CitedEvidence
User Settings

Data Manipulation

Simon S. Young-2001-01-29-Cambridge University Press eBooks
0

TL;DRAbstract

Data acquisition systems make it very easy to collect huge amounts of data from many sources at once. The real challenge is in data reduction: obtaining useful information from the mass of numbers. As an example, imagine digitizing a blood pressure trace from an arterial catheter at 50 Hz. The tracing would look something like Figure 5.1 and at a heart rate of 88 beats/min there are thirty-four data points per beat. What we really want is the mean, systolic and diastolic pressure for each beat, plus the instantaneous heart rate: four values per beat.

Chat with Paper

AI Agents for this Paper

Data acquisition systems make it very easy to collect huge amounts of data from many sources at once. The real challenge is in data reduction: obtaining useful information from the mass of numbers. As an example, imagine digitizing a blood pressure trace from an arterial catheter at 50 Hz. The tracing would look something like Figure 5.1 and at a heart rate of 88 beats/min there are thirty-four data points per beat. What we really want is the mean, systolic and diastolic pressure for each beat, plus the instantaneous heart rate: four values per beat.

Keywords

Computer science

Chat

Click to start Chat