A 172 $\mu$W Compressively Sampled Photoplethysmographic (PPG) Readout ASIC With Heart Rate Estimation Directly From Compressively Sampled Data
نویسندگان
چکیده
منابع مشابه
The mechanisms for detecting compressively sampled gratings
Contrast thresholds for sine-wave gratings are raised when the gratings are compressively sampled into a set of narrow bright bars on a dark background, even though this method of sampling preserves the mean luminance and contrast of the grating. Burr et al. [(1985). Vision Research, 25, 717-727] suggested threshold elevation was due to localized luminance adaptation to the sample bars, whose a...
متن کاملHeart rate and blood pressure estimation from compressively sensed photoplethysmograph
In this paper we consider the problem of low power SpO2 sensors for acquiring Photoplethysmograph (PPG) signals. Most of the power in SpO2 sensors goes to lighting red and infra-red LEDs. We use compressive sensing to lower the amount of time LEDs are lit, thereby reducing the signal acquisition power. We observe power savings by a factor that is comparable to the sampling rate. At the receiver...
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The new emerging theory of Compressive Sampling has demonstrated that by exploiting the structure of a signal, it is possible to sample a signal below the Nyquist rate and achieve perfect reconstruction. In this short note, we employ Non-negative Matrix Factorisation in the context of Compressive Sampling and propose two NMF algorithms for signal recovery—one of which utilises Iteratively Rewei...
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The new emerging theory of Compressive Sampling has demonstrated that by exploiting the structure of a signal, it is possible to sample a signal below the Nyquist rate and achieve perfect reconstruction. In this paper, we consider a special case of Compressive Sampling where the uncompressed signal is non-negative, and propose an extension of Non-negative Quadratic Programming—which utilises It...
متن کاملA time-frequency domain approach of heart rate estimation from photoplethysmographic (PPG) signal
ObjectiveHeart rate monitoring using wrist type Photoplethysmographic (PPG) signals is getting popularity because of construction simplicity and low cost of wearable devices. The task becomes very difficult due to the presence of various motion artifacts. The objective is to develop algorithms to reduce the effect of motion artifacts and thus obtain accurate heart rate estimation. MethodsPropos...
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ژورنال
عنوان ژورنال: IEEE Transactions on Biomedical Circuits and Systems
سال: 2017
ISSN: 1932-4545,1940-9990
DOI: 10.1109/tbcas.2017.2661701