## 5 Conclusions  
This paper presented an overall monitoring system of human body signal that is performed by biomedical sensors, MySignals, and the LoRa wireless network system. The MySignals platform is successfully interfaced with ECG, temperature, pulse rate, and oxygen saturation sensors to produce \begin{table}
\begin{tabular}{c c c c c c} \hline \hline
**Reference** & **System** & **Sensor Node** & \
\begin{tabular}{c} **Applied Network** \\ **Technology** \\ \end{tabular} & **Micro-Controller** &
\begin{tabular}{c} **Power** \\ **Consumption** \\ \end{tabular} \\ \hline
[28] &
\begin{tabular}{c} Blood Pressure \\ Monitoring \\ System \\ \end{tabular} & Blood Pressure & BLE & AT89\%2051 & Low Power \\ \hline
[35] &
\begin{tabular}{c} ECG Telemetry \\ System \\ \end{tabular} & ECG & BLE & Arduino & Low Power \\ \hline
[36] &
\begin{tabular}{c} Remotely \\ Patient \\ Monitoring \\ System \\ \end{tabular} & Motion, ECG & BLE & MSP430 & Low Power \\ \hline
[37] & \begin{tabular}{c} Health \\ Telemonitoring \\ System \\ \end{tabular} & \
\begin{tabular}{c} ECG, Blood \\ Pressure \\ \end{tabular} & BLE, ZigBee & N/A &
\begin{tabular}{c} Low Power, \\ Potential \\ Battery-less \\ \end{tabular} \\ \hline
[27] & \
\begin{tabular}{c} ECG \\ Monitoring \\ System \\ \end{tabular} & ECG & ZigBee & ARM/ &
\begin{tabular}{c} Potential \\ Battery-less \\ \end{tabular} \\ \hline
[38] & \
\begin{tabular}{c} Healthcare \\ System of \\ Doppler Shifts \\ \end{tabular} &
\begin{tabular}{c} ECG, \\ Photo-plethysmogram (PPG) \\ \end{tabular} & Wi-Fi & N/A & High \\ \hline
[39] &
\begin{tabular}{c} Patients’ Daily \\ Activity \\ Monitoring \\ System \\ \end{tabular} & Inertial & Wi-Fi & N/A & High \\ \hline
[40] & \begin{tabular}{c} Safety and \\ Health \\ Monitoring \\ Applications \\ \end{tabular} & \
\begin{tabular}{c} PPG, Body \\ Temperature \\ \end{tabular} & LoRa &
\begin{tabular}{c} ARM Cortex \\ M0 \\ \end{tabular} & Low Power \\ \hline
[41] & \begin{tabular}{c} Sustainable \\ Health \\ Monitoring \\ System with \\ Smart Clothing \\ \end{tabular} & ECG, Oxygen & Bluetooth & Arduino & Low Power \\ \hline Proposed & \
\begin{tabular}{c} Human Body \\ Signal \\ Monitoring \\ System \\ \end{tabular} &
\begin{tabular}{c} ECG, Body \\ Temperature, \\ Pulse Rate, \\ Oxygen \\ Saturation \\ \end{tabular} & LoRa & Arduino Uno & Low Power \\ \hline \hline \end{tabular}
\end{table} 
Table 9: Comparison among network technologies. BLE: Bluetooth Low Energy; TX: Transmitter. \begin{table}
\begin{tabular}{c c c c} \hline \hline
**Network** & **Data Rate** & \
\begin{tabular}{c} **Transmission** \\ **Range** \\ \end{tabular} &
\begin{tabular}{c} **Power** \\ **Consumption** \\ \end{tabular} & **Battery Life** \\ \hline BLE & 1–2 Mb/s & 10 m & 40 mA TX, Standby \\  & & 0.2 mA & 1 Year \\ ZigBee & 0.02–0.25 Mb/s & 100 m & 30 mA TX, Standby \\  & 11 Mb/s–10 & & 400 mA TX, \\  & Gb/s & \textless{}1 km & Standby 20 mA & Hours \\ LoRa & 290 bps–50 & 15 km & 28–44 mA TX, \\  & Kbps & 15 km & Standby 1.4 mA & 10 Years \\ \hline \hline \end{tabular}
\end{table} 
Table 10: Comparison among different health monitoring systems with applied sensor nodes. BLE: Bluetooth Low Energy; ECG: Electrocardiogram. vital signs and data for medical patients or applications. The LoRa module has been installed and configured successfully to enable communications with a terminal program. To prove the effectiveness and efficiency of the sensor data, statistical analysis with hypothesis testing was performed. Overall, the performance of the system was effective in terms of collecting human body data, which is a suitable solution for IoT based healthcare. [PERSON] made significant contributions to this study regarding conception, design, analysis, and writing the draft manuscript. [PERSON] revised the article critically for important intellectual contents and supervised the whole study. [PERSON] participated in the development idea with a critical analysis and contributed to the write-up and revision of the manuscript. [PERSON], [PERSON], and [PERSON] revised the article.