Pervasive embedded real time monitoring of EEG and SpO2

Cheriyan, Ajay M.; Kalbarczyk, Zbigniew; Iyer, Ravishankar K.; Jarvi, Albert; Gallagher, Tanya M.; Watkin, Kenneth L.

doi:10.4108/icst.pervasivehealth2009.6044

Cited by 7 publications

(2 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Cheriyan et al [10] present the design of an embedded system which is capable of tracking relevant bio-signals from the person in real time and facilitating a dependable decision making process that provides alerts for potential brain activity changes. The design focuses around the use of sensors and a processing element.…”

Section: Related Workmentioning

confidence: 99%

Web-based real-time remote monitoring for pervasive healthcare

Yuan

Herbert

2011

2011 IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops)

View full text Add to dashboard Cite

the goal of the CARA (Context-Aware Real-time Assistant) healthcare architecture is to enable improved healthcare through the intelligent use of wireless remote monitoring of patient vital signs, supplemented by rich contextual information. One of its applications currently being deployed is the remote live monitoring of a patient by a healthcare professional. The vital signs are monitored using a wireless BAN based on sensors that can monitor position in space, ECG, blood pressure, and blood oxygenation. A design goal of ubiquitous access means that all communications are performed using recent web technologies, thereby minimizing issues with firewalls and facilitating remote ease of access. The only tool required for this application is a web browser with the commonly-available Adobe Flash plug-in installed. Thus remote monitoring, independent of geographic location, is possible form any computer or suitable smartphone. Important aspects of this application include: inter-visibility between patient and caregiver; real-time interactive medical consultation; and replay, review and annotation of the remote consultation by the medical professional. The annotation of significant parts of the multi-modal monitored signals by the medical professional provides the basis for the automated intelligent analysis of the CARA system. The paper discusses the application in the context of the overall CARA healthcare architecture, and presents results of some experiments using the application.

show abstract

Section: Related Workmentioning

confidence: 99%

Web-based real-time remote monitoring for pervasive healthcare

Yuan

Herbert

2011

2011 IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops)

View full text Add to dashboard Cite

show abstract

“…Examples demonstrated by previous works include: (i) a combination of the spectral and correlation analysis blocks can be used to compute a coherence metric in detecting cognitive decline [10], (ii) a seizure detection scheme can be implemented by performing local variance computation using the mean analysis block [11], and (iii) as part of ECG analysis, combining QRS and correlation analysis blocks can detect irregularity in heart beats [12]. This flexibility in feature selection is provided by the Feature Selection and Aggregation block.…”

Section: Architectural Overviewmentioning

confidence: 99%

RMED: A reconfigurable architecture for embedded medical monitoring

Alemzadeh

Saleheen

Jin

et al. 2011

2011 IEEE/NIH Life Science Systems and Applications Workshop (LiSSA)

Self Cite

View full text Add to dashboard Cite

In this paper we propose a multi-parameter reconfigurable architecture framework for patient-specific medical monitoring. This architecture is mainly composed of a set of heterogeneous processing engines and flexible communication interfaces, which enable the run-time configuration of the architecture for optimal diagnosis of different diseases. The flexibility of the proposed framework is evaluated by demonstrating two different medical applications for monitoring brain and heart status on an FPGA-based hardware prototype. The evaluated epileptic seizure detection application gains a high detection performance with overall accuracy of 98.52% and sensitivity of 99.47%. For the cardiac ICU monitoring application, the experimental results for detecting abnormality of blood pressure and heart rate in selected patients show a high true positive rate of 94.74%. By applying algorithmic enhancements in the detection scheme, we even achieve early detection of abnormalities in blood pressure in the range of few minutes before standard ICU monitor alarms with a true positive rate of 64%. With a balanced mixture of flexibility, patient-specificity, and detection accuracy at small hardware footprint, the proposed architecture can be an attractive framework for embedded monitoring of a wide variety of medical conditions.

show abstract

A Soldier Health Monitoring System for Military Applications

Lim

Wang

et al. 2010

2010 International Conference on Body Sensor Networks

View full text Add to dashboard Cite

Pervasive embedded real time monitoring of EEG and SpO2

Cited by 7 publications

References 7 publications

Web-based real-time remote monitoring for pervasive healthcare

Web-based real-time remote monitoring for pervasive healthcare

RMED: A reconfigurable architecture for embedded medical monitoring

A Soldier Health Monitoring System for Military Applications

Contact Info

Product

Resources

About