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

mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1732) mHealth for Data Collection and Research (1196) Novel Sensors and Data Acquisition Methods in Cardiology (225) Development and Evaluation of Research Methods, Instruments and Tools (744) Decision Support for Health Professionals (1539) mHealth for Data Collection and Research (1196) Mobile Health (mhealth) (3464) Mobile Health (mhealth) (3464) Development and Evaluation of Research Methods, Instruments and Tools (744) Decision Support for Health Professionals (1539) Novel Sensors and Data Acquisition Methods in Cardiology (225)

Published on in Vol 11 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/44147, first published .
Blood Pressure Measurement Based on the Camera and Inertial Measurement Unit of a Smartphone: Instrument Validation Study

Blood Pressure Measurement Based on the Camera and Inertial Measurement Unit of a Smartphone: Instrument Validation Study

Blood Pressure Measurement Based on the Camera and Inertial Measurement Unit of a Smartphone: Instrument Validation Study

Authors of this article:

Yong-Hoon Yoon1 Author Orcid Image ;   Jongin Kim2 Author Orcid Image ;   Kwang Jin Lee2 Author Orcid Image ;   Dongrae Cho2 Author Orcid Image ;   Jin Kyung Oh1 Author Orcid Image ;   Minsu Kim1 Author Orcid Image ;   Jae-Hyung Roh1 Author Orcid Image ;   Hyun Woong Park1 Author Orcid Image ;   Jae-Hwan Lee1 Author Orcid Image
Article Authors Cited by (7) Tweetations (2) Metrics

Journals

  1. Henry B, Merz M, Hoang H, Abdulkarim G, Wosik J, Schoettker P. Cuffless Blood Pressure in clinical practice: challenges, opportunities and current limits.. Blood Pressure 2024;33(1) View
  2. Fedorovich A, Ososkov V, Korolev A, Vasilyev O, Drapkina O. Cuffless methods of blood pressure measurements. Review of modern technologies. Russian Journal of Preventive Medicine 2024;27(12):156 View
  3. Colburn D, Chern T, Guo V, Salamat K, Pugliese D, Bradley C, Shimbo D, Sia S. A method for blood pressure hydrostatic pressure correction using wearable inertial sensors and deep learning. npj Biosensing 2025;2(1) View
  4. Liu I, Liu F, Zhong Q, Ni S. A finger on the pulse of cardiovascular health: estimating blood pressure with smartphone photoplethysmography-based pulse waveform analysis. BioMedical Engineering OnLine 2025;24(1) View
  5. van Vliet M, Aalberts J, Hamelinck C, Hauer A, Hoftijzer D, Monnink S, Schipper J, Constandse J, Peters N, Lip G, Steinhubl S, Ronner E. Assessment of photoplethysmography-based blood pressure determinations during long-term and short-term remote cardiac monitoring: the RECAMO study. European Heart Journal - Digital Health 2025;6(4):763 View
  6. Tan S, Chai J, Choi M, Javaid U, Tan B, Chow B, Abdullah H. Remote Photoplethysmography Technology for Blood Pressure and Hemoglobin Level Assessment in the Preoperative Assessment Setting: Algorithm Development Study. JMIR Formative Research 2025;9:e60455 View

Conference Proceedings

  1. Farfan J, Ravichandran S, Shamsie M, Traverso C, Jani S, Hanumara N. 2025 47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). HealthReflect: Design of a Bathroom Smart Mirror to Capture Comprehensive Consumer Health Data Trends1 View