A Remote Epileptic Patient Monitoring (REPM) system is presented to sense epileptic seizure of a patient and to protect the patient' fall down. With the aid of telecommunication techniques, the system is capable enough to provide health care in remote places. Physiological sensors and Zigbee transceiver are the heart of the system to recognize patient's epileptic seizure. The epileptic seizure patients are supported by the system even in acute cases. The brilliant epilepsy recognition can be achieved by selected parameters of the patient. Generally according to neuro science epilepsy is of three categories (Motor, Sensory and Psychogenic seizures) Motor seizures can only get predicted as it is convulsive. Whereas Sensory and Psychogenic seizures cannot be observed even in seizure duration also. A sensory seizure is a type of simple partial seizure. The Sensory and Psychogenic seizures are assaults that may look like epileptic seizures, yet are not caused by unusual cerebrum electrical releases. They are an indication of mental misery. So I proposed a system to accurately recognize Motor seizures with the aid of wireless technology. Utilizing that pack we can anticipate the patient who may fall in danger. The REPM will be reasonable, distinguishes the variations and additionally alerts by a SMS to the respective individual for the patient's life saving purpose. To realize all the above strategy I have used Temperature sensor, Heart beat sensor, Blood pressure, MEMS and Zigbee module utilizing Arduino.
Due to enormous growth in explosives-based terrorism across the globe, the research on detection of explosives assumed unprecedented significance. It is more so in the wake of 9/11 and more recent incidents. There is no single solution for the menace of terrorism. One of the solutions is to detect explosives early and build counterintelligence to combat the man-made campaign. However, it is a challenging task to detect trace explosives due to low vapour pressure, increasing permutations in composition, avenues for deployment, and concealment. Many trace explosive detection systems came into existence. They include sensor based detection, Gas Chromatography (GC), Mass Spectrometry (MS), and Mobility Spectrometry (MS). These techniques need devices that are expensive, bulky and with operating procedures that are time taking. Deploying such devices in strategic areas is inadequate as the large scale usage of them is not possible. Therefore it is indispensable to have small inexpensive sensors, which are sensitive and selective, deployed in large scale. Nano sensor technology when leveraged to form a massive network has potential for detecting trace explosives. As a step toward the solution, we presented a methodology with Wireless Nano Sensor Network (WNSN) implemented using NS2 for simulation study of trace detection of explosives. We proposed an algorithm named Nano Trace Explosive Detection (NTED) to achieve this. As there was a plethora of explosives materials, we preferred the two most common explosives named TNT and RDX as case study. Our results revealed the significance and potential of WNSN for protecting people and properties from terror attacks.
The purpose of this paper is to create a sensor based multilevel parking system which will assist the vehicle to directly proceed to the desired place or to the nearest parking location. As the vehicle population is increasing in our country the parking facilities for the vehicles have become troublesome. Due to this the parking arrangements and layout in huge buildings need to be improved. Thus, this system plays an important role in the smooth functioning of parking of vehicles by eliminating human errors which lead to accidents and ensuring the vehicle to reach its destination space without wastage of time and congestions. The system consists of a controller Arduino Mega 2560 which will receive the vacancy data from the IR sensor of the various levels once a human input is been given to the system. The data of vacancies will be displayed on the LCD and the system will check for nearest vacant area based on the algorithm to the destination and guide them to the available space to park. The system will also determine the parking time based on the entry and exit of the vehicle and the person will be charged accordingly.
Epilepsy-Abnormal behaviors (neuro disorder) of a patient.The epileptic seizure patient need an ongoing frame work. It must support in acute cases. The brilliant epilepsy recognition and ready framework is a propelled innovation by which an electronic device is introduced. Utilizing that pack, the life of the individual who is truly affecting with the condition can be anticipated. As per World Health Organization (WHO), epilepsy is a standout amongst the most well-known essential sicknesses of the focal sensory system around the world [1], which is exasperated by the sudden variable that portrays the event of an epileptic occasion. In this manner, the capacity to recognize scene preceding its beginning is introduced as a relief variable to the upsetting effects that emerge from this situation [2]. The casing will be tolerable, confirms the condition and also alerts by a SMS to the the specialist in question for the life of the patient. To realize all the above plan, mainly utilized four modules: scaled down scale controller, KEIL module, ARDUINO module and GSM module.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.