Design of a Wireless ECG Monitoring System Using Android and Bluetooth Low Energy Technology

Author(s):  
Guest Editor Jianping Du
Author(s):  
P.V. Stepanov ◽  

The article analyzes the possibility of using Bluetooth Low Energy technology to solve the problem of identifying and positioning objects. The analysis and comparison of methods for solving the problem of navigation in the room and the problems of identification and positioning of objects is carried out. The features in the methodology, the positioning algorithm and the architecture of the information system are revealed. An adaptive logic for the operation of labels is proposed. The methods of intelligent processing of signals from labels are considered. The method of selective activation of labels and methods of limiting the activation and signal reception zones are described.


Author(s):  
Budi Rahmadya Rahmadya

Electricity becomes a major need for human in this era. PLN's electricity payment system in residential areas is divided into two ways, postpaid electricity and prepaid electricity. Prepaid electricity using digital kWh meter that shows the use of current, electric power, etc on LCD. The usage of current and electric power can be monitored using Android application using Bluetooth Low Energy (BLE) as communication media. BLE has many advantages module compared to classic bluetooth, for example having a wider range, data transfer speeds up to 1 Mbps, and low power consumption. Therefore the writer researched by implementing Bluetooth Low Energy in the electric power monitoring system. The results of this research showed that the electric power monitoring system and the BLE module could send the result of sensor measurement to android applications. From the testing that has been done showed that the BLE send module can be up to 25 meters distance for unhindered conditions and 8 meters with hindered conditions. And the BLE module energy consumption is more efficient than HC-05 energy comparison BLE module 5,728 mW and the HC-05 module 13.47 mW.  


2021 ◽  
Author(s):  
Aeddula Omsri Kumar ◽  
Flyborg Johan ◽  
Larsson Tobias ◽  
Anderberg Peter ◽  
Johan Sanmartin Berglund ◽  
...  

2015 ◽  
Vol 740 ◽  
pp. 765-768
Author(s):  
He Shan Bian ◽  
Zhao Hui Li ◽  
Fang Zhao

In this paper we discuss our attempt to solve the problem of HAIP(High Accuracy Indoor Position) by using BLE4.0(Bluetooth Low Energy). According to previous research, Wi-Fi Positioning has mainly faced some big challenges. Accuracy is deteriorated by directional handset antennas, which affect the relative AP signal strength; Practical maximum reachable accuracy is 3-10 meters depending on environment; Wi-Fi activities is a big consumption of battery on Mobile Terminal; Now, The Bluetooth Low Energy technology is getting mature. In this paper, we use Bluetooth low energy on iOS device to solve the problem of high accuracy indoor position. In the data-preprocessing step, we use Kalman filter to process the RSSI. In the transition step of RSSI to Distance, we propose a novelty method to adjust the parameters of Log-Distance model dynamically and adaptively according to diagonal beacons’ measurement. We implement our technique and algorithm on iOS device with iOS7.0 SDK. The result shows that error reduced to 0.5m-1.2m range depending on the distance, achieved smaller power consumption.


2015 ◽  
Vol 53 (1) ◽  
pp. 267-275 ◽  
Author(s):  
Jiun-ren Lin ◽  
Timothy Talty ◽  
Ozan Tonguz

Sign in / Sign up

Export Citation Format

Share Document