Abstract
In this research, a sensor that will be equipped with blood oxygen saturation function (SPO2) blood and Heart Rate is MH-ET Live max30102 Sensor with Library Max30105. The advantage of this sensor is compatible with ATmega 328P, which is the Arduino board, the first experiment using Arduino Uno. Therefore, MH-ET Sensor data is integrated with Wireless Sensor Network (WSN) devices, e.g, LoRa (Long Range) 915 MHz and calculate WSN path loss when sending sensor data in mountainous areas, the model used to represent signal analysis and measurements in this study is the Ground Reflection (2-ray) model. therefore, the conditions that can be explained are patients who will send their data over hilly areas and hospitals or medical treatments called receiving nodes or coordinator nodes in much lower areas, in the same situation adding routers is expected to be a comparison of whether the data sent faster or even no impact. Furthermore, in this study, it is expected to provide clear results on the function of the router as the sender of pulse sensor data. The point is patients who are in a higher area with the level of impossibility in bringing the patient due to the condition of the patient so that the SPO2 data transmission and heart rate of the patient are expected to be known quickly by the medical authorities through the sensor node device attached to the patient's body. The use of the Adaptive Data Rate (ADR) Algorithm is used to optimize data rate, time on air (ToA) or airtime and energy consumption in the network. Therefore, the End Device (ED) in the ADR algorithm must be static (non-mobile). In the process of measuring the ADR algorithm in the position of sending data (uplink) n-bits to n-gateway. Next, the application server used is ThingsSpeak or The Things Network (TTN).
Highlights
The development of the medical world continues to grow rapidly, medical devices are sophisticated and light, flexible increasingly widespread and Speed in getting health data
The Wireless Sensor Network that is built is based on LoRa (Long Range) Radio Frequency, according to LoRa, has a different type of frequency based on ISM (Industrial, Scientific, and Medical) Band, this frequency distribution is based on the location of the continent or region of each country. e.g., Europe 867-869 MHz, North America 902-928 MHz, China 470-510 MHz, Korea, and Japan 920928 MHz, and India 865-867 MHz
Bit error rate or bit error ratio is the number of digital bits in the transmission network, in this case, LoRa 915 MHz where the total number of error bits is divided by the number of bits sent in a certain time (t), e.g, Bits sent 0110001011, while those received are 0010101001, from 10 data bits sent, there are 3 error bits, so the percentage is 3/10 or 0.3 or 30% Bit ErrorRate (BER), BER can be showed by equation 11[23]
Summary
The development of the medical world continues to grow rapidly, medical devices are sophisticated and light, flexible increasingly widespread and Speed in getting health data. E.g., Europe 867-869 MHz, North America 902-928 MHz, China 470-510 MHz, Korea, and Japan 920928 MHz, and India 865-867 MHz. In this research, the Wireless Sensor Network that is built is based on LoRa (Long Range) Radio Frequency, according to LoRa, has a different type of frequency based on ISM (Industrial, Scientific, and Medical) Band, this frequency distribution is based on the location of the continent or region of each country. LoRa and LoRaWAN [14] are Wireless Sensor Network technologies that are used for long distances because in addition to being able to send data up to ~ 15 km in FSPL (Free Space Path Loss) or Line of Sight (LOS) conditions and Tx Power reaches low ~ 20 mW [15]. Philip A.Catherwood, David Steele, Mike Little, Stephen Mccomb, and James Mclaughlin, with his research entitled "A Community-Based IoT Personalized Wireless Healthcare Solution Trial", have conducted a LoRaWAN Performance test at a distance of 1.1 - 6.0 Km and in this experiment apply for monitoring HealthCare or Medical, the result of measurement obtained PathLoss radio value of 119-1141 dB [19]
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More From: International Journal of Advanced Computer Science and Applications
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