Lost Sample Recovering of ECG Signals in e-Health Applications

Prieto‐Guerrero, Alfonso; Mailhes, Corinne; Castanié, F.

doi:10.1109/iembs.2007.4352215

Cited by 13 publications

(11 citation statements)

References 7 publications

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“…Such data corruption/loss can occur anytime and anywhere. The timeout of several ARQ (Automatic Repeat Request) procedures was shown to induce packet loss: 1 − 2% for GPRS, and 8% for the satellite [43]. To cope with that problem, TeSA devised a recovering method which hybridized Papoulis-Gerchberg (PG) algorithm and an Auto-Regressive (AR)-based reconstruction algorithm.…”

Section: Problem Statementmentioning

confidence: 99%

“…The PG algorithm performs well with a reduced number of missing samples, but its drawback lies in the long convergence time of its iterative process. Therefore another ECG missing sample reconstruction method was proposed, namely, an audio signal reconstruction method based on AR modeling [43]. This method is used to predict forward and backward signal samples.…”

Section: Problem Statementmentioning

confidence: 99%

See 1 more Smart Citation

Hybrid Satellite - Wireless Sensor Networks Architecture for Telemedicine Applications in the Context of Emergency Satellite Communications in Ku/Ka/Q/V Bands

Kacimi¹,

Pech²

2014

ICST Trans Mobile Comm Appl

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Thanks to the facilities offered by telecommunications, telemedicine today allows physicians and clinicians to access, monitor and diagnose patients remotely. Telemedicine includes several applications such as remote monitoring of chronically ill patients, monitoring people in their everyday lives to provide early detection and intervention for various types of diseases, computer-assisted physical rehabilitation in ambulatory settings, and assisted living for the elderly at home, as well as remote monitoring of injured people in a postdisaster situation. These new applications require a reliable, wireless communication link between the devices implanted in the patient's skin and a clinician. In this article, this issue is discussed and a list of performance criteria for the different communication links used are addressed, especially focusing on the satellite link. Then an adaptive air interface which is designed to meet the performance constraints of bidirectional satellite communication links in an emergency situation in Ku/Ka/Q/V bands where when strong channel impairments occur is described and analysed.

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Section: Problem Statementmentioning

confidence: 99%

Section: Problem Statementmentioning

confidence: 99%

Hybrid Satellite - Wireless Sensor Networks Architecture for Telemedicine Applications in the Context of Emergency Satellite Communications in Ku/Ka/Q/V Bands

Kacimi¹,

Pech²

2014

ICST Trans Mobile Comm Appl

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“…Despite the use of ANNs in the literature [ 37 ], the enhancement of ANNs through the Taguchi optimizer has never been attempted before. While many papers [ 38 , 39 ] have proposed an ECG signal reconstruction of missing samples, their methods are mainly based on multiple ECG leads that are linearly connected. To the best of our knowledge, no other paper has attempted the prediction of ECG using independent traces.…”

Section: Introductionmentioning

confidence: 99%

Smart ECG Biosensor Design with an Improved ANN Performance Based on the Taguchi Optimizer

et al. 2022

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This paper aims to design a smart biosensor to predict electrocardiogram (ECG) signals in a specific auscultation site from other ECG signals measured from other measurement sites. The proposed design is based on a hybrid architecture using the Artificial Neural Networks (ANNs) model and Taguchi optimizer to avoid the ANN issues related to hyperparameters and to improve its accuracy. The proposed approach aims to optimize the number and type of inputs to be considered for the ANN model. Indeed, different combinations are considered in order to find the optimal input combination for the best prediction quality. By identifying the factors that influence a model’s prediction and their degree of importance via the modified Taguchi optimizer, the developed biosensor improves the prediction accuracy of ECG signals collected from different auscultation sites compared to the ANN-based biosensor. Based on an actual database, the simulation results show that this improvement is significant; it can reach more than 94% accuracy.

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“…Although previous work has considered loss concealment as an option, e.g., (Theera-Umpon et al, 2008), (Prieto-Guerrero et al, 2007), it has done so without exploiting additional dimensions provided by the communication architecture. For example, (Theera-Umpon et al, 2008) considers that losses happen during a given interval, which could be a valid assumption considering that a data packet is likely to carry several samples.…”

Section: Introductionmentioning

confidence: 99%

NETWORK-AWARE BIOMEDICAL SIGNAL PROCESSING - Loss Concealment or Loss Awareness

Barros¹,

Aguiar

Lucani³

2012

Proceedings of the International Conference on Health Informatics

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The development of biomedical signal processing algorithms typically assumes that the data can be sampled at an uniform rate and without loss of samples. Although this is a valid assumption for Holter applications or clinical testing, these assumptions become questionable in the presence of remote monitoring of patients through inherently lossy communication networks. The task for the networking engineers has been to create better, more reliable protocols to avoid packet losses from affecting the signal processing algorithms. However, inherent constraints from resource-constrained devices and lossy networks used for remote monitoring make this objective infeasible in many situations. Given irreparable losses due to data transmission, this paper poses the following questions: (i) how would the current algorithms react to losses, and (ii) what alternatives are available to still guarantee reliable monitoring and detection of emergency events. For the latter, we consider two options: the use of current algorithms after a loss concealment stage, and the design of loss aware algorithms. We argue that a joint design of network protocols and signal processing algorithms is instrumental for providing reliable biomedical monitoring. We propose a simple, yet powerful model of the network under a variety of packet loss channels as well as data packetization mechanisms. Extensive numerical results are provided for addressing question (i), focusing on the sensitivity and positive predictivity of standard ECG algorithms under a variety of network scenarios. We use the MIT-BIH arrhythmia database and simple loss concealment mechanisms and show that even small percentages of packet losses can have a significant impact on a algorithm's performance.

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Lost Sample Recovering of ECG Signals in e-Health Applications

Cited by 13 publications

References 7 publications

Hybrid Satellite - Wireless Sensor Networks Architecture for Telemedicine Applications in the Context of Emergency Satellite Communications in Ku/Ka/Q/V Bands

Hybrid Satellite - Wireless Sensor Networks Architecture for Telemedicine Applications in the Context of Emergency Satellite Communications in Ku/Ka/Q/V Bands

Smart ECG Biosensor Design with an Improved ANN Performance Based on the Taguchi Optimizer

NETWORK-AWARE BIOMEDICAL SIGNAL PROCESSING - Loss Concealment or Loss Awareness

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