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142 - RATE DETECTOR ALGORITHM IN ACQKNOWLEDGE
The AcqKnowledge Rate Detector is critical to the ability of AcqKnowledgeto extract information from physiological data that has a degree of periodicity. Physiological data which can be investigated using Rate detection include:
Waveform
Metrics
Waveform Profile1
Airflow
Respiration Rate
smooth
Blood Flow
Flow Peak, Flow Min, Flow Mean
smooth
Blood Pressure
Systolic, Diastolic, Mean, dP/dt Max, dP/dt Min
smooth
ECG
Heart Rate or Inter-Beat-Interval recording
spikey (high slew rate or sharp amplitude transitions)
EGG (Electrogastrogram)
Peristolic contractions
smooth
EMG
Zero Crossing or Mean Frequency analysis
spikey
Goinometer (joint angle)
Repetitive motion/exercise
smooth
Nerve
Spike counting, Frequency
spikey
Pulse plethysmogram
Pulse Rate, Inter-Beat Interval, Volume
smooth
Respiration
Respiration Rate
smooth
1Most physiological data which is periodic in nature is smoothly varying. However, important data types that are “spikey” include ECG and EMG.
The AcqKnowledge Rate Detector incorporates a significant amount of flexibility to optimize performance when extracting data from periodic physiological waveforms. The Rate Detector Algorithm is a procedure whereby some special cyclic property of a waveform is determined by a search for waveform peaks or valleys. This application note explains the major component functionality of the Rate Detector algorithm that facilitates the search for these peaks and includes a discussion on signal conditioning methods that will help render optimal results when the Rate Detector tool is applied.
