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Headquarters: Richmond, Vancouver, BC, Canada
|Advanced Medical Systems & Engineering
Authors: Engineering & Bio-Telemetry Research Group, Richmond R&D Laboratory • International Journal of Biomedical Instrumentation & Clinical Engineering
Real-Time Adaptive Filtering of Motion Artifacts in High-Density Ambulatory Telemetry
“A quantitative investigation of multi-stage digital noise cancellation algorithms applied to multi-lead bioelectrical signals under dynamic patient movement conditions.”
A 32-channel multi-vector telemetry array was evaluated on active clinical test subjects across varying physical movement vectors, including ambulation, muscle tremors, and electrocautery RF exposure. Signals were digitized at 4,000 Hz per lead using 24-bit delta-sigma ADCs and processed via adaptive Kalman noise-cancellation matrices.
Demonstrates that real-time multi-stage adaptive filtering preserves diagnostic ECG morphometry during active patient transport, eliminating unnecessary emergency alarm disruptions.
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