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

Wearable Devices and Sensors (903) mHealth for Data Collection and Research (981) Novel Sensors and Data Acquisition Methods in Cardiology (200) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1428) Hypertension Prevention and Treatment (229) New Methods (963)

Published on in Vol 9, No 8 (2021): August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/27466, first published .
Enabling Wearable Pulse Transit Time-Based Blood Pressure Estimation for Medically Underserved Areas and Health Equity: Comprehensive Evaluation Study

Enabling Wearable Pulse Transit Time-Based Blood Pressure Estimation for Medically Underserved Areas and Health Equity: Comprehensive Evaluation Study

Enabling Wearable Pulse Transit Time-Based Blood Pressure Estimation for Medically Underserved Areas and Health Equity: Comprehensive Evaluation Study

Authors of this article:

Venu Ganti1 Author Orcid Image ;   Andrew M Carek1 Author Orcid Image ;   Hewon Jung1 Author Orcid Image ;   Adith V Srivatsa2 Author Orcid Image ;   Deborah Cherry3 Author Orcid Image ;   Levather Neicey Johnson3 Author Orcid Image ;   Omer T Inan1, 2 Author Orcid Image
Article Authors Cited by (11) Tweetations (5) Metrics

Journals

  1. Khoong E, Commodore-Mensah Y, Lyles C, Fontil V. Use of Self-Measured Blood Pressure Monitoring to Improve Hypertension Equity. Current Hypertension Reports 2022;24(11):599 View
  2. Qin K, Huang W, Zhang T, Tang S. Machine learning and deep learning for blood pressure prediction: a methodological review from multiple perspectives. Artificial Intelligence Review 2023;56(8):8095 View
  3. Chan M, Ganti V, Heller J, Abdallah C, Etemadi M, Inan O. Enabling Continuous Wearable Reflectance Pulse Oximetry at the Sternum. Biosensors 2021;11(12):521 View
  4. Chen J, Huang H, Fang Y, Lin Y, Li S, Chen B, Lo Y, Chen P, Wang C, Chen Y. A Data-Driven Model with Feedback Calibration Embedded Blood Pressure Estimator Using Reflective Photoplethysmography. Sensors 2022;22(5):1873 View
  5. Thapa S, Bello A, Maurushat A, Farid F. Security Risks and User Perception towards Adopting Wearable Internet of Medical Things. International Journal of Environmental Research and Public Health 2023;20(8):5519 View
  6. Nikbakht M, Gazi A, Zia J, An S, Lin D, Inan O, Kamaleswaran R. Synthetic seismocardiogram generation using a transformer-based neural network. Journal of the American Medical Informatics Association 2023;30(7):1266 View
  7. Hesar M, Seyedsadrkhani N, Khan D, Naghashian A, Piekarski M, Gall H, Schermuly R, Ghofrani H, Ingebrandt S. AI-enabled epidermal electronic system to automatically monitor a prognostic parameter for hypertension with a smartphone. Biosensors and Bioelectronics 2023;241:115693 View
  8. Xu H, Heydari F, Rathnayaka A, Wu F, Yuce M. Evaluation of One-Point Calibration for Cuffless BP Wearable Sensor Devices: Stiffness Index. IEEE Sensors Journal 2024;24(7):11374 View
  9. Camerlingo N, Cai X, Adamowicz L, Welbourn M, Psaltos D, Zhang H, Messere A, Selig J, Lin W, Sheriff P, Demanuele C, Santamaria M, Karahanoglu F. Measuring gait parameters from a single chest-worn accelerometer in healthy individuals: a validation study. Scientific Reports 2024;14(1) View

Books/Policy Documents

  1. Bolic M. Pervasive Cardiovascular and Respiratory Monitoring Devices. View