• The Journal of the Korea institute of electronic communication sciences
• /
• v.6 no.6
• /
• pp.981-986
• /
• 2011

In this paper, the module for measuring SpO2 and PPG(Photo Plethysmo Graphy) signal of human body and the module for wireless communication of these bio-signals to PC were developed. The program was developed to display transmitted SpO2 and PPG signal by various type data and graph without information loss during a emergency transfer. This system can be utilized as appropriate for remote medical care and a new market is expected, to be created according to revision of medical law.

• Proceedings of the KOSOMBE Conference
• /
• v.1998 no.11
• /
• pp.129-130
• /
• 1998

In this paper, We designed the ECG-NIBP-$SpO_2$ patient monitor. This production can measure Electrocardiograph, Heart Rate, Noninvasive Blood Pressure, and Oxygen Saturation for Noninvasive Mehod and can display each information. These informations were implemented by the electrodes of ECG part, the cuff of NIBP module and the finger probe with light sensor of $SpO_2$ without injection of needle or catheter. In addition, We developed a new analysis algorithm and measurement technique for NIBP and $SpO_2$ to observe patient's conditions correctly.

• International Journal of Internet, Broadcasting and Communication
• /
• v.11 no.4
• /
• pp.71-75
• /
• 2019

Sleep apnea is a disease that causes various complications, and the polysomnography is expensive and difficult to measure. The purpose of this study is to develop an unrestricted wearable monitoring system so that patients can be examined in a familiar environment. We used a method to detect sleep apnea events and to determine sleep satisfaction by non-constrained method using SpO2 measurement sensor and 3-axis acceleration sensor. Heart rate and SpO2 were measured at the finger using max30100. After acquiring the SpO2 data of the user in real time, the apnea measurement algorithm was used to transmit the number of apnea events of the user to the mobile phone using Bluetooth (HC-06) on the wrist. Using the three-axis acceleration sensor (mpu6050) attached to the upper body, the number of times of tossing and turning during sleep was measured. Based on this data, this algorithm evaluates the patient's tossing and turning during sleep and transmits the data to the mobile phone via Bluetooth. The power source used 9 volts battery to operate Arduino UNO and sensors for portability and stability, and the data received from each sensor can be used to check the various degree between sleep apnea and sleep tossing and turning on the mobile phone. Through thisstudy, we have developed a wearable sleep apnea measurement system that can be easily used at home for the problem of low sleep efficiency of sleep apnea patients.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.4 no.3
• /
• pp.575-583
• /
• 2000

Pulse oximetry is a well established non-invasive optical technique for monitoring the $SpO_2$ during anaesthesia, recovery and intensive care. Pulse oximeters determine the oxygen saturation level of blood by measuring the light absorption of arterial blood. In the measurement of the hemoglobin oxygen saturation, conventional method has required the technique of filtering of remove the noise, and of complex signal processing algorithm. So much time have been required to signal processing. In this research, we separate AC signal and DC signal in the stage of signal detection. Therefore we simplify the calculation algorithm for $SpO_2$. The implemented system have the high performance such an accuracy and a processing time than the traditional method.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2003.10a
• /
• pp.860-863
• /
• 2003

Pulse oximetry has gained wide spread clinical acceptance in the latter part of the 21st century. The principle of pulse oximetry is based on the red and infrared light absorption features and uses a light emitter with red and infrared LEDs that shines through a reasonably translucent site with good blood flow. There are two methods of sending light through the measuring site : transmission and reflectance. After the transmitted red and infrared signals pass through the measuring site and received at the photodetector, the red/infrared ratio is calculated. But, pulse of oximeters are so sensitive that they may detect pulses when pressure is too low to provide adequate tissue blood flow, that is, SpO2 may decrease due to O2 consumption by the finger of the pulsing but stagnant arterial blood at low pressure or with vasoconstriction. This project has the limitations of pulse oximetry. Therefore, this paper is focused on the resuction of motion artifact that caused by moving when someone measures with SpO2 system.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2018.10a
• /
• pp.163-165
• /
• 2018

Most construction disasters are analyzed to be human factors such as not complying with the safety regulations of construction sites, not using clothing and protective equipment, safety insensitivity, and the health of workers. In order to prevent such a construction disaster, the project site management needs to check the health of workers, but it is difficult to check the condition of workers every hour. Therefore, this paper proposed the design of digital safety-helmet that can automatically identify health conditions by checking workers $SpO_2$ and pulse rates, away from simple protective features.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2015.10a
• /
• pp.578-579
• /
• 2015

Transmission and reflectance are two non-invasive techniques to perform pulse oximetry. This paper presents a design of reflectance-based pulse oximetry for watch-type wearable device, in which sensor and detector are located on the same surface of the body part. The basic principle of a pulse oximeter is based on the measurement of the red and infrared (IR) light absorption. Oxygenated blood has significant differences of light absorption characteristics than deoxygenated blood under red (660 nm) and infrared (940 nm) wavelength. Infrared is absorbed more by oxygenated hemoglobin than red. So the hardware implementation is included placing of the two LEDs (red and IR) with single photo-detector in the middle on the patient's wrist to get the corresponding pulsatile signals which are used to estimate the $SpO_2$.

• Journal of Korea Multimedia Society
• /
• v.18 no.2
• /
• pp.128-137
• /
• 2015

Blood oxygen saturation ($SpO_2$) is so important to be called bio-signal of the fifth. The measurement of blood oxygen saturation based on broad-ban light source has advantages of simple testing facility and easy understanding. This paper proposes a LabVIEW program which measures blood oxygen saturation based on broad-band light source. It combines LabVIEW and MATLAB, utilizing different light absorptions of oxyhemoglobin and deoxyhemoglobin in the visual wavelength range of 450nm-750nm to determine blood oxygen saturation. In order to improve accuracy through reducing the impact of hand shaking, the probe is fixed to the motor stage and then move a constant distance between the probe and the sample to be measured. Experimental results show that the proposed method noticeably increases the accuracy and saves time compared with the conventional methods.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2009.10a
• /
• pp.545-548
• /
• 2009

Recently, researches related to automative mechanism have been widely studied to increase the driver's safety by continuously monitoring the driver's health condition to prevent driver's drowsiness. This paper describes the design of wearable chest belt for ECG and reflectance pulse oximetry for $SpO_2$ sensors based on wireless sensor network to monitor the driver's healthcare status. ECG, $SpO_2$ and heart rate signals can be transmitted via wireless sensor node to base station connected to the server. Intelligent monitoring system is designed at the server to analyze the $SpO_2$ and ECG signals. HRV(Heart Rate Variability) signals can be obtained by processing the ECG and PPG signals. HRV signals are further analyzed based on time and frequency domain to determine the driver's drowsiness status.

• International Journal of Control, Automation, and Systems
• /
• v.5 no.6
• /
• pp.701-706
• /
• 2007

The measurement accuracy for heart rate or $SpO_2$ using photoplethysmography (PPG) is influenced by how well the noise from motion artifacts and other sources can be removed. Eliminating the motion artifacts is particularly difficult since its frequency band overlaps that of the basic PPG signal. Therefore, we propose the Periodic Moving Average Filter (PMAF) to remove motion artifacts. The PMAF is based on the quasi-periodicity of the PPG signals. After segmenting the PPG signal on periodic boundaries, we average the $m^{th}$ samples of each period. As a result, we remove the motion artifacts well without the deterioration of the characteristic point.