three temperature sensors and one humidity humidity sensor by input and output ports; communicating to the agent wirelessly by BLE
Summary
With the advent of a globally aging society, the demand for remote health management systems is gaining acceptance within the medical community. If data can be collected from a pillow under the no-perception condition, it will be a direct, effective, non-invasive and unperturbed way to analyze sleep and health. This paper provides a straight-forward way to observe sleep conditions by employing temperature and humidity sensors implanted inside the pillow. Data analysis is processed in the cloud and results presented via mobile application or web browser. In the following of the paper, related works such as various measurements of body temperature, wearable instruments, transmission by BLE or ZigBee, and health monitoring system are presented first, from the whole to the parts, details of the proposed health sensing system, smart pillow and how body temperature being extracted are explained gradually, and result of daily sleeping is provided and analyzed, which is followed by discussions, conclusions, and the idea of further research
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