scholarly journals Probing consciousness in a sensory-disconnected paralyzed patient

Brain Injury ◽  
2017 ◽  
Vol 31 (10) ◽  
pp. 1398-1403 ◽  
Author(s):  
Benjamin Rohaut ◽  
Federico Raimondo ◽  
Damien Galanaud ◽  
Mélanie Valente ◽  
Jacobo Diego Sitt ◽  
...  
Keyword(s):  
Paralyzed Patient

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 Design and implementation of monitoring system for paralysis patient using IoT

2021 ◽  
Vol 4 (2) ◽  
pp. 10
Author(s):  
Hira Beenish ◽  
Fakeha Nasar ◽  
Ehsan Sheikh ◽  
Muhammad Fahad
Keyword(s):  
Health Care ◽  
Internet Of Things ◽  
Health Care Systems ◽  
Finger Movement ◽  
Design And Implementation ◽  
Leading Role ◽  
Patient Will ◽  
Care Systems ◽  
Paralyzed Patient ◽  
Modern Era

Internet of things represents a catch line of smart applications. At the same time it plays a leading role in the health care systems, as it provides the connectivity of the distant patients, who are not able to express their concerns.  In this modern era there are a lot of technologies that are being used in different healthcare fields for paralyzed people. This paper proposed a model for paralyzed patient by considering Arduino with the integration of gyro sensors for the patient hand and finger movement. Patient can easily be connected with this device by sending his message to caretaker only by moving their hands into respective directions, or they can send their message by moving their fingers and feet. Through this device paralyzed patient will be able to convey their messages to caretakers, so they can assist the patient. This system will enhance the medical care to those patients who are even not able to convey their message. 

scholarly journals Eye Blink Detection System for Paralyzed Patients

2020 ◽  
Vol 8 (6) ◽  
pp. 333-336
Keyword(s):  
Motor Neurons ◽  
Detection System ◽  
Brain Wave ◽  
Eye Blink ◽  
Video Oculography ◽  
Incurable Disease ◽  
Blink Detection ◽  
Wave Technique ◽  
Paralyzed Patient ◽  
Visual Technologies

Paralysis of an human being is caused due to the degeneration of motor neurons which weakens the muscle, so that it does not allow patient to move, speak, breathe , and loss in the voluntary actions. It is an incurable disease. To understand the feelings of a paralyzed patients Brain wave technique and Electro-oculography techniques were used. These techniques are afflictive, discomfortable and leads to unconsciousness of the paralyzed patient. The real time video oculography system fills the communication gap between the patient and the world. Video Oculography (VOG) is video-based method of measuring the vertical, torsional and horizontal position components of both the eye blinks with the help of small cameras placed in the head-mounted mask .This paper presents different visual technologies, such as eye blink detection, eye center localization and conversion of the eye blink to speech. The video oculography could achieve accuracy of 0.968.

scholarly journals True heterotopic bone in the paralyzed patient

1981 ◽  
Vol 7 (1) ◽  
pp. 21-25 ◽  
Author(s):  
Caroline E. Blane ◽  
Inder Perkash
Keyword(s):  
Heterotopic Bone ◽  
Paralyzed Patient

Mannequin system for the self-training of nurses in the changing of clothes

Kybernetes ◽  
2016 ◽  
Vol 45 (5) ◽  
pp. 839-852 ◽  
Author(s):  
Taiki Ogata ◽  
Ayanori Nagata ◽  
Zhifeng Huang ◽  
Takahiro Katayama ◽  
Masako Kanai-Pak ◽  
...  
Keyword(s):  
Nursing Students ◽  
Degrees Of Freedom ◽  
External Rotation ◽  
Content Type ◽  
Left Elbow ◽  
Complete Paralysis ◽  
Teachers And Students ◽  
Paralyzed Patient ◽  
The Difference ◽  
Nursing Teachers

Purpose – For self-training of nursing students, this paper developed a mannequin to simulate and measure the movement of a patient’s arms while nurses changed the patient’s clothes on a bed. In addition, using the mannequin the purpose of this paper is to determine the difference in the handling of a patient’s arms between nursing teachers and students. Design/methodology/approach – The target patient was an old man with complete paralysis. Three-degrees-of-freedom (DOF) shoulder joints and one-DOF elbow joints were applied to the mannequin. The angles of all joints were measured using a potentiometer, and those angles were transmitted to a computer via Bluetooth. Findings – In a preliminary experiment, the two nursing teachers confirmed that the mannequin arms simulated the motion of the arms of a paralyzed patient. In the experiment, two teachers and six students changed the clothes of the mannequin. The average joint angle of the left elbow and the moving frequency of the left elbow, right shoulder adduction/abduction and right shoulder internal/external rotation were lower in the case of teachers dressing the mannequin than when students were dressing it. Originality/value – The proposed system can simulate a completely paralyzed patient that nursing students would normally be almost unable to train with. Additionally, the proposed approach can reveal differences between skilled and non-skilled people in the treatment of a patient’s body.

Assistance for Paralyzed Patient Using Eye Motion Detection

2018 ◽  
Author(s):  
Milan Pandey ◽  
Kushal Chaudhari ◽  
Rajnish Kumar ◽  
Anoop Shinde ◽  
Divyanshu Totla ◽  
...  
Keyword(s):  
Motion Detection ◽  
Eye Motion ◽  
Paralyzed Patient

scholarly journals Human versus Computer Controlled Selection of Ventilator Settings: An Evaluation of Adaptive Support Ventilation and Mid-Frequency Ventilation

2012 ◽  
Vol 2012 ◽  
pp. 1-8
Author(s):  
Eduardo Mireles-Cabodevila ◽  
Enrique Diaz-Guzman ◽  
Alejandro C. Arroliga ◽  
Robert L. Chatburn
Keyword(s):  
Minute Ventilation ◽  
Computer Algorithms ◽  
Adaptive Support Ventilation ◽  
Support Ventilation ◽  
Clinical Scenarios ◽  
Frequency Ventilation ◽  
Paralyzed Patient ◽  
Adaptive Support ◽  
Computer Controlled ◽  
Ventilator Settings

Background. There are modes of mechanical ventilation that can select ventilator settings with computer controlled algorithms (targeting schemes). Two examples are adaptive support ventilation (ASV) and mid-frequency ventilation (MFV). We studied how different clinician-chosen ventilator settings are from these computer algorithms under different scenarios.Methods. A survey of critical care clinicians provided reference ventilator settings for a 70 kg paralyzed patient in five clinical/physiological scenarios. The survey-derived values for minute ventilation and minute alveolar ventilation were used as goals for ASV and MFV, respectively. A lung simulator programmed with each scenario’s respiratory system characteristics was ventilated using the clinician, ASV, and MFV settings.Results. Tidal volumes ranged from 6.1 to 8.3 mL/kg for the clinician, 6.7 to 11.9 mL/kg for ASV, and 3.5 to 9.9 mL/kg for MFV. Inspiratory pressures were lower for ASV and MFV. Clinician-selected tidal volumes were similar to the ASV settings for all scenarios except for asthma, in which the tidal volumes were larger for ASV and MFV. MFV delivered the same alveolar minute ventilation with higher end expiratory and lower end inspiratory volumes.Conclusions. There are differences and similarities among initial ventilator settings selected by humans and computers for various clinical scenarios. The ventilation outcomes are the result of the lung physiological characteristics and their interaction with the targeting scheme.

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