Literature DB >> 33799717

Objective Quantification of In-Hospital Patient Mobilization after Cardiac Surgery Using Accelerometers: Selection, Use, and Analysis.

Frank R Halfwerk1,2, Jeroen H L van Haaren1, Randy Klaassen3, Robby W van Delden3, Peter H Veltink4, Jan G Grandjean1,2.   

Abstract

Cardiac surgery patients infrequently mobilize during their hospital stay. It is unclear for patients why mobilization is important, and exact progress of mobilization activities is not available. The aim of this study was to select and evaluate accelerometers for objective qualification of in-hospital mobilization after cardiac surgery. Six static and dynamic patient activities were defined to measure patient mobilization during the postoperative hospital stay. Device requirements were formulated, and the available devices reviewed. A triaxial accelerometer (AX3, Axivity) was selected for a clinical pilot in a heart surgery ward and placed on both the upper arm and upper leg. An artificial neural network algorithm was applied to classify lying in bed, sitting in a chair, standing, walking, cycling on an exercise bike, and walking the stairs. The primary endpoint was the daily amount of each activity performed between 7 a.m. and 11 p.m. The secondary endpoints were length of intensive care unit stay and surgical ward stay. A subgroup analysis for male and female patients was planned. In total, 29 patients were classified after cardiac surgery with an intensive care unit stay of 1 (1 to 2) night and surgical ward stay of 5 (3 to 6) nights. Patients spent 41 (20 to 62) min less time in bed for each consecutive hospital day, as determined by a mixed-model analysis (p < 0.001). Standing, walking, and walking the stairs increased during the hospital stay. No differences between men (n = 22) and women (n = 7) were observed for all endpoints in this study. The approach presented in this study is applicable for measuring all six activities and for monitoring postoperative recovery of cardiac surgery patients. A next step is to provide feedback to patients and healthcare professionals, to speed up recovery.

Entities:  

Keywords:  LOO cross-validation; activity classification; biomedical signal processing; early ambulation; k-fold cross validation; patient monitoring; thoracic surgery; wearable technology

Mesh:

Year:  2021        PMID: 33799717      PMCID: PMC7999757          DOI: 10.3390/s21061979

Source DB:  PubMed          Journal:  Sensors (Basel)        ISSN: 1424-8220            Impact factor:   3.576


  39 in total

1.  EuroSCORE II.

Authors:  Samer A M Nashef; François Roques; Linda D Sharples; Johan Nilsson; Christopher Smith; Antony R Goldstone; Ulf Lockowandt
Journal:  Eur J Cardiothorac Surg       Date:  2012-02-29       Impact factor: 4.191

2.  Functional recovery in the elderly after major surgery: assessment of mobility recovery using wireless technology.

Authors:  David J Cook; Jeffrey E Thompson; Sharon K Prinsen; Joseph A Dearani; Claude Deschamps
Journal:  Ann Thorac Surg       Date:  2013-09       Impact factor: 4.330

3.  Computerized analysis of daily life motor activity for ambulatory monitoring.

Authors:  K Kiani; C J Snijders; E S Gelsema
Journal:  Technol Health Care       Date:  1997-10       Impact factor: 1.285

Review 4.  Detection of static and dynamic activities using uniaxial accelerometers.

Authors:  P H Veltink; H B Bussmann; W de Vries; W L Martens; R C Van Lummel
Journal:  IEEE Trans Rehabil Eng       Date:  1996-12

5.  Assessment of posture and motion by multichannel piezoresistive accelerometer recordings.

Authors:  J Fahrenberg; F Foerster; M Smeja; W Müller
Journal:  Psychophysiology       Date:  1997-09       Impact factor: 4.016

6.  Exploring barriers to physical activity of patients at the internal medicine and surgical wards: a retrospective analysis of continuously collected data.

Authors:  Niek Koenders; Mariska Weenk; Tom H van de Belt; Harry van Goor; Thomas J Hoogeboom; Sebastian J H Bredie
Journal:  Disabil Rehabil       Date:  2019-11-06       Impact factor: 3.033

7.  Cardiac Rehabilitation Utilization During an Acute Cardiac Hospitalization: A NATIONAL SAMPLE.

Authors:  Quinn R Pack; Aruna Priya; Tara Lagu; Penelope S Pekow; Robert Berry; Auras R Atreya; Philip A Ades; Peter K Lindenauer
Journal:  J Cardiopulm Rehabil Prev       Date:  2019-01       Impact factor: 2.081

8.  The Society of Thoracic Surgeons Adult Cardiac Surgery Database: 2018 Update on Outcomes and Quality.

Authors:  Richard S D'Agostino; Jeffrey P Jacobs; Vinay Badhwar; Felix G Fernandez; Gaetano Paone; David W Wormuth; David M Shahian
Journal:  Ann Thorac Surg       Date:  2018-01       Impact factor: 4.330

9.  Promoting mobility and reducing length of stay in hospitalized general medicine patients: A quality-improvement project.

Authors:  Erik H Hoyer; Michael Friedman; Annette Lavezza; Kathleen Wagner-Kosmakos; Robin Lewis-Cherry; Judy L Skolnik; Sherrie P Byers; Levan Atanelov; Elizabeth Colantuoni; Daniel J Brotman; Dale M Needham
Journal:  J Hosp Med       Date:  2016-02-05       Impact factor: 2.960

10.  Measuring physical activity levels in hospitalized patients: a comparison between behavioural mapping and data from an accelerometer.

Authors:  Karin Valkenet; Petra Bor; Lotte van Delft; Cindy Veenhof
Journal:  Clin Rehabil       Date:  2019-03-13       Impact factor: 3.477

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  1 in total

1.  Factors Determining the Functional State of Cardiac Surgery Patients with Complicated Postoperative Period.

Authors:  Alexey N Sumin; Pavel A Oleinik; Andrey V Bezdenezhnykh; Natalia A Bezdenezhnykh
Journal:  Int J Environ Res Public Health       Date:  2022-04-04       Impact factor: 4.614

  1 in total

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