Low cost wireless cerebral oximeter using Bluetooth Low Energy technology

2020 ◽  
Author(s):  
Kuan-Cheng Wu ◽  
Davide Tamborini ◽  
Adriano Peruch ◽  
Kimberly Stephens ◽  
David Salat ◽  
...  
Keyword(s):  
Low Cost ◽  
Low Energy ◽  
Energy Technology ◽  
Bluetooth Low Energy ◽  
Cerebral Oximeter

scholarly journals A Low-Cost Tracking System for Running Race Applications Based on Bluetooth Low Energy Technology

Sensors ◽  
2018 ◽  
Vol 18 (3) ◽  
pp. 922 ◽  
Author(s):  
David Perez-Diaz-de-Cerio ◽  
Ángela Hernández-Solana ◽  
Antonio Valdovinos ◽  
Jose Valenzuela
Keyword(s):  
Tracking System ◽  
Low Cost ◽  
Low Energy ◽  
Energy Technology ◽  
Bluetooth Low Energy

scholarly journals Using Bluetooth Low Energy Technology to Perform ToF-Based Positioning

Electronics ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. 111
Author(s):  
Antonella Comuniello ◽  
Alessio De Angelis ◽  
Antonio Moschitta ◽  
Paolo Carbone
Keyword(s):  
Distributed Systems ◽  
Time Domain ◽  
Time Synchronization ◽  
Low Cost ◽  
Time Of Flight ◽  
Indoor Positioning ◽  
Low Energy ◽  
Positioning System ◽  
Energy Technology ◽  
Bluetooth Low Energy

Many distributed systems that perform indoor positioning are often based on ultrasound signals and time domain measurements exchanged between low-cost ultrasound transceivers. Synchronization between transmitters and receivers is usually needed. In this paper, the use of BLE technology to achieve time synchronization by wirelessly triggered ultrasound transceivers is analyzed. Building on a previous work, the proposed solution uses BLE technology as communication infrastructure and achieves a level of synchronization compatible with Time of Flight (ToF)-based distance estimations and positioning. The proposed solution was validated experimentally. First, a measurement campaign of the time-synchronization delay for the adopted embedded platforms was carried out. Then, ToF-based distance estimations and positioning were performed. The results show that an accurate and low-cost ToF-based positioning system is achievable, using ultrasound transmissions and triggered by BLE RF transmissions.

The methodology of using bluetooth technology to solve the problems of identifying and determining the position of objects.

2021 ◽  
Vol 5 ◽  
Author(s):  
P.V. Stepanov ◽  
Keyword(s):  
Information System ◽  
Low Energy ◽  
Comparison Of Methods ◽  
Energy Technology ◽  
Adaptive Logic ◽  
Selective Activation ◽  
Bluetooth Low Energy ◽  
Intelligent Processing ◽  
Positioning Algorithm

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.

scholarly journals A Low Cost Indoor Positioning System Using Bluetooth Low Energy

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 136858-136871
Author(s):  
Lu Bai ◽  
Fabio Ciravegna ◽  
Raymond Bond ◽  
Maurice Mulvenna
Keyword(s):  
Low Cost ◽  
Indoor Positioning ◽  
Low Energy ◽  
Positioning System ◽  
Bluetooth Low Energy ◽  
Indoor Positioning System

scholarly journals A Solution with Bluetooth Low Energy Technology to Support Oral HealthCare Decisions for Improving Oral Hygiene

2021 ◽  
Author(s):  
Aeddula Omsri Kumar ◽  
Flyborg Johan ◽  
Larsson Tobias ◽  
Anderberg Peter ◽  
Johan Sanmartin Berglund ◽  
...  
Keyword(s):  
Oral Hygiene ◽  
Low Energy ◽  
Energy Technology ◽  
Bluetooth Low Energy

A Method of Indoor Localization Based on BLE4.0 Protocol of Using Beacons

2015 ◽  
Vol 740 ◽  
pp. 765-768
Author(s):  
He Shan Bian ◽  
Zhao Hui Li ◽  
Fang Zhao
Keyword(s):  
Kalman Filter ◽  
Power Consumption ◽  
Indoor Localization ◽  
Signal Strength ◽  
Mobile Terminal ◽  
High Accuracy ◽  
Low Energy ◽  
Energy Technology ◽  
Bluetooth Low Energy ◽  
Distance Model

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.

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