Anti-Motion Interference Wearable Device for Monitoring Blood Oxygen Saturation Based on Sliding Window Algorithm

Abstract

Wearable multi-physiological parameter monitoring technology can realize non-intrusive, non-invasive daily health monitoring of the human body. It has the characteristics of convenient operation, long-term continuous work, display of results, abnormal physiological condition alarm and wireless data transmission. First, an improved sliding window confidence propagation algorithm is proposed, which reduces the inefficient iterative process in the decoding process by correlation coefficients and reduces the running time of the algorithm by more than 1.5 times; designing a channel noise estimation method based on sliding window confidence propagation algorithm, and The source coding is similar. In order to estimate the local statistical parameters of the channel noise, the confidence propagation, the decoder uses the local partial probability of the adjacent accompanying child nodes to estimate the noise parameters of the channel noise. Secondly, the design and research of the blood oxygen saturation monitor, including filtering out high-frequency glitch noise, low-frequency baseline drift noise, and mixing and sudden motion interference noise, also achieved rapid and accurate extraction of pulse wave feature points, and calculated the blood oxygen value and pulse rate value. Compared with the traditional oximeter, the filtering algorithm and pulse wave feature point extraction algorithm on the oximeter software have less calculation amount and higher real-time performance. Finally, the relevant test experiment of the blood oxygen saturation monitor proves that the blood oximeter has good stability, accuracy and sensitivity. The practical use of anti-motion interference wearable devices not only shows that the wearable PPG sensor in this paper can stably obtain high-quality PPG signals, but also reflects its many applications in the field of real-time blood. INDEX TERMS Sliding window algorithm; blood oxygen saturation; anti-motion interference; wearable.

Health monitoring system based on wireless personal area network

“…Some of the main parameters of the body, such as heart rate, blood oxygen level and blood pressure have also become people's focus to know their health status quo 1 . Enough amount of oxygen is the material fundamental of all kinds of life activities, and the blood oxygen saturation is an important parameter that reflects blood oxygen level 2 . The decrease of blood oxygen saturation can cause serious hazards, such as hypertension, hypoxemia and coronary heart disease.…”

Design and Implementation of an OCC-Based Real-Time Heart Rate and Pulse-Oxygen Saturation Monitoring System

“…O NE of the most significant diagnostic tests in clinical medicine is the measurement of heart rate (HR) and blood oxygen saturation (SpO 2 ), which can effectively determine the physiological state of the human body [1]. Therefore, it is crucial to monitor these healthcare data, especially in such a period when the world is immobilized by disastrous contagious diseases like COVID-19, in which more than 35 million people were affected across 213 countries, as of this writing [2].…”

“…Reducing power consumption is the main reason to use wireless technology for healthcare data transmission. The most adopted wireless systems are Bluetooth and ZigBee [1], [21]. In this study, to collect the HR and SpO 2 data, we have used a pulse oximeter sensor, which was used in previous studies [22], [23]; however, in [22], two Bluetooth modules were used, whereas in [23], a costly processor was used.…”