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In this paper, an approach based on adaptive noise cancellation (ANC) is evaluated for extraction of the fetal heart rate using photoplethysmographic signals from the maternal abdomen. A simple optical model is proposed in which the maternal and fetal blood pulsations result in emulated signals where the lower SNR limit (fetal to maternal) is -25dB. It is(More)
A hearing screening test is a method to determine human ear disorders and conventional audiometers and audiologists are required to perform the test. However, this procedure is difficult to implement, especially in a remote site such as a factory or a school due to the ambient noise that may cause test inaccuracy. In this work, the application of active(More)
In obstetrics, fetal heart rate (FHR) detection remains the standard for intrapartum assessment of fetal well-being. In this paper, a low-power (< 55 mW) optical technique is proposed for transabdominal FHR detection using near-infrared photoplesthysmography (PPG). A beam of IR-LED (890 nm) propagates through to the maternal abdomen and fetal tissues,(More)
The feasibility of a novel system to reliably estimate the normalized central blood pressure (CBPN) from the radial photoplethysmogram (PPG) is investigated. Right-wrist radial blood pressure and left-wrist PPG were simultaneously recorded in five different days. An industry-standard applanation tonometer was employed for recording radial blood pressure.(More)
Hearing screening test is a method to determine the disorder in human ears. Conventional audiometer and an audiologist are required in order to perform the hearing screening test. However, this procedure is difficult to be implemented especially in a remote site such as factory or school due to the ambient noise which may cause inaccuracy in the test. In(More)
A parametric model is proposed to predict the amplitude-normalized central aortic pressure (CAP) waveform from the radial photoplethysmogram (PPG). The structure of the model is linear autoregressive with exogenous input (ARX [2 2 0]). Results show that a second order model can predict the radial PPG from the normalized-CAP with a fitness value above 88%.(More)
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