... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks最新文献_第6页

Surface Light Barriers 表面光屏障

... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks Pub Date : 2022-01-01 DOI: 10.5220/0010777500003118

Theo Gabloffsky, B. Kruse, R. Salomon

引用次数: 0

Appropriate Integration of Wake-up Receivers in Simulations Tools based on Real Experiments 基于真实实验的唤醒接收机在仿真工具中的适当集成

... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks Pub Date : 2022-01-01 DOI: 10.5220/0011012500003118

Amina Whichi, R. Fromm, A. Fakhfakh, F. Derbel

引用次数: 0

A Distributed Intelligent Intrusion Detection System based on Parallel Machine Learning and Big Data Analysis 基于并行机器学习和大数据分析的分布式智能入侵检测系统

... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks Pub Date : 2022-01-01 DOI: 10.5220/0010886300003118

Faten Louati, F. Ktata, Ikram Amous

引用次数: 1

A New Architecture Proposal of Half-wave Precision Rectifier using a Single VCII 一种单VCII半波精密整流器的新结构方案

... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks Pub Date : 2022-01-01 DOI: 10.5220/0010901900003118

L. Safari, G. Barile, Mattia Ragnoli, G. Ferri, V. Stornelli

{"title":"A New Architecture Proposal of Half-wave Precision Rectifier using a Single VCII","authors":"L. Safari, G. Barile, Mattia Ragnoli, G. Ferri, V. Stornelli","doi":"10.5220/0010901900003118","DOIUrl":"https://doi.org/10.5220/0010901900003118","url":null,"abstract":"In this paper a new second generation voltage conveyor (VCII) based half wave rectifier circuit architecture proposal is presented. Both inverting and non-inverting outputs in the form of voltage signal are produced. The proposed circuit is the first half wave rectifier architecture using VCIIs introduced in the literature. It consists of one VCII, two diodes and a single grounded resistor. The input signal is in current form and the rectified output voltage signal is provided at the low impedance Z port of the same VCII. Therefore, the produced output signal can be directly used with no need to add extra voltage buffers. In addition, the circuit gain is set by the grounded resistor value and can be tuned. The proposed circuit enjoys a simple transistorlevel structure employing only 21 transistors. In this paper, the architecture of the rectifier is presented and explained, as well as a possible VCII topology. Preliminary simulation results are also given highlighting its capabilities. Its simplicity and versatility make it suitable for sensor interfaces and processing circuits for sensor networks where a low power consumption for the analog processing section is of the utmost","PeriodicalId":72028,"journal":{"name":"... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks","volume":"1 1","pages":"158-162"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91161917","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 5

Storage Allocation for Camera Sensor Networks using Feedback-based Price Discrimination 基于反馈价格歧视的相机传感器网络存储分配

... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks Pub Date : 2022-01-01 DOI: 10.5220/0010858500003118

Alexandre Martins, Hung-Yu Wei, Karl-Erik Årzén

引用次数: 0

Towards Noninvasive Accurate Detection of Intrapartum Fetal Hypoxic Distress. 无创准确检测分娩期胎儿缺氧窘迫。

... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks Pub Date : 2021-07-01 Epub Date: 2021-08-16 DOI: 10.1109/bsn51625.2021.9507036

Begum Kasap, Kourosh Vali, Weitai Qian, Herman L Hedriana, Aijun Wang, Diana L Farmer, Soheil Ghiasi

{"title":"Towards Noninvasive Accurate Detection of Intrapartum Fetal Hypoxic Distress.","authors":"Begum Kasap, Kourosh Vali, Weitai Qian, Herman L Hedriana, Aijun Wang, Diana L Farmer, Soheil Ghiasi","doi":"10.1109/bsn51625.2021.9507036","DOIUrl":"10.1109/bsn51625.2021.9507036","url":null,"abstract":"<p><p>Current intrapartum fetal well-being assessment is performed using electronic fetal monitoring (EFM), technically referred to as cardiotocography (CTG), which transabdominally monitors fetal heart rate (FHR) in relationship to maternal uterine contractions. Sometimes the deceleration in FHR following a uterine contraction can be sign of fetal hypoxic distress, but it may also be a normal physiological response. Multiple studies have shown that EFM has a high false positive rate for detecting fetal hypoxia. This has caused a rise in emergency Cesarean section (C-section) deliveries performed in the US over the years, while the rates of various conditions associated with anoxic brain injury at birth remain unchanged. The underlying problem is that many factors other than hypoxia can cause non-reassuring CTG traces and a more objective measure of oxygen supply to the fetal brain is not conveniently available. We are working to develop a transabdominal fetal pulse oximetry (TFO) system to non-invasively measure fetal arterial blood oxygen saturation (FSpO2) in order to enhance intrapartum fetal monitoring. This paper gives an overview of the past and ongoing work performed to develop TFO, highlights the main engineering and clinical challenges faced and presents preliminary results that demonstrate feasibility of TFO in both pregnant sheep models and human subjects.</p>","PeriodicalId":72028,"journal":{"name":"... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks","volume":"2021 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10634358/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72016721","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

PAIoT Network: A Unique Regional IoT Network for Very Different Applications PAIoT网络:一个独特的区域物联网网络，用于非常不同的应用

... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks Pub Date : 2021-01-01 DOI: 10.5220/0010321401070112

S. Nanni, G. Mazzini

引用次数: 1

Mirror Mosaicking: A Novel Approach to Achieve High-performance Classification of Gases Leveraging Convolutional Neural Network 镜像镶嵌:利用卷积神经网络实现高性能气体分类的新方法

... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks Pub Date : 2021-01-01 DOI: 10.5220/0010251500860091

S. N. Chaudhri, N. S. Rajput

{"title":"Mirror Mosaicking: A Novel Approach to Achieve High-performance Classification of Gases Leveraging Convolutional Neural Network","authors":"S. N. Chaudhri, N. S. Rajput","doi":"10.5220/0010251500860091","DOIUrl":"https://doi.org/10.5220/0010251500860091","url":null,"abstract":"Limited dimensionality of the dataset obtained from an electronic nose (EN) is due to the number of elements in the sensor array used generally in the range of 4-8 elements only. Further, large number of sensor data can be generated by sampling the sensor responses both during the transient and steady states. The lowerdimensionality of sensor data prohibits the use of a convolutional neural network (CNN)-based pattern recognition techniques because the kernels of a CNN cannot be used on the obtained sample vectors to extract the features. In this paper, we have proposed a novel approach to enhance the data dimensionality keeping the sensor response characteristics absolutely unaltered. By leveraging the concept of mirror mosaicking technique, we have upscaled the input sample vectors into a 6×6 2-D input arrays to train the shallow CNN. Using the proposed approach, all the 16-unknown steady-state test samples classified accurately which are not used during the training. Moreover, the parameters of the classification report viz., Precision, Recall, and F1 score also obtained with a fraction value of 1.00. The proposed technique is a generic approach that can be used to classify various low-dimensional datasets obtained from various sensor arrays in various fields.","PeriodicalId":72028,"journal":{"name":"... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks","volume":"61 1","pages":"86-91"},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83821675","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 5

Practical Precision Agriculture with LoRa based Wireless Sensor Networks 基于LoRa无线传感器网络的实用精准农业

... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks Pub Date : 2021-01-01 DOI: 10.5220/0010394401310140

J. Gresl, Scott Fazackerley, R. Lawrence

{"title":"Practical Precision Agriculture with LoRa based Wireless Sensor Networks","authors":"J. Gresl, Scott Fazackerley, R. Lawrence","doi":"10.5220/0010394401310140","DOIUrl":"https://doi.org/10.5220/0010394401310140","url":null,"abstract":"Precision agriculture is enabled by using real-time data to manage environmental variations, measure performance to improve upon previous seasons, and perform predictive analysis to make better growing decisions, resulting in higher production yields with lower production costs. Although beneficial, collecting and analyzing the environmental data is an expensive and complicated endeavor. Numerous existing wireless sensor network (WSN) solutions rely on protocols such as 802.15.4 b (LR-WPANs) and 802.11x (WLAN) but provide limited transmission range, complex communication stacks and data management, and high power consumption. Additionally, many existing services introduce challenges with data ownership and residency. These factors present a high barrier to entry for growers. The resources required to implement and maintain sensor networks are too high to justify the investment. This work presents an approach that uses inexpensive and effective hardware that is easily setup and maintained. Costs to implement the network are reduced through the use of open-source hardware. Transmission ranges and power consumption are improved by using long range (LoRa) radio transceivers. By addressing these limitations, growers will be better enabled to adopt new technologies, ultimately improving sustainability, viability, quality and profit margins in agriculture.","PeriodicalId":72028,"journal":{"name":"... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks","volume":"25 1","pages":"131-140"},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84169618","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 7

Low Energy ECG Features Extraction for Atrial Fibrillation Detection in Wearable Sensors 基于可穿戴传感器的房颤低能心电特征提取

... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks Pub Date : 2021-01-01 DOI: 10.5220/0010245200690077

Manan Almusallam, A. Soudani

引用次数: 0