• Title/Summary/Keyword: Medical Sensor Network

Search Result 173, Processing Time 0.022 seconds

A Wireless ECG monitoring System for Application in Life Emergency Event Detection and Analysis (긴급환자 상황인식 및 분석을 위한 무선 ECG모니터링 시스템)

  • Bhardwaj Sachin;Lee Dae-Seok;Chung Wan-Young
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
    • /
    • 2006.05a
    • /
    • pp.421-425
    • /
    • 2006
  • An ubiquitous healthcare system for the home care of elderly persons was designed and implemented using wireless sensor network technology. The wireless technology for home-care purpose gives new possibilities for monitoring of vital parameter with wearable biomedical sensors, and will give the patient the freedom to be mobile and still be under continuously monitoring and thereby to better quality of patient care. Emphasis is placed on recent advances in wireless ECG system for cardiac event monitoring with particular attention to arrhythmia detection in patient. This paper presents a diagnostic system for cardiac arrhythmias from ECG data, using wireless sensor technology. The system also provides an application for recording activities, events and potentially important medical symptoms. The hardware allows data to be transmitted wirelessly from on-body sensor to the base station and then to PC/PDA. Data is also transmitted to a back-end server for analysis using wireless internet connection. Experiments were conducted using the system for activity monitoring, exercise monitoring and medical screening tests and present preliminary data and results.

  • PDF

A Study on Implementation of System Improvement for Medical Information Processing (의료정보처리를 위한 시스템 개선에 관한 연구)

  • Yoo, Jinho
    • Journal of Digital Convergence
    • /
    • v.14 no.11
    • /
    • pp.283-288
    • /
    • 2016
  • This research is to study IoT based implementation of system and network for medical information processing. This paper's configuration environment consists of sensor node, gateway and server node as a basic IoT architecture. Medical terminal as a sensor node asks connect request to his server, and the server accepts the request if the medical device is already registered. Wearable medical device sends its collected sensing data to server, and server processes the received data for data visualization or saves them for usage in the future. This paper describes overall processes and their algorithms and suggests their software processing architecture.

Energy-efficient intrusion detection system for secure acoustic communication in under water sensor networks

  • N. Nithiyanandam;C. Mahesh;S.P. Raja;S. Jeyapriyanga;T. Selva Banu Priya
    • KSII Transactions on Internet and Information Systems (TIIS)
    • /
    • v.17 no.6
    • /
    • pp.1706-1727
    • /
    • 2023
  • Under Water Sensor Networks (UWSN) has gained attraction among various communities for its potential applications like acoustic monitoring, 3D mapping, tsunami detection, oil spill monitoring, and target tracking. Unlike terrestrial sensor networks, it performs an acoustic mode of communication to carry out collaborative tasks. Typically, surface sink nodes are deployed for aggregating acoustic phenomena collected from the underwater sensors through the multi-hop path. In this context, UWSN is constrained by factors such as lower bandwidth, high propagation delay, and limited battery power. Also, the vulnerabilities to compromise the aquatic environment are in growing numbers. The paper proposes an Energy-Efficient standalone Intrusion Detection System (EEIDS) to entail the acoustic environment against malicious attacks and improve the network lifetime. In EEIDS, attributes such as node ID, residual energy, and depth value are verified for forwarding the data packets in a secured path and stabilizing the nodes' energy levels. Initially, for each node, three agents are modeled to perform the assigned responsibilities. For instance, ID agent verifies the node's authentication of the node, EN agent checks for the residual energy of the node, and D agent substantiates the depth value of each node. Next, the classification of normal and malevolent nodes is performed by determining the score for each node. Furthermore, the proposed system utilizes the sheep-flock heredity algorithm to validate the input attributes using the optimized probability values stored in the training dataset. This assists in finding out the best-fit motes in the UWSN. Significantly, the proposed system detects and isolates the malicious nodes with tampered credentials and nodes with lower residual energy in minimal time. The parameters such as the time taken for malicious node detection, network lifetime, energy consumption, and delivery ratio are investigated using simulation tools. Comparison results show that the proposed EEIDS outperforms the existing acoustic security systems.

Symptom Pattern Classification using Neural Networks in the Ubiquitous Healthcare Environment with Missing Values (손실 값을 갖는 유비쿼터스 헬스케어 환경에서 신경망을 이용한 에이전트 기반 증상 패턴 분류)

  • Salvo, Michael Angelo G.;Lee, Jae-Wan;Lee, Mal-Rey
    • Journal of Internet Computing and Services
    • /
    • v.11 no.2
    • /
    • pp.129-142
    • /
    • 2010
  • The ubiquitous healthcare environment is one of the systems that benefit from wireless sensor network. But one of the challenges with wireless sensor network is its high loss rates when transmitting data. Data from the biosensors may not reach the base stations which can result in missing values. This paper proposes the Health Monitor Agent (HMA) to gather data from the base stations, predict missing values, classify symptom patterns into medical conditions, and take appropriate action in case of emergency. This agent is applied in the Ubiquitous Healthcare Environment and uses data from the biosensors and from the patient’s medical history as symptom patterns to recognize medical conditions. In the event of missing data, the HMA uses a predictive algorithm to fill missing values in the symptom patterns before classification. Simulation results show that the predictive algorithm using the HMA makes classification of the symptom patterns more accurate than other methods.

Development of medical bed system equipped with body pressure sensors (체압센서를 장착한 의료용 침대 시스템의 개발)

  • Seon, Minju;Lee, Youngdae
    • The Journal of the Convergence on Culture Technology
    • /
    • v.7 no.1
    • /
    • pp.646-653
    • /
    • 2021
  • The medical bed developed in this study consists of N keys and each is driven vertically by an actuator. Since M sensors are mounted on each keyboard to measure body pressure, the resolution of the body pressure map is determined by the MN. A sensor controller is mounted on each keyboard, and the body pressure values measured from M sensors are transmitted to the main controller through a serial communication network such as CAN (Car Area Network). Each keyboard is equipped with a servo driver that drives a motor, and it is connected to the main controller via CAN to control the height of the keyboard according to the displacement value indicated by the main controller. In addition, the maximum body pressure value and body pressure ratio applied to each part of the keyboard are calculated and used as the basic data for controlling bed comfort by artificial intelligence. As a result, the proposed system can be a foundation that can be used for the control of body comfort and pressure sore prevention by artificial intelligence to be developed in the future.

Symptoms-Based Power-Efficient Communication Scheme in WBSN

  • Sasi, Juniven Isin D.;Yang, Hyunho
    • Smart Media Journal
    • /
    • v.3 no.1
    • /
    • pp.28-32
    • /
    • 2014
  • It is practical nowadays to automate data recording in order to prevent loss and tampering of records. There are existing technologies that satisfy this needs and one of them is wireless sensor networks (WSN). Wireless body sensor networks (WBSN) are wireless networks and information-processing systems which are deployed to monitor medical condition of patients. In terms of performance, WBSNs are restricted by energy, and communication between nodes. In this paper, we focused in improving the performance of communication to achieve less energy consumption and to save power. The main idea of this paper is to prioritize nodes that exhibit a sudden change of vital signs that could put the patient at risk. Cluster head is the main focus of this study in order to be effective; its main role is to check the sent data of the patient that exceeds threshold then transfer to the sink node. The proposed scheme implemented added a time-based protocol to sleep/wakeup mechanism for the sensor nodes. We seek to achieve a low energy consumption and significant throughput in this study.

Security Model for Tree-based Routing in Wireless Sensor Networks: Structure and Evaluation

  • Almomani, Iman;Saadeh, Maha
    • KSII Transactions on Internet and Information Systems (TIIS)
    • /
    • v.6 no.4
    • /
    • pp.1223-1247
    • /
    • 2012
  • The need for securing Wireless Sensor Networks (WSNs) is essential especially in mission critical fields such as military and medical applications. Security techniques that are used to secure any network depend on the security requirements that should be achieved to protect the network from different types of attacks. Furthermore, the characteristics of wireless networks should be taken into consideration when applying security techniques to these networks. In this paper, energy efficient Security Model for Tree-based Routing protocols (SMTR) is proposed. In SMTR, different attacks that could face any tree-based routing protocol in WSNs are studied to design a security reference model that achieves authentication and data integrity using either Message Authentication Code (MAC) or Digital Signature (DS) techniques. The SMTR communication and processing costs are mathematically analyzed. Moreover, SMTR evaluation is performed by firstly, evaluating several MAC and DS techniques by applying them to tree-based routing protocol and assess their efficiency in terms of their power requirements. Secondly, the results of this assessment are utilized to evaluate SMTR phases in terms of energy saving, packet delivery success ratio and network life time.

Joint Relay Selection and Resource Allocation for Delay-Sensitive Traffic in Multi-Hop Relay Networks

  • Sha, Yan;Hu, Jufeng;Hao, Shuang;Wang, Dan
    • KSII Transactions on Internet and Information Systems (TIIS)
    • /
    • v.16 no.9
    • /
    • pp.3008-3028
    • /
    • 2022
  • In this paper, we investigate traffic scheduling for a delay-sensitive multi-hop relay network, and aim to minimize the priority-based end-to-end delay of different data packet via joint relay selection, subcarrier assignment, and power allocation. We first derive the priority-based end-to-end delay based on queueing theory, and then propose a two-step method to decompose the original optimization problem into two sub-problems. For the joint subcarrier assignment and power control problem, we utilize an efficient particle swarm optimization method to solve it. For the relay selection problem, we prove its convexity and use the standard Lagrange method to deal with it. The joint relay selection, subcarriers assignment and transmission power allocation problem for each hop can also be solved by an exhaustive search over a finite set defined by the relay sensor set and available subcarrier set. Simulation results show that both the proposed routing scheme and the resource allocation scheme can reduce the average end-to-end delay.

Study on Wireless Body Area Network System Design Based on Transmission Rate (전송률을 고려한 WBAN 시스템 설계에 관한 연구)

  • Park, Joo-Hee
    • Journal of the Korea Society of Computer and Information
    • /
    • v.17 no.12
    • /
    • pp.121-129
    • /
    • 2012
  • In this paper, we proposed WBAN system model to management an application that requires low rate data transfer in IEEE 802.15.4. We have to use different wireless sensor network technology to transfer different date rate and emergency message in medical application service. A suitable system model for WBAN and a WBAN MAC protocol in order to solve these existing system problems are proposed. Firstly, the priority queuing was applied to contention access period, and the system model which could guarantee transmission of a MAC command frame was proposed. Secondly, the MAC frame was newly defined to use the system model which was proposed above. Thirdly, WBAN CSMA/CA back-off algorithm based on data transmission rate was proposed to enhance data throughput and transmission probability of the data frame which does not have priority in the proposed WBAN system. The proposed algorithm is designed to be variable CSMA/CA algorithm parameter, depending on data rate. For the evaluation of WBAN CSMA/CA algorithm, we used Castalia. As a result of the simulation, it is found that the proposed system model can not only relieve loads of data processing, but also probability of collision was decreased.

A Development of Healthcare Monitoring System Based on Internet of Things Effective

  • KIM, Song-Eun;MUN, Ji-Hui;KIM, Kyoung-Sook;KANG, Min-Soo
    • Korean Journal of Artificial Intelligence
    • /
    • v.8 no.1
    • /
    • pp.1-6
    • /
    • 2020
  • The Recently there has been a growing interest in health care due to the COVID-19 situation. In this paper, we intend to develop a healthcare monitoring system to provide users with smart healthcare systems in line with the healthcare 3.0 era. The system consists of a wireless network between various sensors, Android smartphones, and OLEDs using Bluetooth, and through this, a health care monitoring system capable of collecting user's biometric information and managing health by receiving data values of sensors connected to Arduino. In conclusion, the user's BPM value was calculated using the heart rate sensor, and the exercise intensity can be adjusted through this. In addition, a step derivation algorithm is implemented using an acceleration sensor, and calorie consumption can be measured using the step and weight values. As such, the heart rate, step count, calorie consumption data can be transmitted to a smartphone application through a Bluetooth module and output, and can be output to an OLED for users who are not easy to access the smartphone. This healthcare monitoring system can be applied to various groups and technologies.