Literature DB >> 32248602

Evaluating the impact of motion artifact on noninvasive blood pressure devices.

Bruce S Alpert1, David E Quinn2, Bruce C Friedman3, Paul M Matsumura4, Richard A Dart5, Robert F Donehoo6.   

Abstract

Most automated sphygmomanometers use oscillometric algorithms. Motion, either patient-based or environmental, will affect the ability of a device to record an accurate blood pressure (BP). Members of the Association for the Advancement of Medical Instrumentation (AAMI) Sphygmomanometer Committee have been studying this problem for more than a decade. The AAMI TIR44 was the first publication to address the challenges of motion tolerance. The concepts described in TIR44 have led to the development of a draft of ISO 81060-4, a new standard for testing devices for which the manufacturer wishes to claim motion tolerance. The current ISO 81060-2 addresses both stress testing and 24-hour ambulatory BP monitoring. Recent publications have reported on testing of devices in response to voluntary and involuntary patient motion. The ISO 81060-4 will address testing in the presence of patient transport by ground, fixed-wing, and rotary (helicopter) ambulances. The protocol will utilize noise profiles recorded under those three conditions. The profiles will be digitally stored on a library with free access. The proposed testing will be performed using patient simulators introducing the noise library files into known BP oscillometric envelopes. The specifications of the data capture and playback devices are specified, as is the evaluation statistical testing. The authors expect that the final draft will be published in 2020.
© 2020 Wiley Periodicals, Inc.

Entities:  

Keywords:  blood pressure; motion artifact; oscillometry; patient transport

Mesh:

Year:  2020        PMID: 32248602      PMCID: PMC8030025          DOI: 10.1111/jch.13851

Source DB:  PubMed          Journal:  J Clin Hypertens (Greenwich)        ISSN: 1524-6175            Impact factor:   3.738


  6 in total

1.  Blood pressure monitoring: automated oscillometric devices.

Authors:  M Ramsey
Journal:  J Clin Monit       Date:  1991-01

2.  Signal quality measures for unsupervised blood pressure measurement.

Authors:  J Abdul Sukor; S J Redmond; G S H Chan; N H Lovell
Journal:  Physiol Meas       Date:  2012-02-28       Impact factor: 2.833

3.  Preliminary study of motion artifact rejection for NIBP measurement in an ambulance.

Authors:  Yoonseo Koo; Jaemin Kang; Il Hyung Shin; Min Yang Jung; Gil Joon Suh; Hee Chan Kim
Journal:  Annu Int Conf IEEE Eng Med Biol Soc       Date:  2007

Review 4.  Evaluating the impact of motion artifact on noninvasive blood pressure devices.

Authors:  Bruce S Alpert; David E Quinn; Bruce C Friedman; Paul M Matsumura; Richard A Dart; Robert F Donehoo
Journal:  J Clin Hypertens (Greenwich)       Date:  2020-04-05       Impact factor: 3.738

5.  Validation of the Welch Allyn Home blood pressure monitor with professional SureBP algorithm with a special feature of accuracy during involuntary (tremor) patient movement.

Authors:  Bruce S Alpert
Journal:  Blood Press Monit       Date:  2019-04       Impact factor: 1.444

6.  Accurate blood pressure during patient arm movement: the Welch Allyn Connex Spot Monitor's SureBP algorithm.

Authors:  Bruce S Alpert; David Quinn; Matthew Kinsley; Tyson Whitaker; Thomas T John
Journal:  Blood Press Monit       Date:  2019-02       Impact factor: 1.444

  6 in total
  2 in total

Review 1.  Evaluating the impact of motion artifact on noninvasive blood pressure devices.

Authors:  Bruce S Alpert; David E Quinn; Bruce C Friedman; Paul M Matsumura; Richard A Dart; Robert F Donehoo
Journal:  J Clin Hypertens (Greenwich)       Date:  2020-04-05       Impact factor: 3.738

Review 2.  Recent Advances in Non-Invasive Blood Pressure Monitoring and Prediction Using a Machine Learning Approach.

Authors:  Siti Nor Ashikin Ismail; Nazrul Anuar Nayan; Rosmina Jaafar; Zazilah May
Journal:  Sensors (Basel)       Date:  2022-08-18       Impact factor: 3.847

  2 in total

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