Multiagent home telecare platform for patients with cardiac diseases

Traver, Vicente; Monton, Eduardo; Bayo, J; García, José Manuel Sánchez; Hernández, José Carlos Rodríguez; Guillen, Sergio

doi:10.1109/cic.2003.1291104

Cited by 9 publications

(5 citation statements)

References 1 publication

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“…-Information-retrieval-agents (InfReA) act as an interface between external data gathering applications. These external applications could range from basic web based questionnaires to complex telecare systems with several biometrical sensors [16]. The use of these intermediate agents makes easier the adaptation of system to improvements or new environments.…”

Section: Multiagent Systemmentioning

confidence: 99%

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A Multiagent System Proposal for 30 Day Readmission Problem Management

Lemus

Montañana

Pons

et al. 2015

Agent and Multi-Agent Systems: Technologies and Applications

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Thirty day readmission rate is an important quality estimator for hospitals. Confident tools that forecast this risk for each patient before hospital discharge are needed by medical staff in order to delay the discharge and to plan additional home care interventions. This paper presents a proposal for a multi agent system that will evaluate this risk by integrating information from each patient and historical data from local and remote medical histories. This systems will not only help with the hospital discharge decision, but it will integrate a basic telecare system in order to reduce readmissions and increment patient quality of life by detecting problems arisen after hospital discharge.

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Section: Multiagent Systemmentioning

confidence: 99%

“…Medical staff will be responsible of the definition of alarm fire rules and for this task a tool has be developed or adapted from related work [16].…”

Section: The Monitoring Scenariomentioning

confidence: 99%

A Multiagent System Proposal for 30 Day Readmission Problem Management

Lemus

Montañana

Pons

et al. 2015

Agent and Multi-Agent Systems: Technologies and Applications

View full text Add to dashboard Cite

show abstract

“…Telemedicine is defined as that method that uses telecommunication along with information technology for the provision of health care from a distance. This method has helped conquer several hurdles like distance barriers and improved access to these medical services that were initially not within easy reach for communities belonging to the distant rural [2]. Telemedicine is considered the best in the healing of a brain tumour.…”

Section: Introductionmentioning

confidence: 99%

Hybrid Robust Image Steganography approach for the secure transmission of biomedical images in Cloud

Arunkumar¹,

Subramaniyaswamy²,

Ravi³

2019

EAI Endorsed Trans Perv Health Tech

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INTRODUCTION: A rich patient may reside in their home and may prefer to take treatment with all the medical appliances inside the premise. A patient may take treatment in the less specialized hospital, which may be taking a suggestion from a specialist working in a specialized center. In such a scenario, bio-medical images need to be transmitted over the public network. Bio-medical images sent in plain form suffer from confidentiality and integrity problem.OBJECTIVES: To overcome the above problem, medical records are always hidden in the cover image so that others do not know what is being sent.METHODS: In our proposed scheme, the chosen cover image gets divided into the following three planes, namely: R plane, G plane, and B plane. The co-occurrence matrix is computed for each plane by dividing it into 16 x 16 pixels block and then the embedding map is generated from it. The biomedical image is also divided into 8 x 8 pixels block and is hidden into the chosen cover image block using the embedding map. Both cover image blocks and secret image blocks are transformed by RIWT. R matrix of QR decomposition of the cover image and secret image blocks are used in embedding At the end of the embedding phase. These three planes are merged into an RGB image to produce a stego image.RESULTS: To assess the performance of our scheme, parameters like imperceptibility, robustness, and security are considered. With respect to imperceptibility, PSNR values of the stego images are over 50. With respect to robustness, average NCC values between the original secret and the attacked secret is 0.94. With respect to security, stego image cannot be detected easily if it has any secret.CONCLUSION: From the experimental results, our scheme is proved to be better with respect to these three selected parameters.

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“…Computer-based emergency healthcare systems are expanding in order to support geographically isolated areas. During the recent past, telemedicine platforms proved significant tools for the improvement of patient treatment in remote areas [2], [6], reducing transport, accommodation, and medical-personnel-related costs [3], and enabling a full time, 24 × 7 patient monitoring [8], [7]. Health monitoring may be delivered not only in a hospital environment but at home as well, through modern homecare telemonitoring systems, providing better possibilities for managing chronic care.…”

Section: Introductionmentioning

confidence: 99%

ECG Steganography based privacy protection of medical datas for telemedicine application

Joseph¹

2014

IOSRJDMS

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Over 20 million people worldwide have abnormal electrocardiogram (ECG) signals, i.e., arrhythmias, each year. Most of the cardiac patients are elders.And if they increasingly move to nursing homes, it is a necessary tendency to reduce the medical labor cost by deploying self-organized wireless cardiacmonitoring hardware/ software systems in an area with a radius of hundreds of feet. Such medical information networks could allow the doctors to immediately capture the arrhythmia events of any patient without leaving their offices. In this paper, a wavelet based steganography technique has been introduced which combines encryption and LSB embedding technique to protect patient confidential data.Huge amount of ECG signal collected by Body Sensor Networks (BSNs) from remote patients at homes will be transmitted along with other physiological readings such as blood pressure, temperature, glucose level etc. and diagnosed by those remote patient monitoring systems. An added benefit is the freedom of movement for patients due to the wireless networking technologies. To evaluate the effectiveness of the proposed technique on the ECG signal, distortion measurement metrics, the Percentage Residual Difference (PRD) has been used.

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Multiagent home telecare platform for patients with cardiac diseases

Cited by 9 publications

References 1 publication

A Multiagent System Proposal for 30 Day Readmission Problem Management

A Multiagent System Proposal for 30 Day Readmission Problem Management

Hybrid Robust Image Steganography approach for the secure transmission of biomedical images in Cloud

ECG Steganography based privacy protection of medical datas for telemedicine application

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