Integrated Data Compression and Pulse Rate Extraction Scheme Using Differential Coding for Wireless PPG Monitoring Devices

Reddy, Gangireddy Narendra Kumar; Manikandan, M. Sabarimalai; Murty, N. V. L. Narasimha

doi:10.1109/iciinfs.2018.8721314

Cited by 13 publications

(10 citation statements)

References 18 publications

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Section: Motivation For the Present Workmentioning

confidence: 99%

“…In order to improve energy efficiency of energy-constrained devices, many compression methods were presented for reducing amount of data to be transmitted or stored in wireless sensing node or wearables [16], [76]- [88]. A summary of the PPG compression methods were presented in [88]. In lossless compression method [76], compression ratio (CR) varies within of 2.980 to 2.571 for the sampling rate ranges of 1 kHz, 625 Hz, 500 Hz, 250 Hz, and 125 Hz with compression and decompression computational complexities of O(N 3 ) and O(N 2 ), respectively.…”

Section: Motivation For the Present Workmentioning

confidence: 99%

“…Some lossless compression methods were presented to achieve higher CRs by processing longer duration PPG signals (more than 30 seconds), which are also digitized with higher sampling rate (>250 Hz) and amplitude resolution (>12 bit) but these methods highly demand more computational and storage resources which are major constraints in wearable devices and may also result in high processing energy and overheads. Past studies showed that lossy compression methods had higher compression efficiency as compared to lossless compression methods for short duration PPG signals (5 to 10 seconds) with sampling rate (100-250 Hz) and amplitude resolution (10-12 bit) and thus lead to reduce energy consumption enormously while improving energy efficiency [16], [86], [88].…”

Section: Motivation For the Present Workmentioning

confidence: 99%

“…can introduce different kinds of waveform distortions that depends on the type of quantization techniques used coding the residual or prediction error that are different from other types of distortions introduced by the transform-based compression methods with coefficient thresholding and quantization. Within the transform-based methods, the discrete cosine transform (DCT) based compression methods introduce distortions in different portions of the PPG signal as compared to the discrete wavelet transform (DWT) based compression methods [16], [88]. For example, the DCTbased method introduces distortion in the high-slope portions or sharp portions of the signal.…”

Section: Motivation For the Present Workmentioning

confidence: 99%

“…In order to achieve higher CRs, various lossy compression methods are explored as compared to lossless compression methods having comparatively lower CR values ranging from 1.5:1 to 3:1 [43], [47], [88]. On the other hand, lossless compression methods can allow to exactly reproduce the original data from the compressed data without loss of information.…”

Section: ) Signal Distortions Due To Lossy Compressionmentioning

confidence: 99%

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Evaluation of Objective Distortion Measures for Automatic Quality Assessment of Processed PPG Signals for Real-Time Health Monitoring Devices

2022

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Real-time photoplethysmogram (PPG) denoising and data compression has become most essential requirements for accurately measuring vital parameters and efficient data transmission but that may introduce different kinds of waveform distortions due to the lossy processing techniques. Subjective quality assessment tests are the most reliable way to assess the quality, but they are time expensive and also cannot be incorporated with quality-driven compression mechanism. Thus, finding a best objective distortion measure is highly demanded for automatically evaluating quality of reconstructed PPG signal that must be subjectively meaningful and simple. In this paper, we present four types of objective distortion measures and evaluate their performance in terms of quality prediction accuracy, Pearson correlation coefficient and computational time. The performance evaluation is performed on different kinds of PPG waveform distortions introduced by the predictive coding, compressed sampling, discrete cosine transform and discrete wavelet transform. On the normal and abnormal PPG signals taken from five standard databases, evaluation results showed that different subjective quality evaluation groups (5-point, 3-point and 2-point rating scale) had different best objective distortion measures in terms of prediction accuracy and Pearson correlation coefficient. Moreover, selection of a best objective distortion measure depends upon type of PPG features that need to be preserved in the reconstructed signal.

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Section: Motivation For the Present Workmentioning

confidence: 99%

Section: Motivation For the Present Workmentioning

confidence: 99%

Section: Motivation For the Present Workmentioning

confidence: 99%

Section: Motivation For the Present Workmentioning

confidence: 99%

Section: ) Signal Distortions Due To Lossy Compressionmentioning

confidence: 99%

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Evaluation of Objective Distortion Measures for Automatic Quality Assessment of Processed PPG Signals for Real-Time Health Monitoring Devices

2022

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Unified Quality-Aware Compression and Pulse-Respiration Rates Estimation Framework for Reducing Energy Consumption and False Alarms of Wearable PPG Monitoring Devices

et al. 2023

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Objective: Due to the high demands of tiny, compact, lightweight and low-cost photoplethysmogram (PPG) monitoring devices, these devices are resource-constrained including limited battery power. Consequently, it highly demands frequent charge or battery replacement in the case of continuous PPG sensing and transmission. Further, PPG signals are often corrupted severely under ambulatory and exercise recording conditions that leads to frequent false alarms. Method: In this paper, we propose a unified qualityaware compression and pulse-respiration rates estimation framework for reducing energy consumption and false alarms of wearable and edge PPG monitoring devices by exploring predictive coding technique for jointly performing signal quality assessment (SQA), data compression and pulse rate (PR) and respiration rate (RR) estimation without use of different domains of signal processing techniques that can be achieved by using the features extracted from the smoothed prediction error signal. Results: By using the five standard PPG databases, the performance of the proposed unified framework is evaluated in terms of compression ratio (CR), mean absolute error (MAE), false alarm reduction rate (FARR), processing time (PT) and energy saving (ES). The compression, PR and RR estimation and SQA results are compared with that of the existing methods and also with results of uncompressed PPG signals with sampling rates of 125 Hz and 25 Hz. Conclusion: The proposed unified quality-aware framework achieves an average CR of 4%, SQA (Se of 92.00%, FARR of 84.87%), PR (MAE: 0.46 ±1.20) and RR (MAE: 1.75 (0.65-4.45), PT (sec) of 15.34 ±0.01) and ES of 70.28% which outperforms the results of uncompressed PPG signal with a sampling rate of 125 Hz. Significance: Arduino Due computing platform based implementation demonstrates the real-time feasibility of the proposed unified quality-aware PR-RR estimation and data compression and transmission framework on the limited computational resources. Thus, it has great potential in improving energy-efficiency and trustworthiness of wearable and edge PPG monitoring devices.

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Predictive Coding with Simultaneous Extraction of Pulse and Respiration Rates from PPG Signal for Energy Constrained Wearable Devices

Reddy

Manikandan

Murty

2021

2021 4th International Conference on Bio-Engineering for Smart Technologies (BioSMART)

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Integrated Data Compression and Pulse Rate Extraction Scheme Using Differential Coding for Wireless PPG Monitoring Devices

Cited by 13 publications

References 18 publications

Evaluation of Objective Distortion Measures for Automatic Quality Assessment of Processed PPG Signals for Real-Time Health Monitoring Devices

Evaluation of Objective Distortion Measures for Automatic Quality Assessment of Processed PPG Signals for Real-Time Health Monitoring Devices

Unified Quality-Aware Compression and Pulse-Respiration Rates Estimation Framework for Reducing Energy Consumption and False Alarms of Wearable PPG Monitoring Devices

Predictive Coding with Simultaneous Extraction of Pulse and Respiration Rates from PPG Signal for Energy Constrained Wearable Devices

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