e-SURAKSHAK: A Cyber-Physical Healthcare System with Service Oriented Architecture

Rao, I. H.; Amir, Nour Ali Abdul; Dagale, Haresh; Kuri, Joy

doi:10.1109/ised.2012.66

Cited by 11 publications

(6 citation statements)

References 15 publications

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“…Furthermore, Rao et al [ 16 ] showed e-SURAKSHAK, which was a novel cyber-physical healthcare system with service oriented architecture. The authors developed their own monitoring system that allowed measuring body temperature, heart rate, oxygen saturation level, and noninvasive blood pressure measurement.…”

Section: Related Workmentioning

confidence: 99%

Green Communication for Tracking Heart Rate with Smartbands

González-Landero¹,

García‐Magariño

Lacuesta

et al. 2018

Sensors

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The trend of using wearables for healthcare is steeply increasing nowadays, and, consequently, in the market, there are several gadgets that measure several body features. In addition, the mixed use between smartphones and wearables has motivated research like the current one. The main goal of this work is to reduce the amount of times that a certain smartband (SB) measures the heart rate (HR) in order to save energy in communications without significantly reducing the utility of the application. This work has used an SB Sony 2 for measuring heart rate, Fit API for storing data and Android for managing data. The current approach has been assessed with data from HR sensors collected for more than three months. Once all HR measures were collected, then the current approach detected hourly ranges whose heart rate were higher than normal. The hourly ranges allowed for estimating the time periods of weeks that the user could be at potential risk for measuring frequently in these (60 times per hour) ranges. Out of these ranges, the measurement frequency was lower (six times per hour). If SB measures an unusual heart rate, the app warns the user so they are aware of the risk and can act accordingly. We analyzed two cases and we conclude that energy consumption was reduced in 83.57% in communications when using training of several weeks. In addition, a prediction per day was made using data of 20 users. On average, tests obtained 63.04% of accuracy in this experimentation using the training over the data of one day for each user.

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Section: Related Workmentioning

confidence: 99%

Green Communication for Tracking Heart Rate with Smartbands

González-Landero¹,

García‐Magariño

Lacuesta

et al. 2018

Sensors

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“…Rao et al [ 32 ] presented “e-SURAKSHAK”, a health care management system that sense vital health parameters. The sensed health parameters are communicated to a centralized electronic database wirelessly.…”

Section: Revised Soa Applicationsmentioning

confidence: 99%

Applications Based on Service-Oriented Architecture (SOA) in the Field of Home Healthcare

Avila

Sanmartin

Molinares

et al. 2017

Sensors

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This article makes a literature review of applications developed in the health industry which are focused on patient care from home and implement a service-oriented (SOA) design in architecture. Throughout this work, the applicability of the concept of Internet of Things (IoT) in the field of telemedicine and health care in general is evaluated. It also performs an introduction to the concept of SOA and its main features, making a small emphasis on safety aspects. As a central theme, the description of different solutions that can be found in the health industry is developed, especially those whose goal is health care at home; the main component of these solutions are body sensor networks. Finally, an analysis of the literature from the perspectives of functionalities, security implementation and semantic interoperability is made to have a better understanding of what has been done and which are probable research paths to be studied in the future.

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“…Computer parts are becoming increasingly more high-capacity at lower power consumption and smaller form-factors. As a result, the CPS is also becoming more and more demanding in the fields of aerospace [5,10], defense [11,12], energy systems [13,14], healthcare [3,[15][16][17][18], transportation [19][20][21][22][23], and others [24][25][26].…”

Section: What Is Cps?mentioning

confidence: 99%

Robust Cyber–Physical Systems: Concept, models, and implementation

Lü

Vasilakos

et al. 2016

Future Generation Computer Systems

152

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In this paper we comprehensively survey the concept and strategies for building a resilient and integrated cyber-physical system (CPS). Here resilience refers to a 3S-oriented design, that is, stability, security, and systematicness: Stability means the CPS can achieve a stable sensing-actuation close-loop control even though the inputs (sensing data) have noise or attacks; Security means that the system can overcome the cyber-physical interaction attacks; and Systematicness means that the system has a seamless integration of sensors and actuators. We will also explain the CPS modeling issues since they serve as the basics of 3S design. We will use two detailed examples from our achieved projects to explain how to achieve a robust, systematic CPS design: Case study 1 is on the design of a rehabilitation system with cyber (sensors) and physical (robots) integration. Case Study 2 is on the implantable medical device design. It illustrates the nature of CPS security principle. The dominant feature of this survey is that it has both principle discussions and practical cyber-physical coupling design. 1

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e-SURAKSHAK: A Cyber-Physical Healthcare System with Service Oriented Architecture

Cited by 11 publications

References 15 publications

Green Communication for Tracking Heart Rate with Smartbands

Green Communication for Tracking Heart Rate with Smartbands

Applications Based on Service-Oriented Architecture (SOA) in the Field of Home Healthcare

Robust Cyber–Physical Systems: Concept, models, and implementation

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