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

Novel Sensors and Data Acquisition Methods in Cardiology (150) Mobile Health (mhealth) (1862) mHealth for Data Collection and Research (656) mHealth in a Clinical Setting (484) Mobile Apps for Cardiology (115)

Published on in Vol 1 , No 1 (2017) :Jan-Jun

Bioimpedance-Based Heart Failure Deterioration Prediction Using a Prototype Fluid Accumulation Vest-Mobile Phone Dyad: An Observational Study

Bioimpedance-Based Heart Failure Deterioration Prediction Using a Prototype Fluid Accumulation Vest-Mobile Phone Dyad: An Observational Study

Bioimpedance-Based Heart Failure Deterioration Prediction Using a Prototype Fluid Accumulation Vest-Mobile Phone Dyad: An Observational Study

Authors of this article:

Chad Eric Darling 1 Author Orcid Image ;   Silviu Dovancescu 2 Author Orcid Image ;   Jane S Saczynski 3 Author Orcid Image ;   Jarno Riistama 2 Author Orcid Image ;   Fatima Sert Kuniyoshi 4 Author Orcid Image ;   Joseph Rock 4 Author Orcid Image ;   Theo E Meyer 5 Author Orcid Image ;   David D McManus 5 Author Orcid Image
Article Authors Cited by (12) Tweetations (5) Metrics

Journals

  1. Kooman J, Wieringa F, Han M, Chaudhuri S, van der Sande F, Usvyat L, Kotanko P. Wearable health devices and personal area networks: can they improve outcomes in haemodialysis patients?. Nephrology Dialysis Transplantation 2020;35(Supplement_2):ii43 View
  2. Acar G, Ozturk O, Golparvar A, Elboshra T, Böhringer K, Yapici M. Wearable and Flexible Textile Electrodes for Biopotential Signal Monitoring: A review. Electronics 2019;8(5):479 View
  3. Singhal A, Cowie M. The Role of Wearables in Heart Failure. Current Heart Failure Reports 2020;17(4):125 View
  4. Reljin N, Posada-Quintero H, Eaton-Robb C, Binici S, Ensom E, Ding E, Hayes A, Riistama J, Darling C, McManus D, Chon K. Machine Learning Model Based on Transthoracic Bioimpedance and Heart Rate Variability for Lung Fluid Accumulation Detection: Prospective Clinical Study. JMIR Medical Informatics 2020;8(8):e18715 View
  5. Posada-Quintero H, Reljin N, Eaton-Robb C, Noh Y, Riistama J, Chon K. Analysis of Consistency of Transthoracic Bioimpedance Measurements Acquired with Dry Carbon Black PDMS Electrodes, Adhesive Electrodes, and Wet Textile Electrodes. Sensors 2018;18(6):1719 View
  6. Ding E, Ensom E, Hafer N, Buchholz B, Picard M, Dunlap D, Rogers E, Lawton C, Koren A, Lilly C, Fitzgibbons T, McManus D. Point-of-care technologies in heart, lung, blood and sleep disorders from the Center for Advancing Point-of-Care Technologies. Current Opinion in Biomedical Engineering 2019;11:58 View
  7. Yarahmadi S, Gholami M, Cheraghian T. Establishment of a Monitoring Clinic Based on Wearables for Patients with Heart Failure. Journal of Archives in Military Medicine 2020;8(3) View
  8. Cabral S. Wearable remote monitoring in heart failure care – where do we stand?. Revista Portuguesa de Cardiologia 2021;40(5):339 View
  9. 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
  10. 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 2021 View
  11. Cabral S. Wearable remote monitoring in heart failure care – where do we stand?. Revista Portuguesa de Cardiologia (English Edition) 2021;40(5):339 View

Books/Policy Documents

  1. Bouchaala D, Nouri H, Ben Atitallah B, Derbel N, Kanoun O. Advanced Systems for Biomedical Applications. View