A digital adaptive canceler using the least mean-square algorithm reduced electrosurgical interference, yielding an improvement in signal-to-noise ratio of approximately 110 dB.
A combination of adaptive noise canceling and signal processing significantly reduces electrosurgical interference on ECGs in the operating room.
Effect estimate: 110 dB improvement
A technique utilizing a combination of adaptive noise canceling and conventional signal processing is developed to enhance electrocardiographic monitoring in the operating room by reducing the noise interference that is created by an electrosurgical instrument. Significant amounts of interference are eliminated by radio frequency shielding, passive and active low-pass filtering, and optical isolation. A digital adaptive canceler using the least mean-square algorithm of Widrow and Hoff is used to reduce the remainder of the interference, yielding an improvement in signal-to-noise ratio of approximately 110 dB. Clear electrocardiograms have been obtained with electrocautery equipment in operation.
Yelderman et al. (Fri,) conducted a other in Electrosurgical interference during electrocardiographic monitoring. Adaptive noise canceling and conventional signal processing was evaluated on Improvement in signal-to-noise ratio (110 dB improvement). A digital adaptive canceler using the least mean-square algorithm reduced electrosurgical interference, yielding an improvement in signal-to-noise ratio of approximately 110 dB.