ARIHANT TECHNO SOLUTIONS

IoT Based IEEE PROJECTS- 2016-2017

ATS_IOT16_001 - IoT Healthcare Analytics: The Importance of Anomaly Detection
          Healthcare data is quite rich and often contains human survival related information. Analyzing healthcare data is of prime importance particularly considering the immense potential of saving human life and improving quality of life. Furthermore, IoT revolution has redefined modern health care systems and management. IoT offers its greatest promise to deliver excellent progress in healthcare domain. In this talk, proactive healthcare analytics specifically for cardiac disease prevention will be discussed. Anomaly detection plays a prominent role in healthcare analytics. In fact, the anomalous events are to be accurately detected with low false negative alarms often under high noise (low SNR) condition. An exemplary case of smartphone based cardiac anomaly detection will be presented..

ATS_IOT16_002 - Effective ways to use Internet of Things in the field of medical and smart health care
          The recent advancements in technology and the availability of the Internet make it possible to connect various devices that can communicate with each other and share data. The Internet of Things (IoT) is a new concept that allows users to connect various sensors and smart devices to collect real-time data from the environment. However, it has been observed that a comprehensive platform is still missing in the e-Health and m-Health architectures to use smartphone sensors to sense and transmit important data related to a patient's health. In this paper, our contribution is twofold. Firstly, we critically evaluate the existing literature, which discusses the effective ways to deploy IoT in the field of medical and smart health care. Secondly, we propose a new semantic model for patients' e-Health. The proposed model named as `k-Healthcare' makes use of 4 layers; the sensor layer, the network layer, the Internet layer and the services layer. All layers cooperate with each other effectively and efficiently to provide a platform for accessing patients' health data using smart phones.

ATS_IOT16_003 - A conceptual framework for IoT-based healthcare system using cloud computing
          Internet of Things (IoT) envisions a future in which anything/anyone/anyservice can be linked by means of appropriate information and communication technologies which will bring technological revolution in the fields of domestics, smart homes, healthcare systems, goods monitoring and logistics. This paper presents the applications of IoT and addresses some essential parameters and characteristics of each of the applications of IoT. In this paper, we have deeply explored the role of IoT in healthcare delivery and its technological aspects that make it a reality and examine the opportunities. A cloud based conceptual framework has been proposed which will be beneficial to the healthcare industry implementing IoT healthcare solutions.

ATS_IOT16_004 - The Internet of Things in Healthcare: Potential Applications and Challenges
          Exciting new applications of Internet of Things (IoT) technology are arising, particularly in healthcare, where the leveraging effects can significantly improve patients' well-being while alleviating the problem of scarce resources. But the hype around these applications far outpaces the reality. Furthermore, there is a real risk that these leveraging technologies will disassociate caregivers from patients, potentially resulting in a loss of caring. In this article, the authors review some of the most promising applications for IoT in healthcare and the significant challenges ahead.

ATS_IOT16_005 - IoT based smart healthcare kit
          The paper presents the design and implementation of an IOT-based health monitoring system for emergency medical services which can demonstrate collection, integration, and interoperation of IoT data flexibly which can provide support to emergency medical services like Intensive Care Units (ICU), using a INTEL GALILEO 2ND generation development board. The proposed model enables users to improve health related risks and reduce healthcare costs by collecting, recording, analyzing and sharing large data streams in real time and efficiently. The idea of this project came so to reduce the headache of patient to visit to doctor every time he need to check his blood pressure, heart beat rate, temperature etc. With the help of this proposal the time of both patients and doctors are saved and doctors can also help in emergency scenario as much as possible. The proposed outcome of the project is to give proper and efficient medical services to patients by connecting and collecting data information through health status monitors which would include patient's heart rate, blood pressure and ECG and sends an emergency alert to patient's doctor with his current status and full medical information.