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1.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 07 Issue: 03 | Mar 2020 www.irjet.net p-ISSN: 2395-0072 © 2020, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 1360 An IoT based Smart Medical System in Trains for Passengers AmrinMahmootha T A1, MeenatchiSundar N1, Sowmya E1, Suganya K1, ShiyamSundar R S2 1Final year, Department of Biomedical Engineering, Agni College of Technology, Anna University, Chennai, India 2Assistant Professor, Department of Biomedical Engineering, Agni College of Technology, Anna University, Chennai, India. ----------------------------------------------------------------------***--------------------------------------------------------------------- ABSTRACT- Among different modes of transportation, railway transportation offers excellent energy conservation, environmental protection and reduced travel time. Invariably, this mode of transportation plays a major role not only in the transportation of goods, but also of passengers. Even many technological developements arise in the field of railways: healthcare is still not in concern. This paper proposes a controller based technique to give first aid support to the emergency patient and the details will be transferred to the loco pilot by implementing this technique to save the life of emergency patient in travel. KEYWORDS: IOT, Microcontroller, Heartbeat Sensor, Respiratory Sensor, Ventilator Mechanism, CPR Mechanism, Arduino. I. INTRODUCTION Health is one of the global challenges for humanity. In the last decade the healthcare has drawn considerable amount of attention. The prime goal was to develop a reliable patient monitoring system so that the healthcare professionals can monitor the patients, who are either hospitalized or executing their normal daily life activities. Recently, the patient monitoring systems is one of the major advancements because of its improved technology. Currently, there is need for a modernized approach. In the traditional approach the healthcare professionals play the major role. They need to visit the patient’s ward for necessary diagnosis and advising. There are two basic problems associated with this approach. Fig.1. Heartbeat Sensor Fig.2. Respiration Sensor Firstly, the healthcare professionals must be present on site of the patient all the time and secondly, the patient remains admitted in a hospital, bedside biomedical instruments, for a period of time. In order to solve these two problems, the patients are given knowledge and information about disease diagnosis and prevention. Secondly, a reliable and readily available patient monitoring system (PMS) is required. In order to improve the above condition, we can make use of technology in a smarter way. II METHODOLOGY In our project, we designed IOT based smart medical system for patients who travel in train. This system is designed for emergency cases. The system is based on ventilator mechanism and CPR mechanism. It has two sections namely, engine section and compartment section. Compartment system performs signal acquisition and detection of abnormalities, it has IOT module to transfer patient data to engine section. Engine section is used as an alert system. A. COMPARTMENT SECTION: Fig.3. Compartment Section
2.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 07 Issue: 03 | Mar 2020 www.irjet.net p-ISSN: 2395-0072 © 2020, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 1361 1. Power Supply The potential transformer will step down the power supply voltage (0-230V) to (0-6V) level. Then the secondary of the potential transformer will be connected to the precision rectifier, which is constructed with the help of op–amp. The bridge rectifier produces a voltage output that is nearly twice that of the conventional full-wave circuit. 2. Microcontroller These systems provide sets of digital and analog input/output (I/O) pins that can interface to various expansion boards (termed shields) and other circuits. The boards feature serial communication interfaces, including Universal Serial Bus (USB) on some models, for loading programs from personal computers. For programming the microcontrollers, the Arduino project provides an integrated development environment (IDE) based on a programming language named Processing, which also supports the languages C and C++. 3. Wireless Sensor Network A Wireless Sensor Network (WSN) is by hundreds of small, low-cost nodes that are fitted with limitations in memory, energy, and processing capacity. . Network setups can be carried out without fixed infrastructure. Suitable for the non-reachable places such as over the sea, mountains, rural areas or deep forests. Flexible if there is random situation when additional workstation is needed.Implementation pricing is cheap. It avoids plenty of wiring.It might accommodate new devices at any time.It's flexible to undergo physical partitions. It can be accessed by using a centralized monitor. 4. IOT module In this module physical things embedded with electronics, software, sensors, and connectivity enabling data exchange. Basically, a little networked computer is attached to a thing, allowing information exchange to and from that thing. 5. Heart beat Sensor Heart beat sensor is designed to give digital output of heat beat when a finger is placed on the sensor. 6. Driver circuit The ULN2003 is a monolithic high voltage and high current Darlington transistor arrays These devices will handle numerous interface needs particularly those beyond the capabilities of standard logic buffers. B. ENGINE SECTION: Fig.4.Engine Section 1. LCD LCDs are based on Hitachi's HD44780 controller or other which are compatible with HD44580. LCDs supporting more than 80 characters make use of 2 HD4478 controllers 2. Buzzer In this buzzer is used as alarm system to notify the loco piolet. III PROPOSED SYSTEM In proposed system, two different sections namely compartment and pilot sections. In the compartment section, when an emergency situation occurs then there will first aid set available in the compartments. While turning on the setup, it able to monitor the heartbeat and respiratory level of the patients through respective sensors. If any value goes beyond threshold value then the controller will give assistive support by pre recorded Voice from the voice IC. When the respiratory level comes down then the controller will give command to turn on the ventilator mechanism to give breath support to the patient. Likewise when the heartbeat range goes down then the controller will activate the CPR mechanism. During this state the emergency message will be sent to the loco pilot through WSN module. In addition to that patient health status will be uploaded in the web server through IOT module. IV RESULTS AND DISCUSSIONS In the existing system, there is no new technique had been implemented till now to help the emergency patients in the train travel. Till now emergency wire pulling method is used to stop the train for emergency. But, by stopping train will increase the time to reach to the hospital. It will result in delay in process. Thus an automated electronic system for medical emergency condition during train travel is successfully achieved. This system provides preliminary
3.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 07 Issue: 03 | Mar 2020 www.irjet.net p-ISSN: 2395-0072 © 2020, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 1362 medical support for patients before reaching railway station for providing further medical treatment. V ACKNOWLEDGEMENT Apart from the efforts of us, the success of this project depends largely on the encouragement and guidelines of others. We take this opportunity to express our gratitude to our head of department Dr.Kayalvizhi M. and our project guide Mr. ShiyamSundar who had been instrumental in the successful completion of this project. VI REFERENCES [1]S. Alwakeel, B. Alhalabi, H. Aggoune and M. Alwakeel, "A Machine Learning Based WSN System for Autism Activity Recognition", 2015 IEEE 14th International Conference on Machine Learning and Applications (ICMLA), pp. 771 - 776, 2015. [2]C. Carlson, A. Suliman, P. Prakash, D. Thompson, S. Wang, B. Natarajan and S. Warren, "Bed-based instrumentation for unobtrusive sleep quality assessment in severely disabled autistic children", 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2016. [3]I. Goel and D. Kumar, "Design and Implementation of Android Based Wearable Smart Locator Band for People with Autism, Dementia, and Alzheimer", Advances in Electronics, vol. 2015, pp. 1-8, 2015. [4]L. Piccardi, B. Noris, O. Barbey, A. Billard, G. Schiavone, F. Keller and C. von Hofsten, "WearCam: A head mounted wireless camera for monitoring gaze attention and for the diagnosis of developmental disorders in young children", RO-MAN 2007 - The 16th IEEE International Symposium on Robot and Human Interactive Communication, 2007. [5]R. Sivalingam, A. Cherian, J. Fasching, N. Walczak, N. Bird, V. Morellas, B. Murphy, K. Cullen, K. Lim, G. Sapiro and N. Papanikolopoulos, "A multi-sensor visual tracking system for behavior monitoring of at-risk children", 2012 IEEE International Conference on Robotics and Automation, pp. 1345 - 1350, 2012. [6]Y. Lee and W. Chung, "Wireless sensor network based wearable smart shirt for ubiquitous health and activity monitoring", Sensors and Actuators B: Chemical, vol. 140, no. 2, pp. 390-395, 2009. [7]J. B. Wang et al., “Wearable Sensor And SMS Text- Messaging Prompts To Increase Physical Activity In Overweight And Obese Adult: A Randomised Control Trail,” pp. 18-23, 2014. [8]T. M. Hale, K. Jethwani, M. S. Kandola, F. Saldana and J. C. Kvedar, “ A Remote Medication Monitering System For Chronic Heart Failure Patients To Reduce Readmissions: A Two Arm Randomized Pilot Study., ”J.Med Internet Res., vol. 18, no. 5, p.e91, Apr. 2016. [9]x. Li, J. Chen, G. Zhao, and M. Pietikainen, “Remote heart rate measurement from face videos under realistic situations,” 2014, pp. 4264-4271. [10]M.-Z. Poh, D. J. McDuff, and R. W. Picard, “ Advancements In Non – Contact, Multiparameter Physiological Measurements Using A Webcam,” vol. 58, no. 1, pp. 7 – 11, 2011.
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