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 ◽  
...  

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.

2017 ◽  
Vol 14 (3) ◽  
pp. 20161178-20161178 ◽  
Author(s):  
Long Chen ◽  
Xining Yang ◽  
Jianfeng Wu ◽  
Lingyan Fan

Author(s):  
Hemanth Kumar. R

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.


2021 ◽  
Vol 6 (2) ◽  
Author(s):  
Eduardo Pinto-Ferreira

The studies of ballistocardiography about the effect of cardiovascular activity in body motion raised the author interest in the research of the influence of body movements in the circulatory flow in venous and lymphatic vessels. These effects follow Sir Isaac Newton laws. With the body movement, the one-way valve structure of these vessels will cause a mobilization of venous blood and lymph to the proximal side. A model was built to demonstrate the effect of oscillatory movement in a liquid flow in a system of one-way valve. There was a rise of the liquid with difference in level that ranged from 9 cm up to 34 cm, depending on the amplitude and frequency. The model tried to mimic a segment of vein with its valve, and evaluate the effectiveness of oscillatory movements in the progression of the liquid, In a preliminary study, to assess the effect of oscillatory movements on leg swelling, this movements was applied in a clinical cases. There was regression of the oedema and circumference on the leg, by oscillatory movements, that was correlated with increase in lymphatic and venous drainage. Venous stasis is a predisposing factor of venous thromboembolism. How we extrapolate from the experimental model, the oscillatory movements of the legs improving venous circulation may contribute to the prophylaxis of venous thromboembolism. In conclusion, it is of interest to study its application in some situations of venous thromboembolism risk.


2021 ◽  
Vol 1 (1) ◽  
pp. 60-72
Author(s):  
Wira Hidayat Mohd Saad

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.


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