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Accurate Real Time Localization Tracking in A Clinical Environment using Bluetooth Low Energy and Deep Learning [article]

Zohaib Iqbal, Da Luo, Peter Henry, Samaneh Kazemifar, Timothy Rozario, Yulong Yan, Kenneth Westover, Weiguo Lu, Dan Nguyen, Troy Long, Jing Wang, Hak Choy, Steve Jiang
2018 accepted
This study focuses on investigating the feasibility of tracking patients and clinical staff wearing Bluetooth Low Energy (BLE) tags in a radiation oncology clinic using artificial neural networks (ANNs  ...  Future studies will seek to deploy this affordable real time location system in hospitals to improve clinical workflow, efficiency, and patient safety.  ...  In order to monitor clinical workflow, it is essential to develop an accurate real time location system (RTLS) to track patients and clinical staff.  ... 
doi:10.1371/journal.pone.0205392 pmid:30307999 pmcid:PMC6181345 arXiv:1711.08149v3 fatcat:shugsee5czcpza2wfnwkliwjom

Optimized CNNs to Indoor Localization through BLE Sensors Using Improved PSO

Danshi Sun, Erhu Wei, Zhuoxi Ma, Chenxi Wu, Shiyi Xu
2021 Sensors  
For clinical applications such as workflow analysis, Bluetooth Low Energy (BLE) beacons have been employed to map the positions of individuals in indoor environments.  ...  For evaluation comparison, we further adopted machine learning and deep learning algorithms for predicting a user's location in an indoor environment.  ...  Acknowledgments: We would like to thank the National Natural Science Foundation of China and National Key Research and Development Program of China for funding the publication of this project.  ... 
doi:10.3390/s21061995 pmid:33808972 fatcat:jwkytqlrsjdrdou6nw2fq6tw2q

Development of a Real-time Indoor Location System using Bluetooth Low Energy Technology and Deep Learning to Facilitate Clinical Applications [article]

Guanglin Tang, Yulong Yan, Chenyang Shen, Xun Jia, Meyer Zinn, Zipalkumar Trivedi, Alicia Yingling, Kenneth Westover, Steve Jiang
2020 arXiv   pre-print
An indoor, real-time location system (RTLS) can benefit both hospitals and patients by improving clinical efficiency through data-driven optimization of procedures.  ...  We developed a machine learning-based solution using a Long Short-Term Memory (LSTM) network followed by a Multilayer Perceptron classifier and a posterior constraint algorithm to improve RTLS performance  ...  Acknowledgement The authors acknowledge Erlei Zhang for useful discussion of algorithms. The authors thank Jonathan Feinberg for editing the manuscript.  ... 
arXiv:1907.10554v2 fatcat:ljyxkcfjhnc6nkaq66rj54knhq

Smart Healthcare for ECG Telemonitoring System

Jwan Najeeb Saeed, Duhok Technical Institute, Duhok Polytechnic University, Duhok, Kurdistan Region, IRAQ, Siddeeq Y. Ameen, Duhok Polytechnic University, Duhok, Kurdistan Region, IRAQ
2021 Journal of Soft Computing and Data Mining  
Deep learning techniques are used for automatic feature learning in a variety of fields, including health, image classification, and, most recently, for the extraction and classification of complex and  ...  This paper reviews the recent state of the art in electrocardiogram (ECG) smart health monitoring systems based on the Internet of things with the machine and deep learning techniques.  ...  Arduino Lilypad BLE: Bluetooth Low Energy, LAN: Local Area Network, PC: personal computer, RF: radiofrequency Table 4 -summarizes the state of arts that uses ML and DL in the smart healthcare monitoring  ... 
doi:10.30880/jscdm.2021.02.02.007 fatcat:du26vqiieveoponpitdlfv6vnm

IoT Platform for COVID-19 Prevention and Control: A Survey

Yudi Dong, Yu-Dong Yao
2021 IEEE Access  
Currently, with unavailable pharmaceutical treatments and low vaccination rates, this novel coronavirus results in a great impact on public health, human society, and global economy, which is likely to  ...  Specifically, we demonstrate a potential fog-cloud combined IoT platform that can be used in the systematic and intelligent COVID-19 prevention and control, which involves five interventions including  ...  [108] propose to use Bluetooth Low Energy (BLE) to perform contact tracing based on proximity detection.  ... 
doi:10.1109/access.2021.3068276 pmid:34812390 pmcid:PMC8545211 fatcat:cmbjn3ua3be27cbyfd3tpvjypi

Custom IMU-Based Wearable System for Robust 2.4 GHz Wireless Human Body Parts Orientation Tracking and 3D Movement Visualization on an Avatar

Javier González-Alonso, David Oviedo-Pastor, Héctor J. Aguado, Francisco J. Díaz-Pernas, David González-Ortega, Mario Martínez-Zarzuela
2021 Sensors  
In addition, it provides a more reliable motion data acquisition in Bluetooth and Wi-Fi crowded environments, where the use of entry-level commercial solutions might be unfeasible.  ...  The proposed system can be used for wireless real-time human body parts orientation tracking with up to 10 custom sensors, at least at 50 Hz.  ...  Informed Consent Statement: Informed consent was obtained from all subjects involved in the study. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/s21196642 pmid:34640961 pmcid:PMC8512038 fatcat:plyevkutdnas3ctddr6opsveli

IoT Platform for COVID-19 Prevention and Control: A Survey [article]

Yudi Dong, Yu-Dong Yao
2020 arXiv   pre-print
Specifically, we demonstrate a potential fog-cloud combined IoT platform that can be used in the systematic and intelligent COVID-19 prevention and control, which involves five interventions including  ...  One of the lessons learned from the COVID-19 pandemic is that a long-term system with non-pharmaceutical interventions for preventing and controlling new infectious diseases is desirable to be implemented  ...  [99] propose to use Bluetooth Low Energy (BLE) to perform contact tracing based on proximity detection.  ... 
arXiv:2010.08056v2 fatcat:pk7kdk3wu5etlfpfkpn7br5aam

Enabling and Emerging Technologies for Social Distancing: A Comprehensive Survey [article]

Cong T. Nguyen, Yuris Mulya Saputra, Nguyen Van Huynh, Ngoc-Tan Nguyen, Tran Viet Khoa, Bui Minh Tuan, Diep N. Nguyen, Dinh Thai Hoang, Thang X. Vu, Eryk Dutkiewicz, Symeon Chatzinotas, Bjorn Ottersten
2020 arXiv   pre-print
This paper aims to provide a comprehensive survey on how emerging technologies, e.g., wireless and networking, AI can enable, encourage, and even enforce social distancing.  ...  Finally, we provide important open issues and challenges (e.g., privacy-preserving, cybersecurity) in implementing social distancing in practice.  ...  In [70] , the authors point out that with the development of Bluetooth Low Energy, Bluetooth-based indoor localization can be considered as a practical method to locate Bluetooth devices in indoor environments  ... 
arXiv:2005.02816v1 fatcat:3gk7vy5k5ravzceb3c2t23e74e

The Concept of Advanced Multi-Sensor Monitoring of Human Stress

Erik Vavrinsky, Viera Stopjakova, Martin Kopani, Helena Kosnacova
2021 Sensors  
Based on these results, we present the concept of an accurate, reliable and easier to use telemedicine device for long-term monitoring of people in a real life.  ...  We can monitor stress in strictly controlled laboratory conditions, but it is time-consuming and does not capture reactions, on everyday stressors or in natural environment using wearable sensors, but  ...  With the recent trend of wearable devices and real-time measurements in the home environment, the demands for accurate measurement, analysis and automation are increasing [98] .  ... 
doi:10.3390/s21103499 pmid:34067895 pmcid:PMC8157129 fatcat:sxlhogcqenerzgg6kidjdnujvq

Survey of Localization for Internet of Things Nodes: Approaches, Challenges and Open Issues

Sheetal Ghorpade, Marco Zennaro, Bharat Chaudhari
2021 Future Internet  
One of the crucial requirements in IoT systems is the accurate and fast localization of its nodes with high energy efficiency and low cost. The localization process has several challenges.  ...  With exponential growth in the deployment of Internet of Things (IoT) devices, many new innovative and real-life applications are being developed.  ...  Such applications require the precise location of nodes in real-time and with low energy consumption and minimal cost.  ... 
doi:10.3390/fi13080210 fatcat:bbzjjgzw55c3fjuzacja7jcj5q

Constrained Localization: A Survey

Trifun Savic, Xavier Vilajosana, Thomas Watteyne
2022 IEEE Access  
Indoor localization techniques have been extensively studied in the last decade. The well-established technologies enable the development of Real-Time Location Systems (RTLS).  ...  We introduce a specific use case as a guiding application throughout this article: localizing low-cost low-power miniature wireless swarm robots.  ...  Authors would also like to thank Razanne Abu-Aisheh and Mališa Vučinić for proofreading the article.  ... 
doi:10.1109/access.2022.3171859 fatcat:b2jwl5xqyvczllswayqpjjv5ey

A Moving Object Detection Method Using Deep Learning-Based Wireless Sensor Networks

Linghua Zhao, Zhihua Huang, Wei Wang
2021 Complexity  
Aiming at the problem of real-time detection and location of moving objects, the deep learning algorithm is used to detect moving objects in complex situations.  ...  In this paper, based on the deep learning algorithm of wireless sensor networks, a novel target motion detection method is proposed.  ...  Comparison of horizontal and vertical directions of real track and tracking track. Figure 10 : 10 Coordinate sketch of moving target location results based the on deep learning algorithm.  ... 
doi:10.1155/2021/5518196 fatcat:ktittyxpofccjhxjyktpgvyeji

Behavioral Monitoring Tool for Pig Farmers: Ear Tag Sensors, Machine Intelligence, and Technology Adoption Roadmap

Santosh Pandey, Upender Kalwa, Taejoon Kong, Baoqing Guo, Phillip C. Gauger, David J. Peters, Kyoung-Jin Yoon
2021 Animals  
Here, we present a remote monitoring tool for the objective measurement of some behavioral indicators that may help in assessing the health and welfare status—namely, posture, gait, vocalization, and external  ...  Relevant behavioral health indicators are discussed for implementing machine learning algorithms and decision support tools to detect animal lameness, lethargy, pain, injury, and distress.  ...  Acknowledgments: We are grateful to Dalton Pottebaum for providing access to the animals, and to Clark Wolf for our discussions and collaborative efforts.  ... 
doi:10.3390/ani11092665 pmid:34573631 pmcid:PMC8466302 fatcat:rltxmopobzb63kr6dkjcvq3dpm

Non-Pharmaceutical Interventions against COVID-19 Pandemic: Review of Contact Tracing and Social Distancing Technologies, Protocols, Apps, Security and Open Research Directions

Uzoma Rita Alo, Friday Onwe Nkwo, Henry Friday Nweke, Ifeanyi Isaiah Achi, Henry Anayo Okemiri
2021 Sensors  
The COVID-19 Pandemic has punched a devastating blow on the majority of the world's population.  ...  Finally, the paper proposed insightful recommendations and open research directions in contact tracing and social distancing that could assist researchers, developers, and governments in implementing new  ...  A newer version called Bluetooth low energy (BLE) was designed specifically for low energy applications such as in the internet of things (IoT) [29] .  ... 
doi:10.3390/s22010280 pmid:35009822 pmcid:PMC8749862 fatcat:y2g2oi4z2zavdc6hzju4hczb64

Developing a Solution for Mobility and Distribution Analysis Based on Bluetooth and Artificial Intelligence

Marius Minea, Cătălin Dumitrescu, Ilona Mădălina Costea, Ionuț Cosmin Chiva, Augustin Semenescu
2020 Sensors  
The principle consists of the detection of mobile devices that use active Bluetooth connections, such as personal notebooks, smartphones, smartwatches, Bluetooth headphones, etc. to locate and track their  ...  The specific configuration of Bluetooth detectors may be installed either in a fixed location, or in a public transport vehicle.  ...  Research regarding applicability of Bluetooth in patient tracking in a clinical environment is described in [3] , where the authors investigate the feasibility of an indoor real-time location system based  ... 
doi:10.3390/s20247327 pmid:33419315 fatcat:jhxe2ofndfgw3ka7o3ven36sqy
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