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.

scholarly journals Research on Non-Contact Monitoring System for Human Physiological Signal and Body Movement

Biosensors ◽  
2019 ◽  
Vol 9 (2) ◽  
pp. 58 ◽  
Author(s):  
Qiancheng Liang ◽  
Lisheng Xu ◽  
Nan Bao ◽  
Lin Qi ◽  
Jingjing Shi ◽  
...  
Keyword(s):  
Monitoring System ◽  
Doppler Radar ◽  
Body Movement ◽  
Radar System ◽  
The Body ◽  
Body Motion ◽  
Physiological Monitoring ◽  
Physiological Signal ◽  
Signal Monitoring ◽  
Monitoring Devices

With the rapid increase in the development of miniaturized sensors and embedded devices for vital signs monitoring, personal physiological signal monitoring devices are becoming popular. However, physiological monitoring devices which are worn on the body normally affect the daily activities of people. This problem can be avoided by using a non-contact measuring device like the Doppler radar system, which is more convenient, is private compared to video monitoring, infrared monitoring and other non-contact methods. Additionally real-time physiological monitoring with the Doppler radar system can also obtain signal changes caused by motion changes. As a result, the Doppler radar system not only obtains the information of respiratory and cardiac signals, but also obtains information about body movement. The relevant RF technology could eliminate some interference from body motion with a small amplitude. However, the motion recognition method can also be used to classify related body motion signals. In this paper, a vital sign and body movement monitoring system worked at 2.4 GHz was proposed. It can measure various physiological signs of the human body in a non-contact manner. The accuracy of the non-contact physiological signal monitoring system was analyzed. First, the working distance of the system was tested. Then, the algorithm of mining collective motion signal was classified, and the accuracy was 88%, which could be further improved in the system. In addition, the mean absolute error values of heart rate and respiratory rate were 0.8 beats/min and 3.5 beats/min, respectively, and the reliability of the system was verified by comparing the respiratory waveforms with the contact equipment at different distances.

scholarly journals Preliminary study on sleep monitoring system configuration toward an optimal ambient condition setting on the quality of sleep

2021 ◽  
Vol 1 (1) ◽  
pp. 60-72
Author(s):  
Wira Hidayat Mohd Saad
Keyword(s):  
Embedded System ◽  
Monitoring System ◽  
Body Condition ◽  
Body Movement ◽  
Co2 Concentration ◽  
Good Health ◽  
Ambient Condition ◽  
The Body ◽  
Sleep Monitoring ◽  
The Right

Sleep is a form of rest and getting enough sleep at the right times with suitable surrounding conditions is very important to maintain good health throughout life. The study aims to develop the end-user prototyping for a sleep monitoring system that measures the room ambient and body condition by using a wireless device utilizing Bluetooth Low Energy (BLE) embedded system. For the user interface, the Window application is used to display the collected data from separate ambient parameters and body condition embedded systems using Bluno Uno and Bluno Nano respectively. This sleep monitoring system also equipt with a video and audio based recording from the web camera and microphone of the built-in PC based unit. Capturing data from body monitoring and ambient monitoring separate units are then transferred to the Window based application by using the BLE connection and lastly, the captured data are log into the MySQL database with the date and time stamp. The ambient condition system captured the room temperature and humidity, light intensity and rate of CO2 concentration. The body condition system, it is measuring body temperature, heart rate and body movement. Based on the device testing on sleep monitoring, each of the parameters measured is optimized to choose the best possible occurrence of ambience setting selection for optimal sleep quality.

scholarly journals Cy Sician-Revolutionizing Patient Health Monitoring System with auto-diagnosis

2020 ◽  
Vol 9 (4) ◽  
pp. 1809-1813
Keyword(s):  
Monitoring System ◽  
Health Monitoring ◽  
Well Being ◽  
Raspberry Pi ◽  
Processing Unit ◽  
Patient Handling ◽  
Health Monitoring System ◽  
Sensor Module ◽  
Patient Health ◽  
Patient Will

Cardiovascular diseases (CVD) has emerged as one of the major causes for death in all over the world. This paper displays a framework to remotely screen, health of Cardiovascular disease affected patients utilizing Machine to Machine (M2M) innovation which is a part of the project called CySician . Real time patient health monitoring system is advantageous to the patients and society as it will significantly reduce medical charges, waiting time for patient and improve patient handling capability of any hospital. In this patient health monitoring system pulse rate, ECG, body temperature, Body Mass Index(BMI) and general clinical interrogation is finished by a chatbot named “LifeBot”. The primary components associated with this project are pulse sensor, Raspberry Pi 3B+ (processing unit), temperature sensor module sensor, utilizing Machine Learning (ML) calculation it automatically analyzes the accumulated information to propose prescription to the patient. After the patient is diagnosed and the disease is detected, the patient will be notified with the kind of medication he needs. If the problem is nominal, the patient will be suggested with a basic treatment and will be monitored regularly. If the problem is of major scale, the patient will be directed to the payment gateway where he will be asked to pay a nominal fee for appointment from doctors to continue his check-up .Ultimately, the final well-being report is displayed to the doctor on the User interface that is visible on PC/Laptop.

scholarly journals Health Monitoring System of Patient Using IoT

2020 ◽  
pp. 56-65
Author(s):  
G. Joga Rao ◽  
P. Karthik ◽  
G. Sai Sameer Kumar ◽  
N. Ajay ◽  
K. Anil Kumar ◽  
...  
Keyword(s):  
Monitoring System ◽  
Health Monitoring ◽  
Smart Home ◽  
Health Condition ◽  
Health State ◽  
Home Automation ◽  
Biomedical Data ◽  
Health Monitoring System ◽  
Paramedical Staff ◽  
Patient Health

Now a day’s IoT brings gadgets together and assumes a fundamental part in different methodologies like smart home automation, brilliant industries, smart environment, agricultural fields and patient health monitoring system and so on. One of the approaches is to monitor the health state of the patient and screen it to doctors or paramedical staff through the IoT, as it is hard to screen the patient for 24 hours. So here the patient health condition or status i.e. Pulse rate, Body Temperature, ECG and so on can be measured by utilizing the protruding sensors. These sensors are associated with the node mcu and mcp 3008, it gathers the information i.e. biomedical data from the sensors and the detected biomedical information can be transmitted to the server. The "Thingspeak" named cloud is utilized here to place the detected information into the server. From this server, the information can be envisioned to the specialists and other paramedical staff either by Thingspeak website or Thingview android application. This system also notifies if there is any change in patient parameters. In this way, this Health monitoring system diminishes the toil of specialists and paramedical staff to screen the patient for 24 hours and further reduces time and cost for support.

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 Collaborative Maze Game Using EEG for Paralyzed Patients

2021 ◽  
Vol 12 (6) ◽  
pp. 849-855
Author(s):  
Chang-yong Joo Et.al
Keyword(s):  
Body Movement ◽  
Self Esteem ◽  
The Body ◽  
Eeg Signal ◽  
Brain Wave ◽  
Mutual Cooperation ◽  
General Paralysis ◽  
Self Image ◽  
Paralyzed Patient ◽  
The Brain

The brain movement of a general paralysis patient is normal even if the nerve cells that connect the brain and muscles are damaged and the body movement is hindered. When these patients live alone and cannot perform daily activities, they lose the motivation to live, their brains become dull, and their self-esteem degrades. Therefore, a method should be developed such that these patients can perform brain exercises on their own. The development of a maze-finding game based on mutual cooperation using electroencephalography (EEG) for patients with general paralysis is described herein. Paralyzed Patient 1 can view an overview map and identify the path to a destination. When this is sent to Paralyzed Patient 2 through brain waves, direction indications appear on the screen viewed by Patient 2. Patient 2 verifies the signal conveyed by Patient 1 and controls the character in the perceived direction using brain wave signals. In this game, EGG data through the EPOC+ device of Emotiv Co. are collected, and the maze game implemented by the patient’s EEG signal can be played. Excitement and interest arise when two people collaborate compared with when they are playing games in solitude. This finding suggests that paralyzed patients can exercise their own brain without any assistance, enabling them to experience more enjoyment in life and improve their self-image compared with when they are collaborating and interacting with assistants.

scholarly journals IOT Based Paralysis Patient Health Care Monitoring System

2021 ◽  
Vol 23 (06) ◽  
pp. 431-437
Author(s):  
Ms.N. ReneeSegridReddiyar ◽  
◽  
S. Remina ◽  
S. Sabrin ◽  
M. Subhashini ◽  
...  
Keyword(s):  
Health Care ◽  
Monitoring System ◽  
Nursing Care ◽  
Muscle Function ◽  
The Body ◽  
Body Parts ◽  
Affected Area ◽  
Patient Health ◽  
Health Care Monitoring

We all know that the paralysis condition is a loss of muscle function in the body parts. It can affect any part of your body at any time, then probably you may feel pain in the affected area. Technical and Therapeutic innovations are there to improve the quality of life Our goal is to develop a device that should be easy to use and should be affordable which consists of a basic health care monitoring system with nursing care. We know that these people can’t able to convey their messages or needs. To overcome this, we come up with a system that helps these patients to display messages in a very simple motion. This device can be designed to be mounted on the finger or to be inbuilt in their clothes.

scholarly journals IoT Based Patient Health Monitoring System

2021 ◽  
Vol 9 (12) ◽  
pp. 2158-2162
Author(s):  
U. Sravan
Keyword(s):  
Body Temperature ◽  
Monitoring System ◽  
Health Monitoring ◽  
Health Condition ◽  
Heart Beat ◽  
Critical Values ◽  
Health Monitoring System ◽  
Oxygen Levels ◽  
Patient Health

Abstract: An IoT based health monitoring system records the patient’s heart beat, body temperature, oxygen levels of blood etc. It can also be used to inform the timing of medication and provides live monitoring of health condition of patient to the doctor available in his chamber. It also sends an SMS alert whenever the health parameter readings go beyond critical values. Keywords: Heart beat, Temperature, Oxygen Levels, Medication timing, SMS alert.

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