scholarly journals IoT based Sensor Fusion Algorithm for Online Smart Health Monitoring

2019 ◽  
Vol 8 (2) ◽  
pp. 6040-6046
Keyword(s):  
Sensor Fusion ◽  
Human Life ◽  
Standard Of Care ◽  
Health Condition ◽  
The Body ◽  
Sensor Nodes ◽  
Fusion Algorithm ◽  
Patient Health ◽  
Health Care Applications ◽  
Internet Of Things Technology

Emerging Internet of Things technology plays the major role in modern healthcare not only for sensing but also in recording, communication and display results. The major role of an intensive care unit (ICU) is to improve patient health such as bringing about a change in the treatment or move the patient to a step-down unit etc. Monitoring also shows the extent of observance with a formulated standard of care. In ICU, care should be taken to monitor medical parameters, such as EEG, EMG, BP etc , continuously. In recent health care applications such as real time human health condition monitoring, patient information management etc, IoT technology brings convenience of general practitioner and human, since it is applied in various medical areas, the Body Sensor Network (BSN) is one of the main technology of IoT based medical applications, where a tiny smart and lightweight wireless sensor nodes are used for monitoring patient’s health condition. Hence, this paper proposes BSN integrated with IoT based sensor fusion algorithm to save human life those who are in critical condition. Sensor fusion algorithm is used to detect the criticality of the patient’s health condition and IoT technology is used for communicating information. The testbed has been developed using Rasberry Pi controller, EMG sensor,, BP sensor etc and tested. The tested results also analyzed.

Multimodal Sensor Fusion for Indoor Occupancy Determination

2015 ◽  
Vol 764-765 ◽  
pp. 1319-1323
Author(s):  
Rong Shue Hsiao ◽  
Ding Bing Lin ◽  
Hsin Piao Lin ◽  
Jin Wang Zhou
Keyword(s):  
Bayesian Networks ◽  
Sensor Fusion ◽  
Dynamic Bayesian Networks ◽  
Sensor Nodes ◽  
Detection Accuracy ◽  
Multisensor Fusion ◽  
Fusion Algorithm ◽  
Improve Energy Efficiency ◽  
Occupancy Detection ◽  
Automation Systems

Pyroelectric infrared (PIR) sensors can detect the presence of human without the need to carry any device, which are widely used for human presence detection in home/office automation systems in order to improve energy efficiency. However, PIR detection is based on the movement of occupants. For occupancy detection, PIR sensors have inherent limitation when occupants remain relatively still. Multisensor fusion technology takes advantage of redundant, complementary, or more timely information from different modal sensors, which is considered an effective approach for solving the uncertainty and unreliability problems of sensing. In this paper, we proposed a simple multimodal sensor fusion algorithm, which is very suitable to be manipulated by the sensor nodes of wireless sensor networks. The inference algorithm was evaluated for the sensor detection accuracy and compared to the multisensor fusion using dynamic Bayesian networks. The experimental results showed that a detection accuracy of 97% in room occupancy can be achieved. The accuracy of occupancy detection is very close to that of the dynamic Bayesian networks.

scholarly journals IoT based Paralyzed Patient Health and Body Movement Monitoring System

2021 ◽  
Vol 9 (VI) ◽  
pp. 4495-4500
Author(s):  
Hemanth Kumar. R
Keyword(s):  
Monitoring System ◽  
Spinal Cord Injuries ◽  
Body Movement ◽  
Developed Countries ◽  
Health Condition ◽  
The Body ◽  
Raspberry Pi ◽  
Normal Person ◽  
Patient Health ◽  
Paralyzed Patient

Healthcare systems are a very important part of the economy of any country and for the public health. The IoT-based monitoring system for patients with paralysis, which helps to promote the health condition of a patient with paralysis, in addition to the day-to-day life. India has suffered a stroke, the incidence is much higher than that of the more developed countries, it is home to around 2.1 million Indians suffered from the boom of the (lame) per year. If a patient is suffering from a paralysis attack in all or any part of the body can be turned off in order to move in, which means that their movement is restricted and they can barely communicate with anyone at all, because they can't talk like a normal person. Raccoons will find it difficult to understand what they are saying, and help them deal with their day-to-day needs, such as food, water, etc.). At present, work is in progress on the review of the motion parameters on the legs, arms, and head of the paralytics. This paper investigates the development of an integrated and portable prototype is a model of a system for the monitoring of the various movements of the body, spinal cord injuries, with the help of sensors. The tests were carried out by placing the sensors on the head, arm, and leg of the paralyzed patient the data received from these sensors are sent to the raspberry pi 3 model. In the Android app, you'll receive a verbal warning, and if the patient is in need of help via Bluetooth, which, in turn, is connected to the raspberry pi.

Design of Two-Wheeled Self-Balancing Robot Based on Sensor Fusion Algorithm

2014 ◽  
Vol 8 (2) ◽  
pp. 216-221 ◽  
Author(s):  
Jianhai Han ◽  
◽  
Xiangpan Li ◽  
Qi Qin
Keyword(s):  
Sensor Fusion ◽  
Pid Control ◽  
Control Algorithm ◽  
The Body ◽  
Experimental Results ◽  
Control Voltage ◽  
Mems Sensors ◽  
Fusion Algorithm ◽  
Remote Controller ◽  
Balancing Robot

A two-wheeled, self-balancing robot is proposed using 6-axis MEMS sensors MPU6050 to measure its posture. The sensors integrated with a 3-axis gyroscope and a 3-axis accelerometer, can output the inclination of the robot based on sensor fusion algorithm. A handheld remote controller sends out commands to the robot such as forward, back, and turning around. According to the inclination and orientation commands, a 16-bit MCU using the PID control algorithm calculates the required control voltage for the motors, to adjust the robot’s posture and keep the body balanced. In this paper, the principle of the sensor fusion algorithm is fully described, and its effects are verified through related experiments. The experimental results show that the proposed robot is practical and able to balance using inexpensive MEMS sensors.

scholarly journals Secure and efficient transmission of data based on Caesar Cipher Algorithm for Sybil attack in IoT

2021 ◽  
Vol 2021 (1) ◽  
Author(s):  
Aditya Sai Srinivas Thuluva ◽  
Manivannan Sorakaya Somanathan ◽  
Ramasubbareddy Somula ◽  
Sankar Sennan ◽  
Daniel Burgos
Keyword(s):  
Health Condition ◽  
The Body ◽  
Encryption Algorithm ◽  
Sybil Attack ◽  
Routing Attacks ◽  
Data Packets ◽  
Patient Health ◽  
Iot Devices ◽  
Lightweight Encryption ◽  
Sybil Attacks

AbstractThe Internet of Things (IoT) is an emerging concept in the field of information technology. IoT can integrate any real-time entity with another, using sensing, computing and communication capabilities to offer enhanced services in everyday life. In this article, IoT-based patient health monitoring is considered for use in IoT sensors deployed in devices. These devices are attached to the body of the patient for timely tracking of his or her health condition. During data transfers from devices connected to the patient’s body to the doctor, the data may be susceptible to security threats. IoT devices are subjected to many routing attacks, like blackhole, greyhole, Sybil, sinkhole and wormhole attacks. Sybil attacks are the most dangerous routing attacks. This type of attack involves stealing the identities of legitimate nodes; this, in turn, leads to information loss, misinterpretation in the network and an increase in routing disturbances. Hence, in this paper, we propose the use of the traditional Caesar Cipher Algorithm (CCA) along with the lightweight encryption algorithm (LEA) and the Received Signal Strength Indicator (RSSI) to detect and prevent Sybil attacks in an IoT environment. The proposed algorithm detects the false node in a particular path by announcing the attack to another node. It also prevents the attack by choosing an alternative path by which to forward data packets to the desired users. To ensure authentication, privacy and data integrity, the lightweight encryption algorithm with a 64-bit key is used with AODV as the routing protocol.

scholarly journals Knowledge, Awareness, Prevalence and Frequency of Daily Physical Activity and Its Association with Stroke in Young Adult Population

2020 ◽  
Vol 11 (SPL3) ◽  
pp. 507-513
Author(s):  
Sai Sanjith A ◽  
Karthik Ganesh Mohanraj
Keyword(s):  
Physical Activity ◽  
Medical Condition ◽  
Human Life ◽  
Adult Population ◽  
Well Being ◽  
Health Condition ◽  
The Body ◽  
Daily Physical Activity ◽  
Medical Emergency ◽  
The Brain

Stroke is a medical condition affecting the brain. It occurs when the blood supply to the brain or part of the brain is stopped or reduced, preventing the brain cells from getting oxygen. As the neurons are the most sensitive cells in the body, they tend to die after cessation of oxygen supply for a very few minutes. Several remedial measures are available for this medical emergency at the time of stroke and even after that. It is believed that the stroke recurs after time and thus preparatory and cautionary steps to be carried out for survival. Among that daily physical activity seems to have a greater positive approach towards stroke survivors. In general, physical activity is an essential part of human life which many people neglect. But it has an underlying significance for human life and healthy well-being. It maintains the body's health condition free of certain diseases too. Thus, this study attempts to analyze the awareness and to knowledge the people about the association between stroke and daily physical activity.

Chronic Hypoxia as a Potential Factor in Human Life-threatening Diseases

2017 ◽  
Vol 10 (4) ◽  
pp. 3759-3762
Author(s):  
Sandhya MNVS ◽  
Vanitha K ◽  
Ramesh A
Keyword(s):  
Chronic Hypoxia ◽  
Atmospheric Oxygen ◽  
Human Life ◽  
The Body ◽  
Cellular Damage ◽  
Otto Warburg ◽  
Regular Treatment ◽  
Breathing Exercises ◽  
Hypoxic Conditions ◽  
Cancerous Cell

The review article focuses on the importance of adequate oxygen levels in the body as cure and therapy for many ailments. It is known that hypoxia is the cause for cellular damage and if it can be applied to major patho-physiology’s, it can be observed that slow and chronic hypoxic conditions are the cause for most of the diseases. On the contrary, providing each cell of the body with proper oxygen may be helpful in maintaining the immunity of the body and therefore treating many disease conditions. This theory, if tested may show positive results in heart related diseases, neuronal disorders, stresses, digestive disorders and the unresolved cancer too. Slow decrease in the levels of atmospheric oxygen could be a reason to induce chronic hypoxia. According to Dr. Otto Warburg, a Noble laurate, a normal cell when deprived of oxygen, may get converted to a cancerous cell, whereas a cancerous cell cannot survive in aerobic conditions. If this part of his research be concentrated on, there could be fruitful results in the treatment of cancer. To maintain adequate levels of oxygen in the body, simple yogic breathing practices are helpful. And to maintain the adequate atmospheric oxygen, trees and plants which cleanse the atmospheric air are useful. Clinical surveys on volunteers who have been practicing regular breathing exercises can prove the fact that proper and concentrated respiration could prevent many diseases. Thus, supplementing breathing exercises along with the regular treatment for cancer patients could be helpful in alleviating cancer and other diseases.

Biocompatible Polymers and their Potential Biomedical Applications: A Review

2019 ◽  
Vol 25 (34) ◽  
pp. 3608-3619 ◽  
Author(s):  
Uzma Arif ◽  
Sajjad Haider ◽  
Adnan Haider ◽  
Naeem Khan ◽  
Abdulaziz A. Alghyamah ◽  
...  
Keyword(s):  
Drug Delivery ◽  
Side Effects ◽  
Biomedical Applications ◽  
Living System ◽  
Health Condition ◽  
The Body ◽  
Biocompatible Polymers ◽  
Nano Technology ◽  
Artificial Grafts ◽  
Immunological Reactions

Background: Biocompatible polymers are gaining great interest in the field of biomedical applications. The term biocompatibility refers to the suitability of a polymer to body and body fluids exposure. Biocompatible polymers are both synthetic (man-made) and natural and aid in the close vicinity of a living system or work in intimacy with living cells. These are used to gauge, treat, boost, or substitute any tissue, organ or function of the body. A biocompatible polymer improves body functions without altering its normal functioning and triggering allergies or other side effects. It encompasses advances in tissue culture, tissue scaffolds, implantation, artificial grafts, wound fabrication, controlled drug delivery, bone filler material, etc. Objectives: This review provides an insight into the remarkable contribution made by some well-known biopolymers such as polylactic-co-glycolic acid, poly(ε-caprolactone) (PCL), polyLactic Acid, poly(3- hydroxybutyrate-co-3-hydroxyvalerate) (PHBV), Chitosan and Cellulose in the therapeutic measure for many biomedical applications. Methods: : Various techniques and methods have made biopolymers more significant in the biomedical fields such as augmentation (replaced petroleum based polymers), film processing, injection modeling, blow molding techniques, controlled / implantable drug delivery devices, biological grafting, nano technology, tissue engineering etc. Results: The fore mentioned techniques and other advanced techniques have resulted in improved biocompatibility, nontoxicity, renewability, mild processing conditions, health condition, reduced immunological reactions and minimized side effects that would occur if synthetic polymers are used in a host cell. Conclusion: Biopolymers have brought effective and attainable targets in pharmaceutics and therapeutics. There are huge numbers of biopolymers reported in the literature that has been used effectively and extensively.

scholarly journals Migration of Silver and Copper Nanoparticles from Food Coating

Coatings ◽  
2021 ◽  
Vol 11 (4) ◽  
pp. 380
Author(s):  
Hamed Ahari ◽  
Leila Khoshboui Lahijani
Keyword(s):  
Copper Nanoparticles ◽  
Inductively Coupled Plasma ◽  
Food Packaging ◽  
Human Life ◽  
Analytical Techniques ◽  
Optical Emission ◽  
Atomic Emission ◽  
The Body ◽  
Toxic Effects ◽  
Inductively Coupled

Packaging containing nanoparticles (NPs) can increase the shelf life of products, but the presence of NPs may hazards human life. In this regard, there are reports regarding the side effect and cytotoxicity of nanoparticles. The main aim of this research was to study the migration of silver and copper nanoparticles from the packaging to the food matrix as well as the assessment techniques. The diffusion and migration of nanoparticles can be analyzed by analytical techniques including atomic absorption, inductively coupled plasma mass spectrometry, inductively coupled plasma atomic emission, and inductively coupled plasma optical emission spectroscopy, as well as X-ray diffraction, spectroscopy, migration, and titration. Inductively coupled plasma-based techniques demonstrated the best results. Reports indicated that studies on the migration of Ag/Cu nanoparticles do not agree with each other, but almost all studies agree that the migration of these nanoparticles is higher in acidic environments. There are widespread ambiguities about the mechanism of nanoparticle toxicity, so understanding these nanoparticles and their toxic effects are essential. Nanomaterials that enter the body in a variety of ways can be distributed throughout the body and damage human cells by altering mitochondrial function, producing reactive oxygen, and increasing membrane permeability, leading to toxic effects and chronic disease. Therefore, more research needs to be done on the development of food packaging coatings with consideration given to the main parameters affecting nanoparticles migration.

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