Title :
Algorithm for reduction of mechanical noise in arterial pulse recording with tonometry
Author :
Ciaccio, E.J. ; Drzewiecki, G.M. ; Karam, E.H.
Author_Institution :
Cardiovascular Res. Lab., Rutgers Univ., Piscataway, NJ, USA
Abstract :
The quality of arterial pulse recording is diminished by mechanical noise, mainly in the form of movement by the subject, which is unavoidable in environments such as treadmill stress testing aid in aerospace settings. A method is presented for minimizing motion artifacts in such recordings. The pulse shape is obtained, through the principle of tonometry, by means of two piezoelectric (crystal) sensors positioned at the pulse site. One motion sensor output is subtracted from the other (pulse sensor=pulse+mostly common-mode motion) output. Observations show that the mechanical gain at each sensor´s interface differs. Subject movements can shift the transducer slightly and makes the gain time-varying. An algorithm is developed that estimates the best fit of pulse signal vs. noise signal in real time, using the method of least squares. An equation is presented to correct the pulse
Keywords :
biomedical measurement; haemodynamics; signal processing; aerospace; arterial pulse recording; least squares method; mechanical gain; mechanical noise reduction algorithm; motion artifacts minimisation; piezoelectric sensors; pulse shape; tonometry; treadmill stress testing; Aerospace testing; Least squares methods; Mechanical sensors; Noise reduction; Noise shaping; Piezoelectric transducers; Pulse shaping methods; Shape; Stress; Working environment noise;
Conference_Titel :
Bioengineering Conference, 1989., Proceedings of the 1989 Fifteenth Annual Northeast
Conference_Location :
Boston, MA
DOI :
10.1109/NEBC.1989.36750