Synchronization of heart rate and respiratory signals for HRV analysis

Vityazeva, Tatyana; Vityazev, Sergey; Михеев, А. А.

doi:10.1109/meco.2018.8405989

Cited by 2 publications

(1 citation statement)

References 1 publication

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Number preference is frequently observed when a user records a value from a sensor [ 10 ]. Synchronization of the investigational and reference sensors or devices is critically important to reduce uncertainty due to study participant uncertainty [ 11 ]. This is particularly critical in measurements with significant time variation.…”

Section: Standards Of Measurementmentioning

confidence: 99%

Measurement Uncertainty in Clinical Validation Studies of Sensors

Ansermino

Dumont

Ginsburg

2023

Sensors

View full text Add to dashboard Cite

Accurate clinical sensors and devices are essential to support optimal medical decision-making, and accuracy can be demonstrated through the conduct of clinical validation studies using validated reference sensors and/or devices for comparison. Typically unmeasurable, the true reference value can be substituted with an accepted physiological measurement with an associated uncertainty. We describe a basic model of measurement uncertainty that specifies the factors that may degrade the accuracy of an observed measurement value from a sensor, and we detail validation study design strategies that may be used to quantify and minimize these uncertainties. In addition, we describe a model that extends the observed measurement uncertainty to the resultant clinical decision and the factors that may impact the uncertainty of this decision. Clinical validation studies should be designed to estimate and minimize uncertainty that is unrelated to the sensor accuracy. The contribution of measurement observation uncertainty to clinical decision-making should be minimized but also acknowledged and incorporated into the clinical decision-making process.

show abstract

Section: Standards Of Measurementmentioning

confidence: 99%