This paper is in the following e-collection/theme issue:

Novel Sensors and Data Acquisition Methods in Cardiology (196) Wearable Devices and Sensors (889) Heart Failure Self-Management (150)

Published on in Vol 4, No 1 (2020): Jan-Dec

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/12141, first published .
The Added Value of In-Hospital Tracking of the Efficacy of Decongestion Therapy and Prognostic Value of a Wearable Thoracic Impedance Sensor in Acutely Decompensated Heart Failure With Volume Overload: Prospective Cohort Study

The Added Value of In-Hospital Tracking of the Efficacy of Decongestion Therapy and Prognostic Value of a Wearable Thoracic Impedance Sensor in Acutely Decompensated Heart Failure With Volume Overload: Prospective Cohort Study

The Added Value of In-Hospital Tracking of the Efficacy of Decongestion Therapy and Prognostic Value of a Wearable Thoracic Impedance Sensor in Acutely Decompensated Heart Failure With Volume Overload: Prospective Cohort Study

Authors of this article:

Christophe J P Smeets1, 2, 3 Author Orcid Image ;   Seulki Lee2 Author Orcid Image ;   Willemijn Groenendaal2 Author Orcid Image ;   Gabriel Squillace2 Author Orcid Image ;   Julie Vranken1, 3 Author Orcid Image ;   Hélène De Cannière1, 3 Author Orcid Image ;   Chris Van Hoof2, 4 Author Orcid Image ;   Lars Grieten1, 2 Author Orcid Image ;   Wilfried Mullens5 Author Orcid Image ;   Petra Nijst5 Author Orcid Image ;   Pieter M Vandervoort1, 3, 5 Author Orcid Image
Article Authors Cited by (21) Tweetations (2) Metrics

Journals

  1. Zile M, Sharma V, Baicu C, Koehler J, Tang A. Prediction of heart failure hospitalizations based on the direct measurement of intrathoracic impedance. ESC Heart Failure 2020;7(5):3040 View
  2. Schoutteten M, Vranken J, Lee S, Smeets C, De Cannière H, Van Hoof C, Peeters J, Groenendaal W, Vandervoort P. Towards personalized fluid monitoring in haemodialysis patients: thoracic bioimpedance signal shows strong correlation with fluid changes, a cohort study. BMC Nephrology 2020;21(1) View
  3. Husain‐Syed F, Gröne H, Assmus B, Bauer P, Gall H, Seeger W, Ghofrani A, Ronco C, Birk H. Congestive nephropathy: a neglected entity? Proposal for diagnostic criteria and future perspectives. ESC Heart Failure 2021;8(1):183 View
  4. Dheman K, Mayer P, Magno M, Schuerle S. Wireless, Artefact Aware Impedance Sensor Node for Continuous Bio-Impedance Monitoring. IEEE Transactions on Biomedical Circuits and Systems 2020;14(5):1122 View
  5. Lindeboom L, Lee S, Wieringa F, Groenendaal W, Basile C, van der Sande F, Kooman J. On the potential of wearable bioimpedance for longitudinal fluid monitoring in end-stage kidney disease. Nephrology Dialysis Transplantation 2022;37(11):2048 View
  6. Krzesinski P, Sobotnicki A, Gacek A, Siebert J, Walczak A, Murawski P, Gielerak G. Noninvasive Bioimpedance Methods From the Viewpoint of Remote Monitoring in Heart Failure. JMIR mHealth and uHealth 2021;9(5):e25937 View
  7. Groenendaal W, Lee S, van Hoof C. Wearable Bioimpedance Monitoring: Viewpoint for Application in Chronic Conditions. JMIR Biomedical Engineering 2021;6(2):e22911 View
  8. MAYNE K, SHEMILT R, KEANE D, LEES J, MARK P, HERRINGTON W. Bioimpedance Indices of Fluid Overload and Cardiorenal Outcomes in Heart Failure and Chronic Kidney Disease: a Systematic Review. Journal of Cardiac Failure 2022;28(11):1628 View
  9. Sandys V, Sexton D, O'Seaghdha C. Artificial intelligence and digital health for volume maintenance in hemodialysis patients. Hemodialysis International 2022;26(4):480 View
  10. Dheman K, Mayer P, Eggimann M, Magno M, Schuerle S. Towards Artefact-Free Bio-Impedance Measurements: Evaluation, Identification and Suppression of Artefacts at Multiple Frequencies. IEEE Sensors Journal 2022;22(1):589 View
  11. Stauss M, Htay H, Kooman J, Lindsay T, Woywodt A. Wearables in Nephrology: Fanciful Gadgetry or Prêt-à-Porter?. Sensors 2023;23(3):1361 View
  12. Krzesiński P. Digital Health Technologies for Post-Discharge Care after Heart Failure Hospitalisation to Relieve Symptoms and Improve Clinical Outcomes. Journal of Clinical Medicine 2023;12(6):2373 View
  13. Goyal K, Shah D, Day S. Day-to-Day Variability in Measurements of Respiration Using Bioimpedance from a Non-Standard Location. Sensors 2024;24(14):4612 View
  14. Scagliusi S, Giménez-Miranda L, Pérez-García P, Olmo-Fernández A, Huertas-Sánchez G, Medrano-Ortega F, Yúfera-García A. Wearable Devices Based on Bioimpedance Test in Heart-Failure: Design Issues. Reviews in Cardiovascular Medicine 2024;25(9) View
  15. Giménez-Miranda L, Scagliusi S, Pérez-García P, Olmo-Fernández A, Huertas G, Yúfera A, Medrano F. Wearable Devices Based on Bioimpedance Test in Heart Failure: Clinical Relevance: Systematic Review. Reviews in Cardiovascular Medicine 2024;25(9) View
  16. Akbulut İ, Kozluca V, Tan Kürklü T, Ali R, Ateş B, Özerdem M, Atan S, Yamantürk Y, Esenboğa K, Sayın T. A Novel Index for Survival in Acute Heart Failure: Diuretic Efficiency Score. Medical Journal of Western Black Sea 2024;8(2):135 View
  17. Scholte N, van Ravensberg A, Shakoor A, Boersma E, Ronner E, de Boer R, Brugts J, Bruining N, van der Boon R. A scoping review on advancements in noninvasive wearable technology for heart failure management. npj Digital Medicine 2024;7(1) View

Books/Policy Documents

  1. Bertemes-Filho P, Morcelles K. Medicine-Based Informatics and Engineering. View
  2. Salman H, Al‐Ruweidi M, Ouakad H, Yalcin H. Predicting Heart Failure. View
  3. Boughorbel S, Himeur Y, Salman H, Bensaali F, Farooq F, Yalcin H. Predicting Heart Failure. View