scholarly journals Medical Healthcare System Based on Wireless Body Area Networks: The Importance of Anomaly Detection

2020 ◽  
Vol 9 (3) ◽  
pp. 3039-3046
Keyword(s):  
Medical Information ◽  
Vital Signs ◽  
Principal Component ◽  
Sensor Data ◽  
Body Sensor Networks ◽  
False Alarms ◽  
Body Area ◽  
Network Systems ◽  
Wireless Body Sensor Networks ◽  
Medical Healthcare

In this research paper, a modern framework is presented to detect anomaly in medical wireless body sensor network systems that are incorporated in distant observation of patient’s vital signs. The suggested framework effects analysis of data in a sequential manner using a mini gateway utilized as a root station to discover abnormal alterations and to deal with inaccurate computations in gathered medical information minus advance awareness of irregular occurrences or consistent data patterns. The suggested perspective relies on Principal Component Analysis (PCA) utilized in spatial analysis and dimension reduction for gathered medical details. The key goal is distinguishing defective calculations from clinical dangers for reduction of false alarms prompted by incorrect computations or ill-behaved sensors. The result from the experiments on real medical datasets reveal that the suggested PCA perspective is able to attain good discovery perfection with lesser falt alarm rate when contrasted with other perspectives that fail to minimize the excessive dimension of gathered more information so in multivariate Wireless Body Sensor Networks (WBSN) implementations, and dynamic streaming nature of sensor data, mostly in medical implementations.

scholarly journals Review of wireless body sensor networks

2020 ◽  
Vol 9 (4) ◽  
pp. 863
Author(s):  
Sondous Sulaiman Wali ◽  
Mohammed Najm Abdullah
Keyword(s):  
Sensor Networks ◽  
Health Monitoring ◽  
Consumer Electronics ◽  
Sensor Data ◽  
The Internet ◽  
Body Sensor Networks ◽  
Body Area ◽  
The World ◽  
Compression Sensing ◽  
Wireless Body Sensor Networks

Wireless body area networks (WBANs) are emerging as important networks that are applicable in various fields. WBAN gives its users access to body sensor data and resources anywhere in the world with the help of the internet. These sensors offer promising applications in areas such as real-time health monitoring, interactive gaming, and consumer electronics. WBAN does not force the patient to stay in the hospital which saves a lot of physical movement. This paper reviews a review of WBANs. We study the following: prior researches, applications and architectures of WBAN, and compression sensing techniques.  

Secure Encryption and Compression in Wireless Body Sensor Networks

2019 ◽  
Vol 16 (8) ◽  
pp. 3608-3611 ◽  
Author(s):  
A. Sivsangari ◽  
R. Subhashini ◽  
S. Vigneshwari ◽  
B. Bharathi
Keyword(s):  
Energy Consumption ◽  
Data Transmission ◽  
Medical Diagnosis ◽  
Medical Information ◽  
Sensor Nodes ◽  
Body Sensor Networks ◽  
Memory Space ◽  
Proposed Model ◽  
Energy Constrained ◽  
Wireless Body Sensor Networks

The ECG information are essential in medical diagnosis and treatment. If any loss or alteration of medical information during their data transmission, it will affect the patient. The ECG information is very long and needs more memory space for storing the information. However, the sensor nodes are energy constrained and have less memory space. The energy consumption and security are the two important requirements in WBAN. In order to minimize the energy consumption, the proposed model exploits the compression. The compression can reduce the amount of data transmission.

scholarly journals Power-Management Strategies for Medical Information Transmission in Wireless Body Sensor Networks

2020 ◽  
Vol 9 (2) ◽  
pp. 47-51
Author(s):  
Ali Hassan Sodhro ◽  
Luo Zongwei ◽  
Sandeep Pirbhulal ◽  
Arun Kumar Sangaiah ◽  
Sonia Lohano ◽  
...  
Keyword(s):  
Sensor Networks ◽  
Information Transmission ◽  
Power Management ◽  
Medical Information ◽  
Management Strategies ◽  
Body Sensor Networks ◽  
Wireless Body Sensor Networks

Fuzzy Based Key Agreement Scheme Using ECG Signals for Wireless Body Sensor Networks

2014 ◽  
Vol 573 ◽  
pp. 825-829
Author(s):  
R. Rekha ◽  
R. Vidhyapriya ◽  
M. Sangeetha
Keyword(s):  
Key Agreement ◽  
Medical Information ◽  
Health Condition ◽  
Acceptance Rate ◽  
Body Sensor Networks ◽  
False Acceptance Rate ◽  
Ecg Signals ◽  
Symmetric Key ◽  
Health Care Monitoring ◽  
Wireless Body Sensor Networks

Wireless Body Sensor Network (WBSN) is an emerging technology in the area of telemedicine. It helps doctors to remotely monitor the health condition of patients. The success of usage of WBSNs for health care monitoring relies mainly on the security provided to the medical information. In this paper, a fuzzy based key agreement scheme that uses ECG signal to protect the symmetric key to be exchanged is introduced. The effectiveness of the proposed scheme is evaluated using False Acceptance Rate (FAR) and our proposed system shows minimum FAR.

Efficient network selection using multi fuzzy criteria for confidential data transmission in wireless body sensor networks

2021 ◽  
pp. 1-19
Author(s):  
Jawaid Iqbal ◽  
Arif Iqbal Umar ◽  
Noor Ul Amin ◽  
Abdul Waheed ◽  
Saleem Abdullah ◽  
...  
Keyword(s):  
Data Transmission ◽  
Human Life ◽  
Vital Signs ◽  
Weighted Averaging ◽  
Network Selection ◽  
Body Sensor Networks ◽  
Averaging Operator ◽  
Optimal Network ◽  
Confidential Data ◽  
Wireless Body Sensor Networks

In the last decade, due to wireless technology’s enhancement, the people’s interest is highly increased in Wireless Body Sensor Networks (WBSNs). WBSNs consist of many tiny biosensor nodes that are continuously monitoring diverse physiological signals such as BP (systolic and diastolic), ECG, EMG, SpO2, and activity recognition and transmit these sensed patients’ sensitive information to the central node, which is straight communicate with the controller. To disseminate this sensitive patient information from the controller to remote (MS) needs to be prolonged high-speed wireless technology, i.e., LTE, UMTS, WiMAX, WiFi, and satellite communication. It is a challenging task for the controller to choose the optimal network to disseminate various patient vital signs, i.e., emergency data, normal data, and delay-sensitive data. According to the nature of various biosensor nodes in WBSNs, monitor patient vital signs and provide complete intelligent treatment when any abnormality occurs in the human body, i.e., accurate insulin injection when patient sugar level increased. In this paper, first, we select the optimal network from accessible networks using four different fuzzy attribute-based decision-making techniques (Triangular Cubic Hesistent Fuzzy Weighted Averaging Operator, Neutrosophic Linguistic TOPSIS method, Trangualar Cubic Hesistent Fuzzy Hamacher Weighted Averaging Operator and Cubic Grey Relational Analysis) depending upon the quality of service requirement for various application of WBSNs to prolong the human life, enhanced the society’s medical treatment and indorse living qualities of people. Similarly, leakage and misuse of patient data can be a security threat to human life. Thus, confidential data transmission is of great importance. For this purpose, in our proposed scheme, we used HECC for secure key exchange and an AES algorithm to secure patient vital signs to protect patient information from illegal usage. Furthermore, MAC protocol is used for mutual authentication among sensor nodes and Base Stations (BS). Mathematical results show that our scheme is efficient for optimal network selection in such circumstances where conflict arises among diverse QoS requirements for different applications of WBSNs.

scholarly journals IoT based Clinical Sensor Data Management and Transfer using Blockchain Technology

2020 ◽  
Vol 2 (3) ◽  
pp. 154-159 ◽  
Author(s):  
Dr. Haoxiang Wang
Keyword(s):  
Medical Information ◽  
New Technologies ◽  
Vital Signs ◽  
Security Requirements ◽  
Sensor Data ◽  
Healthcare Industry ◽  
Control Structures ◽  
Lab On Chip ◽  
Blockchain Technology ◽  
On Chip

There has been revolutionary developments in the healthcare industry with the advancement of technology over the past years. Internet of Things, Cloud Computing, Blockchain technology, lab-on-chip, non-invasive and minimally invasive surgeries and so on has simplified several dreadful diseases. The research as well as healthcare industry have been greatly impacted by these new technologies. Clinical exams and self-health tracking can be done by means of miniaturized healthcare sensors that are powered by IoT. They help in early diagnosis and treatment guidance by clinicians at remote locations without directly being in contact with the users. The access control structures and inconsistent security policies have been a hinderance in meeting the security requirements of these data. Blockchain based smart contracts and enterprise-distributed ledger framework can be used for monitoring the vital signs of the patient. This enables accessing medical information of patients globally at any time along with immutable and extensive history log. In comparison with the traditional patient monitoring system, the proposed system offers better monitoring, improved connectivity and enhanced data security.

Robust-PCA-based hierarchical plane extraction for application to geometric 3D indoor mapping

2014 ◽  
Vol 41 (2) ◽  
pp. 203-212 ◽  
Author(s):  
Suyong Yeon ◽  
ChangHyun Jun ◽  
Hyunga Choi ◽  
Jaehyeon Kang ◽  
Youngmok Yun ◽  
...  
Keyword(s):  
Principal Component ◽  
Point Clouds ◽  
Previous Method ◽  
Divide And Conquer ◽  
Sensor Data ◽  
Estimation Accuracy ◽  
Content Type ◽  
Extraction Algorithm ◽  
Plane Extraction ◽  
Scan Data

Purpose – The authors aim to propose a novel plane extraction algorithm for geometric 3D indoor mapping with range scan data. Design/methodology/approach – The proposed method utilizes a divide-and-conquer step to efficiently handle huge amounts of point clouds not in a whole group, but in forms of separate sub-groups with similar plane parameters. This method adopts robust principal component analysis to enhance estimation accuracy. Findings – Experimental results verify that the method not only shows enhanced performance in the plane extraction, but also broadens the domain of interest of the plane registration to an information-poor environment (such as simple indoor corridors), while the previous method only adequately works in an information-rich environment (such as a space with many features). Originality/value – The proposed algorithm has three advantages over the current state-of-the-art method in that it is fast, utilizes more inlier sensor data that does not become contaminated by severe sensor noise and extracts more accurate plane parameters.

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