Remote rehabilitation model based on BAN and cloud computing technology

Wang, Mingyu; Zeng, Qiang; Zhu, Weimo; Yang, Jiao; Wang, Qing; Weiyi, Qin; Xiang, Ding-Cheng; Minwei, Zhou; Tian, Yan; Chen, Hao; Liu, Jian; Li, Xiaoqian; HongDi, Wang; Li, Geng; Gao, Qiang

doi:10.1109/healthcom.2012.6379373

Cited by 5 publications

(1 citation statement)

References 9 publications

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“…The great advantage of the "Cloud Rehabilitation" is that information can he shared in real time and multiple users can access and share the same file [11]. For example, a rehabilitation session could be shared between consultants, therapists, and patients at the same time [12].…”

Section: Cloud Computing Applied To Rehabilitationmentioning

confidence: 99%

CRehab: A Cloud-based Framework for the Management of Rehabilitation Processes

Fardoun¹,

Cipres²,

Castillo³

et al. 2013

Proceedings of the ICTs for Improving Patients Rehabilitation Research Techniques

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this paper presents a conceptual cloud-based framework with virtual and augmented reality support named "CRehab" for the management of rehabilitation processes. Studies show that rehabilitation wards, staff, patients, and families need systems that tackle administration, personal communication, and patient motivation processes effectively. To this end, CRehab employs cloud capabilities to address the first two concerns. Patient motivation is encouraged by the deployment of virtual rehabilitation environments with exercises that stimulate the patient. The main aim is to create feasible architecture for use in multiple types of rehabilitation, regardless of diagnosis, environment, patient, or any other factors.

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Section: Cloud Computing Applied To Rehabilitationmentioning

confidence: 99%

CRehab: A Cloud-based Framework for the Management of Rehabilitation Processes

Fardoun¹,

Cipres²,

Castillo³

et al. 2013

Proceedings of the ICTs for Improving Patients Rehabilitation Research Techniques

View full text Add to dashboard Cite

show abstract

Cloudlet-enabled wireless body area networks (WBANs): a systematic review, architecture, and research directions for QoS improvement

Bhardwaj

Reyes

Upadhyay

et al. 2021

Int J Syst Assur Eng Manag

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On-line real time feature extraction of ECG signal: Recent advances & survey

Walke

Deshpande

2015

2015 International Conference on Information Processing (ICIP)

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Existing life care systems simply monitor human health and rely on a centralized server to store and process sensed data, leading to a high cost of system maintenance, yet with limited services and low performance. One of the important parameter in health Monitoring is ECG and Wireless ECG acquisition has emerged as a comfortable low-cost technology for continuous Cardiac Monitoring. The analysis of ECG is widely used for diagnosing many cardiac diseases, which are the main cause mortality in developed countries. One type of Cardiovascular Disease is cardiac arrhythmia which is characterized by irregular heartbeat intervals, atrial fibrillation when atriums exhibit rapid and irregular contractions. Another example of arrhythmia is premature ventricular contraction. The existing feature of Data Collection and analysis of ECG information requires lots of accuracy, efforts and are also immune to errors, unnecessary delays in real time information accessibility. Wireless ECG Sensors have been employed to monitor human health and provide life care services.. We present a scheme for ECG monitoring that processes the data by using Cloud computing in real time manner. Among the various techniques developed for ECG extraction Time Domain analysis, frequency domain analysis and wavelet transform are predominant techniques. It is also proposed to develop this system which is compatible with various Devices such as Desktop Computers, PDA and smart phones.

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Remote rehabilitation model based on BAN and cloud computing technology

Cited by 5 publications

References 9 publications

CRehab: A Cloud-based Framework for the Management of Rehabilitation Processes

CRehab: A Cloud-based Framework for the Management of Rehabilitation Processes

Cloudlet-enabled wireless body area networks (WBANs): a systematic review, architecture, and research directions for QoS improvement

On-line real time feature extraction of ECG signal: Recent advances & survey

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