Published on in Vol 10, No 5 (2021): May
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/24494, first published
.
![Improving Medication Adherence Through Adaptive Digital Interventions (iMedA) in Patients With Hypertension: Protocol for an Interrupted Time Series Study Improving Medication Adherence Through Adaptive Digital Interventions (iMedA) in Patients With Hypertension: Protocol for an Interrupted Time Series Study](https://asset.jmir.pub/assets/6012638582b76f6dae95fb047203f47e.png 480w,https://asset.jmir.pub/assets/6012638582b76f6dae95fb047203f47e.png 960w,https://asset.jmir.pub/assets/6012638582b76f6dae95fb047203f47e.png 1920w,https://asset.jmir.pub/assets/6012638582b76f6dae95fb047203f47e.png 2500w)
Journals
- Gupta K, Bajaj V, Ansari I, Rajendra Acharya U. Hyp-Net: Automated detection of hypertension using deep convolutional neural network and Gabor transform techniques with ballistocardiogram signals. Biocybernetics and Biomedical Engineering 2022;42(3):784 View