ECG Monitoring over Bluetooth: Data Compression and Transmission

B, Yu; Yang, Liuqing; Chong, Chia‐Chin

doi:10.1109/wcnc.2010.5506641

Cited by 20 publications

(9 citation statements)

References 7 publications

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“…regular or irregular. The period between two R peaks has duration of 0.6 to 1.2 seconds [7]. If the rhythm is irregular, it is generally associated with atrial flutter and a trial fibrillation.…”

Section: Classification Of Ecg Signalsmentioning

confidence: 99%

A Survey on different Compression Techniques for ECG Data Reduction

Sakshi¹,

Neeru²

2017

IJCA

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Electrocardiogram (ECG) is the technique that is used to record the electrical signal of the heart over a time interval by using the electrodes, positioned on a patient's body. The signals collected from the body needs to be processed and compressed before directing to monitoring center. Electrocardiogram (ECG) data compressions minimize the necessities of storage to generate a more proficient telecardiology system for the cardiac exploration and diagnosis. This paper focus on the evaluation of several compression schemes for ECG data compression and also provides the comparison of the various ECG compression techniques such as Turning Point, Delta Coding, AZTEC, CORTES, DCT etc. in terms of different performance metrics like Compression Ratio (CR), Percent Mean Square Difference (PRD) and Quality Score (QS).

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Section: Classification Of Ecg Signalsmentioning

confidence: 99%

A Survey on different Compression Techniques for ECG Data Reduction

Sakshi¹,

Neeru²

2017

IJCA

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“…In our comparisons, we use a DCT-based compression algorithm where DCT coefficients with magnitude smaller than a threshold are discarded. We choose this method mainly because it exhibits a better rate-distortion trade-off than using a wavelet transformation [13] and has practical implementation benefits as well [14]. Fig.…”

Section: Performance Evaluation Of Tans Schemes On Real Datasetsmentioning

confidence: 99%

“…Thus, relying on the arguments of [26] and [29], although the sampling rate is lower compared to the previously described CS method, the overall energy consumption tends to be higher and therefore it is not included in our comparisons. In our analysis, we assume that all schemes sample the same ECG signal, use a compression ration (CR) which results in a target PRD value of 10%, and use the same transmission block 2 The total energy consumption for each scheme is: (14) where and are the energy consumption of the sampling, compression and transmission stages, respectively. In addition, we assume that the energy consumption at the acquisition stage is approximately proportional to the sampling frequency, ignoring any leakage component.…”

Section: B Energy Comparison and Evaluationmentioning

confidence: 99%

Backward Adaptation for Power Efficient Sampling

Feizi

Goyal

Médard

2014

IEEE Trans. Signal Process.

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Advances in sampling and coding theory have contributed significantly towards lowering power consumption of resource-constrained devices, e.g. battery-operated sensor nodes, enabling them to operate for extended periods of time. In this paper, rate and energy efficiency of a recently proposed adaptive nonuniform sampling framework by Feizi et al., called Time-Stampless Adaptive Nonuniform Sampling (TANS), is examined and compared against state-of-the-art methods. TANS addresses one of the main limitations of nonuniform sampling schemes: sampling times do not need to be stored/transmitted since they can be computed using a function of previously taken samples. The sampling rate is adapted continuously with the aim of reducing the rate and therefore the energy consumption of the sampling process when the signal is varying slowly. Three TANS methods are proposed for different signal models and sampling requirements: i) TANS by polynomial extrapolation, which only assumes the third derivative of the signal is bounded but requires no other specific knowledge of the signal; ii) TANS by incremental variation, where the sampling time intervals are chosen from a lattice; and iii) TANS constrained to a finite set of sampling rates. Practical implementation details of TANS are discussed, and its rate and energy performance are compared with uniform sampling followed by a transformation-based compression, nonuniform sampling, and compressed sensing. Our results demonstrate that TANS provides significant improvements in terms of both the rate-distortion performance and the energy consumption compared against the other approaches.Index Terms-Nonuniform sampling, energy efficient acquisition schemes, compressed sensing, adaptive sampling for biomedical applications.

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“…Traditional narrow-band protocols, such as Medical Implant Communications Service MICS [4], Zigbee, ISM or Bluetooth [5] are hampered by high power consumption and low transmission data-rate. On the other hand, the Ultra wide-band (UWB) technology has been approved for use in WBANs [6] because of their extremely wide frequency band under low power consumption (EIRP † < −41.3 dBm).…”

Section: Introductionmentioning

confidence: 99%

New High-Rate Uwb Scheme for Wban-Based Healthcare Systems

Mohammadi¹,

Saadane²,

Aboutajdine³

2014

PIER B

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Abstract-Given the emphasis on increasing wireless network usage for healthcare application, e.g., Wireless Body Area Network (WBAN), the need for high-rate physical layer has become a genuine concern from research and industrial community. The use of the Ultra-Wideband (UWB) is looking especially bright for such systems given its lower energy consumption and performances towards frequency-selective channels. However, the Multi-Band-OFDM-based UWB technique has some inherent limitations as loss in spectral efficiency due to the use of Cyclic-Prefix (CP). In this paper, a new physical layer scheme for high-rate wireless body area networks based on MB-OFDM with Offset Quadrature Amplitude Modulation (OQAM) modulation is presented. The proposed MB-OFDM/OQAM can achieve high spectral and power efficiency than conventional MB-OFDM system. Moreover, the use of the CP Interval in the conventional MBOFDM removes efficiently the Inter-Symbols Interferences (ISI) but remains ineffective towards the Inter-Carriers Interferences (ICI) caused by the channel frequency offset (FO). The performances evaluation of the proposed technique will be carried-out in realistic UWB-WBANs channels with various scenarios, which will be also presented and studied herein.

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ECG Monitoring over Bluetooth: Data Compression and Transmission

Cited by 20 publications

References 7 publications

A Survey on different Compression Techniques for ECG Data Reduction

A Survey on different Compression Techniques for ECG Data Reduction

Backward Adaptation for Power Efficient Sampling

New High-Rate Uwb Scheme for Wban-Based Healthcare Systems

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