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142 – Rate Detector Algorithm in AcqKnowledge

The AcqKnowledge Rate Detector is critical to the ability of AcqKnowledge to extract information from physiological data that has a degree of periodicity. Physiological data which can be investigated using Rate detection include:

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Waveform

Metrics

Waveform Profile1

Airflow

Respiration Ratesmooth

Blood Flow

Flow Peak, Flow Min, Flow Meansmooth

Blood Pressure

Systolic, Diastolic, Mean, dP/dt Max, dP/dt Minsmooth

ECG

Heart Rate or Inter-Beat-Interval recordingspikey (high slew rate or sharp amplitude transitions)

EGG (Electrogastrogram)

Peristolic contractionssmooth

EMG

Zero Crossing or Mean Frequency analysisspikey

Goinometer (joint angle)

Repetitive motion/exercisesmooth

Nerve

Spike counting, Frequencyspikey

Pulse plethysmogram

Pulse Rate, Inter-Beat
Interval, Volume
smooth

Respiration

Respiration Ratesmooth
1

Most 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.

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