scholarly journals Real-Time Monitoring of Driver’s Biometrics to Prevent Multi-Vehicle Chain Collisions Caused by Impending Medical Emergencies

2018 ◽  
Vol 7 (3.6) ◽  
pp. 51
Author(s):  
K V.N. Kavitha ◽  
Kanishak Kesarwani ◽  
S M. Pranav ◽  
Tanish Noah
Keyword(s):  
Real Time ◽  
Low Cost ◽  
Medical Personnel ◽  
Work Place ◽  
Road Accidents ◽  
Smart Healthcare ◽  
Preventive Actions ◽  
Medical Emergencies ◽  
Healthcare Monitoring ◽  
Monitoring Devices

Smart healthcare systems are essentially going to become an inevitable part of our day to day activities. Sophisticated health monitoring devices will be used to provide a safer and less accident-prone society. Their use in active accident mitigation and management will extend, in the coming years, to not only our home atmosphere but will also include manufacturing, transportation, work-place and agricultural milieu. As a matter of fact, real time healthcare monitors have been introduced in some high-end, expensive luxury cars such as Mercedes-Benz and Tesla. The design proposed is a low-cost and affordable, continuous healthcare monitoring system which aims to extend the use Internet of Things (IoT) to vehicular systems. It is designed to detect anomalies in the driver’s health conditions and take preventive actions to prevent road accidents. These actions include steadily reducing the vehicle’s speed and ultimately stopping it. Simultaneously, an alarm or warning is relayed to the nearby vehicles of the impending emergency that has occurred, thus cautioning them of a possible accident. An emergency message is spontaneously relayed to the concerned medical personnel and to the emergency contacts–relatives of the driver. 

scholarly journals Investigation of an Ultra Wideband Noise Sensor for Health Monitoring

Sensors ◽  
2020 ◽  
Vol 20 (4) ◽  
pp. 1034
Author(s):  
Xuezhi Zeng ◽  
Joakim Robakowski ◽  
Mikael Persson ◽  
Albert Monteith ◽  
Andreas Fhager
Keyword(s):  
Low Cost ◽  
Medical Personnel ◽  
Medical Diagnostics ◽  
Ultra Wideband ◽  
Trauma Patients ◽  
Wideband Noise ◽  
Heartbeat Rate ◽  
Additional Support ◽  
Electrocardiogram Ecg ◽  
Monitoring Devices

Quick on-scene assessment and early intervention is the key to reduce the mortality of stroke and trauma patients, and it is highly desirable to develop ambulance-based diagnostic and monitoring devices in order to provide additional support to the medical personnel. We developed a compact and low cost ultra wideband noise sensor for medical diagnostics and vital sign monitoring in pre-hospital settings. In this work, we demonstrated the functionality of the sensor for respiration and heartbeat monitoring. In the test, metronome was used to manipulate the breathing pattern and the heartbeat rate reference was obtained with a commercial electrocardiogram (ECG) device. With seventeen tests performed for respiration rate detection, sixteen of them were successfully detected. The results also show that it is possible to detect the heartbeat rate accurately with the developed sensor.

scholarly journals IoT based on secure personal healthcare using RFID technology and steganography

2021 ◽  
Vol 11 (4) ◽  
pp. 3300
Author(s):  
Haider Ali Khan ◽  
Raed Abdulla ◽  
Sathish Kumar Selvaperumal ◽  
Ammar Bathich
Keyword(s):  
Real Time ◽  
Low Cost ◽  
Medical Model ◽  
Environmental Sensors ◽  
Rfid Technology ◽  
Time Data ◽  
Personal Healthcare ◽  
Smart Healthcare ◽  
Real Time Data ◽  
User Data

Internet of things (IoT) makes it attainable for connecting different various smart objects together with the internet. The evolutionary medical model towards medicine can be boosted by IoT with involving sensors such as environmental sensors inside the internal environment of a small room with a specific purpose of monitoring of person's health with a kind of assistance which can be remotely controlled. RF identification (RFID) technology is smart enough to provide personal healthcare providing part of the IoT physical layer through low-cost sensors. Recently researchers have shown more IoT applications in the health service department using RFID technology which also increases real-time data collection. IoT platform which is used in the following research is Blynk and RFID technology for the user's better health analyses and security purposes by developing a two-level secured platform to store the acquired data in the database using RFID and Steganography. Steganography technique is used to make the user data more secure than ever. There were certain privacy concerns which are resolved using this technique. Smart healthcare medical box is designed using SolidWorks health measuring sensors that have been used in the prototype to analyze real-time data.

scholarly journals Wireless Low Cost Patient Monitoring System

2021 ◽  
pp. 21-28
Author(s):  
M. Gnanathilaka Shofana M ◽  
S. Kavitha ◽  
A. Pavithra ◽  
Dr. V. Vijayarangan
Keyword(s):  
Real Time ◽  
Monitoring System ◽  
Patient Monitoring ◽  
Low Cost ◽  
Medical Personnel ◽  
Well Being ◽  
Physiological Signals ◽  
Old People ◽  
Medical Field ◽  
Patient Monitoring System

In this ameliorating vogue of medical field, the impending danger of pandemic had driven us into gloom. The doctors can’t monitor each and every patient by coming near to them at all time. This leads to inconvenience for patient and made hospital management to feel helplessness about the problem. Though Conventional PMS monitors the physiological signals constantly but failed in providing it to the medical personnel during emergencies in real time. Other issues with traditional PMS is that most are heavy and bulky machines. Hence we propose to develop a low cost, portable PMS which measures the physiological signals of the patient with minimal intervention and contactless, providing correct and reliable data at the same time. Thus, we proposed a portable real time device that obtains various biological signals from the patients using electronic sensor network.. The acquired signals are processed and displayed in OLED display. Apart from this the emergency signals are transmitted and received wirelessly to the medical professionals for speedy necessary action without the intervention of them self. The proposed PMS system could be connected to a internet in a wireless mode , so that the patients will be free to move while their physiological signals are monitored. Thus, the critical condition of the patient can be informed to doctors and they could be treated promptly if any emergency occurs. This is suitable for the critical care of patients suffering from COVID -19 and monitoring the well being of old people who are at home and need constant monitoring. This is why we call our device low cost Wireless Patient Monitoring System (WPMS).

scholarly journals Low Cost Health Monitoring Sytem Based on Internet Of Things Using Email Notification

2021 ◽  
Vol 3 (2) ◽  
pp. 45-52
Author(s):  
I Dewa Gede Hari Wisana ◽  
Bedjo Utomo ◽  
Farid Amrinsani ◽  
Era Purwanto
Keyword(s):  
Internet Of Things ◽  
Real Time ◽  
Health Monitoring ◽  
Low Cost ◽  
Piezoelectric Sensor ◽  
Medical Personnel ◽  
The Internet ◽  
Time Data ◽  
Module Design ◽  
The Internet Of Things

Monitoring activities are needed if there are symptoms of a disease that require quick action so that the patient's condition does not get worse, for that we need a system that can notify doctors so they can take action. The patient monitoring system in hospitals is generally still carried out conventionally, among others, nurses or doctors come to the patient's room to check on the progress of the patient's condition, this will be a problem, if the number of medical personnel and facilities is insufficient to monitor. Patients who need special attention for patient care, such as monitoring the patient's breathing rate. The use of the internet of things (IOT), as a device that can work without the help of people, can perform tasks and provide easier and real time data, so that they can access output directly. The purpose of this research is to design an inexpensive health monitoring tool based on the Internet of Things (Respiration Parameters) using a piezoelectric sensor and an ESP32 Wi-Fi module. From the results of the module design taken from 10 respondents, obtained that the average measurement high accuracy (17.76 + 0.61) and the average level of stability of the design has a magnitude of 0.4 so that it can be concluded that using a piezoelectric sensor in this series can obtain good accuracy. This the design can be used to monitor a person's respiration in real-time

scholarly journals Validation of Low-Cost Sensors in Measuring Real-Time PM10 Concentrations at Two Sites in Delhi National Capital Region

Sensors ◽  
2020 ◽  
Vol 20 (5) ◽  
pp. 1347 ◽  
Author(s):  
Ravi Sahu ◽  
Kuldeep Kumar Dixit ◽  
Suneeti Mishra ◽  
Purushottam Kumar ◽  
Ashutosh Kumar Shukla ◽  
...  
Keyword(s):  
Real Time ◽  
Rank Order ◽  
Low Cost ◽  
National Capital Region ◽  
Laser Scattering ◽  
Capital Region ◽  
National Capital ◽  
Research Grade ◽  
First Time ◽  
Monitoring Devices

In the present study, we assessed for the first time the performance of our custom-designed low-cost Particulate Matter (PM) monitoring devices (Atmos) in measuring PM10 concentrations. We examined the ambient PM10 levels during an intense measurement campaign at two sites in the Delhi National Capital Region (NCR), India. In this study, we validated the un-calibrated Atmos for measuring ambient PM10 concentrations at highly polluted monitoring sites. PM10 concentration from Atmos, containing laser scattering-based Plantower PM sensor, was comparable with that measured from research-grade scanning mobility particle sizers (SMPS) in combination with optical particle sizers (OPS) and aerodynamic particle sizers (APS). The un-calibrated sensors often provided accurate PM10 measurements, particularly in capturing real-time hourly concentrations variations. Quantile–Quantile plots (QQ-plots) for data collected during the selected deployment period showed positively skewed PM10 datasets. Strong Spearman’s rank-order correlations (rs = 0.64–0.83) between the studied instruments indicated the utility of low-cost Plantower PM sensors in measuring PM10 in the real-world context. Additionally, the heat map for weekly datasets demonstrated high R2 values, establishing the efficacy of PM sensor in PM10 measurement in highly polluted environmental conditions.

Security in Smart Healthcare System: A Comprehensive Survey

2017 ◽  
Vol 7 (10) ◽  
pp. 39
Author(s):  
P. Jeyadurga ◽  
S. Ebenezer Juliet ◽  
I. Joshua Selwyn ◽  
P. Sivanisha
Keyword(s):  
Secure Communication ◽  
Smart Cities ◽  
Healthcare Systems ◽  
Internet Security ◽  
Security Risk ◽  
System A ◽  
Smart Healthcare ◽  
Comprehensive Survey ◽  
Healthcare Monitoring ◽  
The Internet Of Things

The Internet of things (IoT) is one of the emerging technologies that brought revolution in many application domains such as smart cities, smart retails, healthcare monitoring and so on. As the physical objects are connected via internet, security risk may arise. This paper analyses the existing technologies and protocols that are designed by different authors to ensure the secure communication over internet. It additionally focuses on the advancement in healthcare systems while deploying IoT services.

LOW COST REAL TIME ROCKET TELEMETRY SYSTEM DESIGN

2019 ◽  
Author(s):  
Gabriel de Almeida Souza ◽  
Larissa Barbosa ◽  
Glênio Ramalho ◽  
Alexandre Zuquete Guarato
Keyword(s):  
System Design ◽  
Real Time ◽  
Low Cost ◽  
Telemetry System

Low-Cost High-Speed Techniques for Real-Time Simulation of Power Electronic Systems

2007 ◽  
Author(s):  
R. E. Crosbie ◽  
J. J. Zenor ◽  
R. Bednar ◽  
D. Word ◽  
N. G. Hingorani
Keyword(s):  
Real Time ◽  
High Speed ◽  
Low Cost ◽  
Electronic Systems ◽  
Power Electronic ◽  
Real Time Simulation ◽  
Time Simulation

scholarly journals Application of Deep Learning in Integrated Pest Management: A Real-Time System for Detection and Diagnosis of Oilseed Rape Pests

2019 ◽  
Vol 2019 ◽  
pp. 1-14 ◽  
Author(s):  
Yong He ◽  
Hong Zeng ◽  
Yangyang Fan ◽  
Shuaisheng Ji ◽  
Jianjian Wu
Keyword(s):  
Deep Learning ◽  
Integrated Pest Management ◽  
Pest Management ◽  
Real Time ◽  
Oilseed Rape ◽  
Data Augmentation ◽  
Low Cost ◽  
Response Speed ◽  
Original Model ◽  
Real Time System

In this paper, we proposed an approach to detect oilseed rape pests based on deep learning, which improves the mean average precision (mAP) to 77.14%; the result increased by 9.7% with the original model. We adopt this model to mobile platform to let every farmer able to use this program, which will diagnose pests in real time and provide suggestions on pest controlling. We designed an oilseed rape pest imaging database with 12 typical oilseed rape pests and compared the performance of five models, SSD w/Inception is chosen as the optimal model. Moreover, for the purpose of the high mAP, we have used data augmentation (DA) and added a dropout layer. The experiments are performed on the Android application we developed, and the result shows that our approach surpasses the original model obviously and is helpful for integrated pest management. This application has improved environmental adaptability, response speed, and accuracy by contrast with the past works and has the advantage of low cost and simple operation, which are suitable for the pest monitoring mission of drones and Internet of Things (IoT).

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