Body Fitness Monitoring Using IoT Device

Author(s):  
Govinda K.

Recent technological advances in wireless communications and wireless sensor networks have enabled the design of intelligent, tiny, low-cost, and lightweight medical sensor nodes that can be placed on the human body strategically. The focus of this chapter is to implement the health monitoring system continuously without hospitalization using wearable sensors and create a wireless body area network (WBAN). Wearable sensors monitor the parameters of the human body like temperature, pressure, and heart beat by using sensors and providing real-time feedback to the user and medical staff and WBANs promise to revolutionize health monitoring. In this chapter, medical sensors are used to collect physiological data from patients and transmit it to the system which has details of an individual stored using Bluetooth/Wi-Fi with the help of Arduino and to medical server using Wi-Fi/3G communications.

Wireless Body Area Network (WBAN) is a collection of miniaturized sensing nodes and coordinator nodes. These sensing nodes are placed in, on and around the body for uninterrupted monitoring of physiological data for medical applications. The main application carrier of WBAN is the human body and due to human body movement and physiological changes, the WBAN traffic fluctuates greatly. This network traffic fluctuation requires good network adaptability. In addition to traffic fluctuations, energy consumption is another key problem with WBANs as sensing nodes are very small in size. This paper design a reliable protocol by extending the MAC protocol for reducing energy consumption, PAP algorithm to decide data transmission rate and JOAR algorithm to select the optimize path for the data transmission. The performance of the algorithm outperforms other state of art algorithms to shows its significance.


Author(s):  
Prasenjit Maiti ◽  
Sourav Kanti Addya ◽  
Bibhudatta Sahoo ◽  
Ashok Kumar Turuk

Healthcare expenses are a growing concern in most countries. This has forced medical researchers to look for trusted and ambulatory health monitoring of patient's vital signs. The objective is to reduce patient visits and the use of medical and support staff for frequent examinations. Wireless Body Area Networks (WBAN) consist of implanted, or worn, tiny health monitoring sensor nodes so that the vital body parameters and the movements of the patient can be recorded and communicated to the medical facilities for processing, diagnosis and prescription. WBAN is required to have small form and low power consumption. Reducing energy consumption of the sensor and communication equipment is one of the key research areas. It is also important for WBAN be secure, protected and reliable. Failure to acquire authentic and correct medical data may prevent a patient from being treated effectively, or even lead to wrong treatments. As patient identity can be obtained by correlating physiological information, privacy concerns must be addressed for wide acceptance of the technology. While security is paramount, the cost of implementing security techniques in WBAN may be prohibitive. It, therefore, becomes necessary to find cryptographic solutions that consume less energy. Research efforts are being made to reduce the cost of cryptography used in WBAN. In this paper authors discuss the current and future security solutions for low energy WBAN.


2021 ◽  
Vol 10 (2) ◽  
pp. 44-65
Author(s):  
Koushik Karmakar ◽  
Sohail Saif ◽  
Suparna Biswas ◽  
Sarmistha Neogy

Remote health monitoring framework using wireless body area network with ubiquitous support is gaining popularity. However, faulty sensor data may prove to be critical. Hence, faulty sensor detection is necessary in sensor-based health monitoring. In this paper, an artificial neural network (ANN)-based framework for learning about health condition of patients as well as fault detection in the sensors is proposed. This experiment is done based on human cardiac condition monitoring setup. Related physiological parameters have been collected using wearable sensors from different people. These data are then analyzed using ANN for health condition identification and faulty node detection. Libelium MySignals HW (eHealth Medical Development Shield for Arduino) v2 sensors such as ECG sensor, pulse oximeter sensor, and body temperature sensor have been used for data collection and ARDINO UNO R3 as microcontroller device. ANN method detects faulty sensor data with classification accuracy of 98%. Experimental results and analyses are given to prove the claim.


2017 ◽  
Vol 2017 ◽  
pp. 1-9 ◽  
Author(s):  
Maryam El Azhari ◽  
Nadya El Moussaid ◽  
Ahmed Toumanari ◽  
Rachid Latif

The phenomenal advances in electronics contributed to a widespread use of distributed sensors in wireless communications. A set of biosensors can be deployed or implanted in the human body to form a Wireless Body Area Network (WBAN), where various WBAN PHY layers are utilized. The WBAN allows the measurement of physiological data, which is forwarded by the gateway to the base station for analysis purposes. The main issue in conceiving a WBAN communication mechanism is to manage the residual energy of sensors. The mobile agent system has been widely applied for surveillance applications in Wireless Sensor Networks (WSNs). It consists in dispatching one or more mobile agents simultaneously to collect data, while following a predetermined optimum itinerary. The continuous use of the optimal itinerary leads to a rapid depletion of sensor nodes batteries, which minimizes the network lifetime. This paper presents a new algorithm to equalize the energy consumption among sensor motes. The algorithm exploits all the available paths towards the destination and classifies them with respect to the end-to-end delay and the overall energy consumption. The proposed algorithm performs better compared to the optimal routing path. It increases the network lifetime to the maximum by postponing routing of data via the most-recently used path, and it also maintains data delivery within the delay interval threshold.


2020 ◽  
Vol 16 (2) ◽  
pp. 155014772090679
Author(s):  
Rui Guo ◽  
Chaoyuan Zhuang ◽  
Huixian Shi ◽  
Yinghui Zhang ◽  
Dong Zheng

Wireless body area network includes some tiny wearable sensors for monitoring the physiological data of user, which has been a promising method of promoting the quality and efficiency greatly in healthcare. The collected physical signs are aggregated into the medical documents and uploaded to cloud server for utilizing by the remote user. As these files are highly sensitive privacy data, there is a vital challenge that constructs a secure and efficient communication architecture in this application scenario. Based on this standpoint, we present a lightweight verifiability ciphertext-policy attribute-based encryption protocol with outsourced decryption in this article. Specifically, our construction enjoys the following six features: (1) Although the outsourced decryption enables to save the computation overhead of the data user sharply in an attribute-based encryption scheme, the ciphertext is out of control and the correctness cannot be guaranteed by the data owner. The proposal provides the verifiability of ciphertext that ensures the user to check the correctness efficiently. (2) The size of the ciphertext is constant that is not increased with the complexity of attribute and access structure. (3) For Internet of Things devices, it introduces the fog computing into our protocol for the purpose of low latency and relation interactions, which has virtually saved the bandwidth. (4) With the help of blockchain technique, we encapsulate the hash value of public parameter, original and transformed ciphertext and transformed key into a block, so that the tamper-resistance is facilitated against an adversary from inside and outside the system. (5) In the standard model, we prove that it is selectively chosen-plaintext attack-secure and verifiable provided that the computational bilinear Diffie–Hellman assumption holds. (6) It implements this protocol and shows the result of performance measurement, which indicates a significant reduction on communication and computation costs burden on every entity in wireless body area network.


Author(s):  
Mahar Faiqurahman ◽  
Diyan Anggraini Novitasari ◽  
Zamah Sari

Wireless Body Area Network (WBAN) consists of a number of sensor nodes that are attached to the human body, and intended for monitor the human body condition. The WBAN system has several wireless communication modules that are used for sending or exchanging data between sensor nodes and gateway nodes or gateway nodes. There are some factors that are used to decide which communication modules should be implemented on WBAN system, including communication efficiency, distance range, power consumption, and the effect of mobility on QoS. In this study, we analyze the impact of the kinematic movement of sensor nodes on QoS parameter of HC-05 Bluetooth and NRF25L01 communication modules, during sending and receiving process among nodes. We assume that the sensor node and gateway node are attached on the limbs to catch the movement. We use Quality of Service (QoS) parameters such as delay, jitter, and packet loss, to analyze the impact of movement on communication modules. Based on the experimental result, it was found that the average value of delay and jitter for booth communication modules was slightly influenced by the speed of the sensor node movement. During the sensor node movement and data transmission, we found that the NRF24L01 module have a lower delay and jitter value than Bluetooth HC-05 module. The percentage of packet loss tends to be stable at 0% value, even though the speed value becomes higher.


Electronics ◽  
2021 ◽  
Vol 10 (16) ◽  
pp. 2035
Author(s):  
Farman Ullah ◽  
Hassan Ul Haq ◽  
Jebran Khan ◽  
Arslan Ali Safeer ◽  
Usman Asif ◽  
...  

The epidemic disease of Severe Acute Respiratory Syndrome (SARS) called COVID-19 has become a more frequently active disease. Managing and monitoring COVID-19 patients is still a challenging issue for advanced technologies. The first and foremost critical issue in COVID-19 is to diagnose it timely and cut off the chain of transmission by isolating the susceptible and patients. COVID-19 spreads through close interaction and contact with an infected person. It has affected the entire world, and every country is facing the challenges of having adequate medical facilities along with the availability of medical staff in rural and urban areas that have a high number of patients due to the pandemic. Due to the invasive method of treatment, SARS-COVID is spreading swiftly. In this paper, we propose an intelligent health monitoring framework using wearable Internet of Things (IoT) and Geo-fencing for COVID-19 susceptible and patient monitoring, and isolation and quarantine management to control the pandemic. The proposed system consists of four layers, and each layer has different functionality: a wearable sensors layer, IoT gateway layer, cloud server layer, and client application layer for visualization and analysis. The wearable sensors layer consists of wearable biomedical and GPS sensors for physiological parameters, and GPS and Wi-Fi Received Signal Strength Indicator acquisition for health monitoring and user Geo-fencing. The IoT gateway layer provides a Bluetooth and Wi-Fi based wireless body area network and IoT environment for data transmission anytime and anywhere. Cloud servers use Raspberry Pi and ThingSpeak cloud for data analysis and web-based application layers for remote monitoring based on user consent. The susceptible and patient conditions, real-time sensor’s data, and Geo-fencing enables minimizing the spread through close interaction. The results show the effectiveness of the proposed framework.


Wireless body area network (WBAN) being a sub-domain of wireless sensor network (WSN) is a new emerging technology for healthcare applications. A WBAN consists of low-power tiny wireless nodes placed on or around the human body that continuously observe vital health signs of a patient. These sensors are capable of sending information of physiological parameters taken from human body to other devices for diagnosis procedures and prescription. WBAN provides ubiquitous healthcare services and enables greater mobility without restricting human normal activities, as the medical personnel can observe the patient health conditions based on the data received through the wireless network. This research work provides a WBAN based healthcare monitoring system that can provide the electrocardiogram (ECG), heartbeat, and human body temperature information. The wireless transmission of the received data from human body is performed by using Zigbee IEEE802.15.4 communication standard. The physiological data will be communicated to remote medical server where data is stored and analyzed. In case any disease is diagnosed, medical personnel can provide immediate assistance to the patients.


In these days the demand of remote health monitoring rapidly increases due to in involvement of Wireless Body Area Network (WBAN) that is used for heal monitoring application in real-time scenario due to its capabilities of sensing and fast communication. It is a type of Wireless Sensor Network (WSN) model that consist of various tiny sensor nodes which are power by batteries and used routing algorithms to send a data packets from one node to other via the base station. But energy efficient and secure data transmission is an important factor for any remote location based health monitoring system. So, in this research, we proposed a Remote Location-based Health Monitoring (RLHM) system using the concept of Elliptical Curve Cryptography (ECC) as an encryption method for WBAN model. An intellectual and secure transmission in ECC-based RLHM system with WBAN is based on the location privacy preservation mechanism to support the network communication. The introduced ECC based intellectual and secure transmission mechanism as a routing protocol diminish the involvement of abnormal nodes between end to end nodes in the network to increase the efficiency. At the last of paper, the comparison of proposed ECC-based RLHM system with existing work in presented in respects of Quality of Service (QoS) like verification time, key size and message size and we noticed that the time of verification is reduced by existing in the WBAN model.


Electronics ◽  
2019 ◽  
Vol 8 (1) ◽  
pp. 47 ◽  
Author(s):  
Faisal Jamil ◽  
Muhammad Azhar Iqbal ◽  
Rashid Amin ◽  
DoHyeun Kim

The recent advancement in information technology and evolving of the (IoT) shifted the traditional medical approach to patient-oriented approach (e.g., Telemedicine/Telemonitoring). IoT permits several services including sensing, processing and communicating information with physical and bio-medical constraints. Wireless Body Area Network (WBAN) handles the issues pertaining to the medical purposes in the form of sensor nodes and connected network. The WBAN takes human physiological data as an input to subsequently monitor the patient conditions that are transferred to other IoT components for analysis. Such monitoring and analysis demand a cohesive routing approach to ensure the safe and in-time transfer of data. The temperature rise of bio-medical sensor nodes makes the entire routing operation very crucial because the temperature of implanted nodes rises and ultimately damages body tissues. This needs dispersion in data transmission among different nodes by opting various available routes while avoiding temperature rise. In this paper, we present Adaptive Thermal-Aware Routing algorithm for WBAN. The ATAR is designed to overcome the temperature rise issue of implanted bio-medical sensors nodes. The new protocol is based on Multi-Ring Routing approach to find an alternative route in the case of increasing temperature. The simulation results indicate that proposed protocol is more efficient in terms of temperature rise and throughput than existing approaches.


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