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:
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 |
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.
The TSD190 is a haptic (tactile) stimulator that is ergonomically designed to strap onto a variety of body locations. It incorporates an internal electromagnetically actuated plunger which can be used to mechanically stimulate a 1.5 mm diameter area of skin surface; both plunger force and travel can be infinitely adjusted between zero and a specified […]
View AllBIOPAC provides software and hardware that allows research teams to record and analyze numerous body signals for physiological experimentation. Here are a few notable studies using BIOPAC equipment for ECG, EDA, and Respiration data. What Keeps Students More Engaged? The question has been brought to the forefront during COVID, what variations of online learning keep students more engaged? […]
BIOPAC’s comprehensive Introductory ECG Guide addresses fundamental to advanced concerns to optimize electrocardiography data recording and analysis. Topics include: ECG Complex; Electrical and Mechanical Sequence of a Heartbeat; Systole and Diastole; Configurations for Lead I, Lead II, Lead III, 6-lead ECG, 12-lead ECG, precordial leads; Ventricular Late Potentials (VLPs); ECG Measurement Tools; Automated Analysis Routines for extracting, […]
Read All