scholarly journals Towards the Design and Development of an Embedded System for Detecting Silent Aspiration

2018 ◽  
Vol 11 (3) ◽  
pp. 1603-1608
Author(s):  
Anitha G ◽  
Sneha N ◽  
Krishnaraj A. P.
Keyword(s):  
Embedded System ◽  
Pulse Rate ◽  
Neurological Disorders ◽  
Time Data ◽  
Stroke Patients ◽  
Alert System ◽  
Silent Aspiration ◽  
Electric Signals ◽  
Breath Pattern ◽  
Alarm Sounds

This design describes a mobile prototype for detecting silent aspiration in children, people with neurological disorders using various biosignals such the measurement of the respiratory rate, pulse rate and oxygen saturation. Pulmonary Aspiration is when food or other particles enter from the pharynx into the larynx, often leading to pneumonia or rarely, fatal asphyxiation. In some patients with dysphagia, silent aspiration occurs, where the aspirating patient does not show any sign such as coughing at all. It is common in stroke patients and infants with neurological disorders such as down syndrome and cerebral palsy. The prototype provides signals that can be displayed with NI-myDAQ (LabVIEW). The signals are acquired with the help of a prototype respiratory belt tied around the chest containing a piezo sensor that senses pressure sending electric signals that will help analyse the breath pattern of the patient. The prototype is fitted with a sensor for measuring the pulse rate of the patient through photoplethysmography. They are all connected to a primary Arduino Nano Microcontroller based on the ATmega328P. Housed in a portable container which also contains an LCD display that can display the real time data. The device has an alert system by means of an LED and a Buzzer, the LED signals whenever there’s a pressure and the alarm sounds when there is a gap in the respiratory movement of the patient due to aspiration.

Computer Intelligence in Healthcare

2013 ◽  
pp. 716-715 ◽  
Author(s):  
Pramit Ghosh ◽  
Debotosh Bhattacharjee ◽  
Mita Nasipuri ◽  
Dipak Kumar Basu
Keyword(s):  
Embedded System ◽  
Room Temperature ◽  
Cooling System ◽  
Low Cost ◽  
Environmental Parameters ◽  
Training Data ◽  
Data Sets ◽  
Air Conditioner ◽  
Time Data ◽  
Full Speed

Low cost solutions for the development of intelligent bio-medical devices that not only assist people to live in a better way but also assist physicians for better diagnosis are presented in this chapter. Two such devices are discussed here, which are helpful for prevention and diagnosis of diseases. Statistical analysis reveals that cold and fever are the main culprits for the loss of man-hours throughout the world, and early pathological investigation can reduce the vulnerability of disease and the sick period. To reduce this cold and fever problem a household cooling system controller, which is adaptive and intelligent in nature, is designed. It is able to control the speed of a household cooling fan or an air conditioner based on the real time data, namely room temperature, humidity, and time for which system is active, which are collected from environment. To control the speed in an adaptive and intelligent manner, an associative memory neural network (Kramer) has been used. This embedded system is able to learn from training set; i.e., the user can teach the system about his/her feelings through training data sets. When the system starts up, it allows the fan to run freely at full speed, and after certain interval, it takes the environmental parameters like room temperature, humidity, and time as inputs. After that, the system takes the decision and controls the speed of the fan.

Status Monitoring and Fault Diagnosis Network System Based on UPnP

2007 ◽  
Vol 353-358 ◽  
pp. 2632-2635
Author(s):  
Pei Yu Li ◽  
Da Peng Tan ◽  
Tao Qing Zhou ◽  
Bo Yu Lin
Keyword(s):  
Fault Diagnosis ◽  
Embedded System ◽  
Real Time ◽  
Data Storage ◽  
Network Architecture ◽  
Network System ◽  
Time Data ◽  
Status Monitoring ◽  
Self Recognition ◽  
Real Time Data

Aiming at some problems in the fields of industry monitoring technology (IMT) such as bad dynamic ability and poor versatility, this paper brought forward a kind of intelligent Status monitoring and Fault diagnosis Network System (SFNS) based on UPnP-Universal Plug and Play. The model for fault diagnosis network system was established according to characteristics and requirements of IMT network, and system network architecture was designed and realized by UPnP. Using embedded system technology, real-time data collection node, monitoring center node and data storage server were designed, and that supplies powerful real-time data support for SFNS. Industry fields experiments proved that this system can realize self recognition, seamless linkage and other self adapting ability, and can break through the limitation of real IP address to achieve real-time remote monitoring on line.

CO Pollution Warning System for Indoor Parking Area Using FPGA

2013 ◽  
Vol 2 (2) ◽  
pp. 64
Author(s):  
Prima Dewi Purnamasari ◽  
Evan G. Sumbayak ◽  
Vicky Dwi Kurniawan ◽  
RR. Wulan Apriliyanti
Keyword(s):  
Air Pollution ◽  
Response Time ◽  
Embedded System ◽  
User Satisfaction ◽  
Characteristic Curve ◽  
Warning System ◽  
Alert System ◽  
Common Cause ◽  
Scientific Nature ◽  
Potential Area

From some compounds used as parameters in air pollution-such as O3, Particulate Materials, CO, NO2, SO2 and Pb-CO is the most common cause of poisoning accidents. Indoor parking area is one sample of potential area for CO pollution. However, according to the scientific nature of CO-tasteless, colorless, and odorless-people exposed to CO are usually not aware that s/he exposed to dangerous levels of CO. This research aimed to make a prototype of an embedded system that can monitor air pollution, give an effective warning and it should be affordable. The prototype of CO air pollution alert system has been successfully built using FPGA Xilinx Spartan 3E as the major component. Sensor Hanwei MQ7 used in this prototype has been tested in a simulation box using cigarette smoke as CO pollutant and the reading result has met the characteristic curve in the datasheet. The system interface has met user satisfaction with MOS value 4.31 from 5 scales. Based on the response time testing, we conclude that FPGA is suitable to be used in a system that performs fast parallel processing based on logical actions from the input given.

scholarly journals Design and Simulation of Automatic Temperature Control and Alert System Based PIC16F887

2017 ◽  
Vol 2 (2) ◽  
pp. 77-85
Author(s):  
Jabbar Shaati Jahlool
Keyword(s):  
Embedded System ◽  
Temperature Control ◽  
Human Factor ◽  
Liquid Crystal Display ◽  
Control Unit ◽  
Alert System ◽  
Central Control Unit ◽  
Light Emitting ◽  
And Performance ◽  
Equivalent Program

In this research, the design and simulation of an automatic system for temperature control using embedded system in order to automatically control of multi appliances depend on the temperature value. The appliances will be controlled are ventilation, cooling, heating and alert. This is an order to avoid or reduce to human intervention and increase system reliability. An important feature of this automation process is to reduce or eliminate the possibility of relying on the human factor operator for industries, warehouses and laboratories, and to improve working and performance environments. The system in this paper used the microcontroller PIC16F887 as the central control unit, LM35 temperature sensor as a temperature source,16x2 liquid crystal display (LCD) as indicator to display the different system working status an addition to some of drivers, relay and light emitting diodes (LED) as indicators to display the corresponding working appliance driver. The implementation and simulation of the system work has been achieved by using Proteus professional software v8.0 and mikroc pro for pic v.6.6.1 software to write the equivalent program and generate. Hex file for system working.

scholarly journals Blood Pressure Post Range of Motion (ROM) Stroke Patients At Bougenville Room Mardi Waluyo Blitar Hospital

2014 ◽  
Vol 1 (2) ◽  
pp. 149-154
Author(s):  
Aldonna Mariana
Keyword(s):  
Blood Pressure ◽  
Data Collection ◽  
Range Of Motion ◽  
Research Design ◽  
Joint Stiffness ◽  
Sampling Technique ◽  
Time Data ◽  
Stroke Patients ◽  
Purposive Sampling ◽  
Monthly Total

Range Of Motion (ROM) is an action that can be perfomed on stroke patients to prevent muscle and joint stiffness. The purpose of this study was to describe blood pressure in stroke patients who received exercise Range Of Motion (ROM) in the RSD Mardi Waluyo Blitar. Method: Research design was descriptive design. The population in this study is that stroke patients treated in Bougenvile RSD Mardi Waluyo Blitar in 2013 as many as 590 and the average monthly total of 49 stroke patients. Research sample was 33 patients. Its choosed by  using purposive sampling technique. Data collection is done by measuring blood pressure and exercise to train Range Of Motion (ROM). Time data collection was done on April 1st until  26th , 2014. Result: The results showed that blood pressure in stroke patients after getting a training Range Of Motion (ROM) 39.4% (13 respondents) had increased, 30.3% (10 respondents) had decreased and consistent after getting a training Range Of Motion (ROM). Discussion: Recommendations from this study are expected to be more vigilant in monitoring stroke patients trained Range Of Motion (ROM). 

scholarly journals Neurogenic Dysphagia: A Systematic Review and Proposal of a Classification System

Neurology ◽  
2020 ◽  
pp. 10.1212/WNL.0000000000011350
Author(s):  
Tobias Warnecke ◽  
Bendix Labeit ◽  
Jens Schroeder ◽  
Alexander Reckels ◽  
Sigrid Ahring ◽  
...  
Keyword(s):  
Neurological Disorders ◽  
Neurological Diseases ◽  
Underlying Disease ◽  
Qualitative Synthesis ◽  
Neurogenic Dysphagia ◽  
Stroke Patients ◽  
Chi Square ◽  
Brainstem Stroke ◽  
Unclear Etiology

Objective:Introduction and validation of a phenotypic classification of neurogenic dysphagia based on flexible endoscopic evaluation of swallowing (FEES).Methods:A systematic literature review was conducted, searching MEDLINE from inception to 05/2020 for FEES findings in neurological diseases of interest. Based on a retrospective analysis of FEES-videos in neurological diseases and considering the results from the review, a classification of neurogenic dysphagia was developed distinguishing different phenotypes. The classification was validated using 1012 randomly selected FEES-videos of patients with various neurological disorders. Chi-square-tests were used to compare the distribution of dysphagia phenotypes between the underlying neurological disorders.Results:159 articles were identified of which 59 were included in the qualitative synthesis. Seven dysphagia phenotypes were identified: (1) “Premature bolus spillage” and (2) “delayed swallowing reflex” occurred mainly in stroke patients, (3) “predominance of residue in the valleculae” was most common in Parkinson's disease, (4) “predominance of residue in the piriform sinus” occurred only in myositis, motoneuron disease and brainstem stroke patients, (5) “pharyngolaryngeal movement disorder” was found in atypical Parkinsonian syndromes and stroke patients, (6) “fatigable swallowing weakness” was common in patients with myasthenia gravis, and (7) “complex disorder” with a heterogeneous dysphagia pattern was the leading mechanism in amyotrophic later sclerosis. The interrater reliability showed a strong agreement (kappa = 0.84).Conclusion:Neurogenic dysphagia is not a mere symptom, but a multi-etiological syndrome with different phenotypic patterns depending on the underlying disease. Dysphagia phenotypes can facilitate differential diagnosis in patients with dysphagia of unclear etiology.

Active advanced arousal system to alert and avoid the crepuscular animal based vehicle collision

2021 ◽  
pp. 1-14
Author(s):  
Yuvaraj Munian ◽  
M.E. Antonio Martinez-Molina ◽  
Miltiadis Alamaniotis
Keyword(s):  
Intelligent System ◽  
Image Features ◽  
Time Data ◽  
Alert System ◽  
Data Set ◽  
Vehicle Collision ◽  
Arousal System ◽  
Collision Mitigation ◽  
Human Animal ◽  
Research Domain

Animal Vehicle Collision (AVC) is relatively an evolving source of fatality resulting in the deficit of wildlife conservancy along with carnage. It’s a globally distressing and disturbing experience that causes monetary damage, injury, and human-animal mortality. Roadkill has always been atop the research domain and serendipitously provided heterogeneous solutions for collision mitigation and prevention. Despite the abundant solution availability, this research throws a new spotlight on wildlife-vehicle collision mitigation using highly efficient artificial intelligence during nighttime hours. This study focuses mainly on arousal mechanisms of the “Histogram of Oriented Gradients (HOG)” intelligent system with extracted thermography image features, which are then processed by a trained, convolutional neural network (1D-CNN). The above computer vision – deep learning-based alert system has an accuracy between 94%, and 96% on the arousal mechanisms with the empowered real-time data set utilization.

scholarly journals Vascular dementia: Clinical and neuroradiological correlation

2011 ◽  
Vol 64 (3-4) ◽  
pp. 152-156 ◽  
Author(s):  
Dusko Racic ◽  
Petar Slankamenac ◽  
Zoran Vujkovic ◽  
Sinisa Miljkovic ◽  
Vlado Djajic ◽  
...  
Keyword(s):  
Vascular Dementia ◽  
Neurological Disorders ◽  
Brain Lesions ◽  
Critical Threshold ◽  
Standard Protocol ◽  
Stroke Patients ◽  
Neuropsychological Examination ◽  
Clinical Centre ◽  
One Year

All stroke patients admitted to Banjaluka Clinical Centre during one year were evaluated by the standard protocol during the hospitalization and three months after the stroke. It included clinical, functional and neuropsychological examination and neuroimaging. Dementia was diagnosed according to the criteria of National Institute of Neurological Disorders and Stroke-Association Internationale pour la Recherche et l?Enseignement en Neurosciences. Demographic and clinical variables were examined. After the exclusion of the patients who died (n=139) and those who refused to be interviewed during the 3-month follow up (n=52) and those with pre-stroke dementia (n=22), a total of 273 (58.8%) patients underwent neuropsychological examination 3 months after the stroke. Fortynine (19.52%) of them met the criteria for vascular dementia. The predictors of vascular dementia were age, atrial fibrillation, cognitive and functional impairment on admission and functional outcome, subcortical lacunar infarctions, leukoaraiosis, multiple and bilateral brain lesions. Dementia is frequent after stroke and it cannot be determined by a single factor. A combination of several factors increases the critical threshold for cognitive decline.

scholarly journals To detect abnormal event at ATM system by using image processing based on IOT technologies

2018 ◽  
Vol 7 (3) ◽  
pp. 1000 ◽  
Author(s):  
Kande Archana ◽  
P Bhaskara Reddy
Keyword(s):  
Embedded System ◽  
Dc Motor ◽  
Vibration Sensor ◽  
Stepper Motor ◽  
Time Data ◽  
Police Station ◽  
High Security ◽  
Lcd Display ◽  
Door Lock ◽  
Lcd Displays

Now a day’s ATMs are equipped with money there is possibility of robberies. This paper proposes a framework which will provide high security in ATMs. The Prototype includes ARM controller, Vibration Sensor, GSM and GPS Technique, DC Motor, Stepper motor, Buzz-er, LCD Display, and Keil Tool. Whenever robbery occurs, Vibration sensor is used here which senses vibration produced from ATM machine. This system uses ARM controller based embedded system to process real time data collected using the vibration sensor. Once the vibration is sensed the beep sound will occur from the buzzer. DC Motor is used for closing the door of ATM.Stepper motor is used to leak the gas inside the ATM to bring the thief into unconscious stage. Camera is always in processing and sending video continuous to the PC and it will be saved in computer. RTC used to capture the robber occur time and sends the SMS and MMS to the nearby police station and corresponding bank through the GSM and GPS. Here LCD displays board using showing the output of the message continuously. This will prevent the robbery and the person involving in robbery can be easily caught. Here, Keil tools are used to implement the idea and results are obtained. keil tools is used for run the DC motor and stepper motor for automatic door lock and also leak the gas inside the ATM. By this system robberies will be stopped and the complaints cases also reduced maximally. Thus the proposed framework results are revealed that the framework can be providing high security to the ATM System's 

Sign in / Sign up

Export Citation Format

Share Document