Cloud based Smart Healthcare Management System Using Blue Eyes Technology

Dhinakaran, K.; Nivetha, M.; Duraimurugan, N; Wise, D.C. Joy Winnie

doi:10.1109/icesc48915.2020.9155878

Cited by 11 publications

(2 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Author [8]: Authors have reported an effective cryptosystem aimed at securing the transmission of medical images in an Internet of Healthcare Things (IoHT) environment.The analysis part clearly proves that the sys-tem can be effectively used to encrypt medical images in IoHT framework.Author [9]: Healthcare monitoring framework based on the cloud environment and a big data analytics engine is proposed to precisely store and analyze healthcare data, and to improve the classification accuracy. The results show that the proposed model precisely handles heteroge-neous data and improves the accuracy of health condition classification and drug side effect predictions.Author [10]: Pro-poses a novel method that combines knowledge-graph-based and word-embedding-based similarity measures via word en-tropy.The experimental results show that the proposed method achieves significant improvements over other word similarity measures in terms of the correlation coefficient.Author [11]: This work tries to provide a better and more efficient solution for securing all the health care data that are stored on the cloud, protect health care data from unauthorized access from an unknown source.Author [12]: Presents IoT Device for patient to measure various parameters that include emotions, mood variations, blood pressure, heart rate, skin temperature, and electrocardiogram. Solution is proposed to automate all the patient monitoring activities through Blue Eyes Technology.…”

Section: A Research and Publicationmentioning

confidence: 99%

An Approach Towards Standardization of Ehr with Efficient Accessibility of Data on Demand: A Review

Minakshi Wanjari

2024

jes

View full text Add to dashboard Cite

Standardization of medical terminologies and the centralized electronic medical record (EMR) are the most addressed discussion in the healthcare industries. Patient master records and the treatment statistics records has wide spectrum and dynamic data structure. These records have high growth rate with huge volume over the period and which requires proper structured data base management system. Data science and the analytics could solve the problem of data management, but trust about data storage over the cloud may become major issue. These records may be archived for better storage management and could be replicated over multiple cloud or kept in a distributed manner for extended security. On other hand medical data generated through wearable medical devices or the portable devices used by home care patients may be connected to multiple cloud servers for better accessibility and security. Proposed system is to develop a generic medical record management system over multiple cloud and designing the Body Area Network (BAN) architecture connected to distributed cloud for data accessibility and security.

show abstract

Section: A Research and Publicationmentioning

confidence: 99%

An Approach Towards Standardization of Ehr with Efficient Accessibility of Data on Demand: A Review

Minakshi Wanjari

2024

jes

View full text Add to dashboard Cite

show abstract

“…In (Dhinakaran et. al, 2020), proposed an automated Patient Monitoring using Blue Eye Technology (BET) and Cloud Computing.…”

Section: Related Workmentioning

confidence: 99%

Patient Health Monitoring System Using Blue Eye Technology and IoT

Thakare¹,

Korde²

2020

Biosci. Biotech. Res. Comm

View full text Add to dashboard Cite

Technology has now advanced enough for us to sit in front of our personal computer that can feel and monitor human feelings known as "BLUE EYE TECHNOLOGY." The devices which are used in this technology can detect the emotional level of the human body, such as facial and voice recognition, etc. The equipment used in Blue Eye Technologies is capable of recognizing human movements, checks our personality, senses our presents, and begins to communicate with us. In today's world, HealthCare has become one of the essential things in our life. But, the traditional healthcare system faces various problems, especially in the COVID-19 pandemic. Different challenges are faced by the HealthCare domain like scarcity of HealthCare professionals in hospitals; very expensive treatment, lack of healthcare knowledge, and Manual monitoring of patient's health parameters. In this paper, a remote patient monitoring system is proposed which can monitor patients remotely using Blue Eye Technology and IoT. Doctors can monitor effectively patient's moods and emotions (such as sad, joyful, and surprised) by utilizing the Emotion Sensory System of Blue Eye Technology as well as extract Physiological information of the patients such as Blood Pressure, Heart Rate, Temperature, ECG, etc. This information is effectively used by the Doctors for diagnosis and proper treatment of patients.

show abstract

A Review on Scope of Distributed Cloud Environment in Healthcare Automation Security and Its Feasibility

Baig

Sonekar

2021

Advances in Intelligent Systems and Computing

View full text Add to dashboard Cite

Cloud based Smart Healthcare Management System Using Blue Eyes Technology

Cited by 11 publications

References 7 publications

An Approach Towards Standardization of Ehr with Efficient Accessibility of Data on Demand: A Review

An Approach Towards Standardization of Ehr with Efficient Accessibility of Data on Demand: A Review

Patient Health Monitoring System Using Blue Eye Technology and IoT

A Review on Scope of Distributed Cloud Environment in Healthcare Automation Security and Its Feasibility

Contact Info

Product

Resources

About