Kondakçı, Süleyman2020-04-022020-04-022001Kondakci, S, "An approach to noise reduction in human skin admittance measurements", 23rd Annual International Conference of the IEEE-Engineering-in-Medicine-and-Biology-Society, Vol. 23, pp. 2028-2031, (2001).1094-687Xhttp://hdl.handle.net/20.500.12416/2845This paper presents the development of a signal averaging algorithm for recovering excitation responses contaminated by overwhelming amount of various types of interference in skin admittance measurements. The algorithm is designed to eliminate Gaussian-distributed noise by use of a recursive approach. The process of recovering low magnitude voltage responses from highly noise-contaminated waveforms is a CPU-intensive task. In real-time measurements, iterative reconstruction algorithm is inefficient and time consuming when slow varying input waveforms are present. To increase the quality of the reconstruction a considerably large number of recursions is required. Increasing the number of recursions is appropriate for batch processing of measurement data. However, the algorithm considers measurements in real-time, whereas required quality of signal reconstruction should be kept independent from the number of recursions.eninfo:eu-repo/semantics/closedAccessAn approach to noise reduction in human skin admittance measurementsAn Approach To Noise Reduction in Human Skin Admittance MeasurementsConference Object232028203110.1109/IEMBS.2001.1020630