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

Patient Experiences with Diabetes Technology (35) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1466) Apps, Mobile, Wearables for Diabetes (313) Glucose Tracking and Self-Monitoring of Blood Glucose (170)

Published on in Vol 5, No 2 (2020): Apr-Jun

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/17890, first published .
Diabetes Management Experience and the State of Hypoglycemia: National Online Survey Study

Diabetes Management Experience and the State of Hypoglycemia: National Online Survey Study

Diabetes Management Experience and the State of Hypoglycemia: National Online Survey Study

Authors of this article:

Karim Zahed1 Author Orcid Image ;   Farzan Sasangohar1, 2 Author Orcid Image ;   Ranjana Mehta1 Author Orcid Image ;   Madhav Erraguntla1 Author Orcid Image ;   Khalid Qaraqe3 Author Orcid Image
Article Authors Cited by (10) Tweetations (2) Metrics

Journals

  1. Aljihmani L, Kerdjidj O, Petrovski G, Erraguntla M, Sasangohar F, Mehta R, Qaraqe K. Hand tremor-based hypoglycemia detection and prediction in adolescents with type 1 diabetes. Biomedical Signal Processing and Control 2022;78:103869 View
  2. Zahed K, Fields S, Sasangohar F. Investigating the Efficacy of Behavioral Models to Predict Use of Health Technology: A Scoping Review. Proceedings of the Human Factors and Ergonomics Society Annual Meeting 2022;66(1):2172 View
  3. Stephen D, Nordin A, Nilsson J, Persenius M. Using mHealth applications for self-care – An integrative review on perceptions among adults with type 1 diabetes. BMC Endocrine Disorders 2022;22(1) View
  4. Jahromi R, Zahed K, Sasangohar F, Erraguntla M, Mehta R, Qaraqe K. Hypoglycemia Detection Using Hand Tremors: Home Study of Patients With Type 1 Diabetes. JMIR Diabetes 2023;8:e40990 View
  5. Aljihmani L, Kerdjidj O, Petrovski G, Erraguntla M, Sasangohar F, Mehta R, Qaraqe K. Hand Tremor-Based Hypoglycemia Detection and Prediction in Adolescents with Type 1 Diabetes. SSRN Electronic Journal 2022 View
  6. Zahed K, Mehta R, Erraguntla M, Qaraqe K, Sasangohar F. Understanding Patient Beliefs in Using Technology to Manage Diabetes: Path Analysis Model From a National Web-Based Sample. JMIR Diabetes 2023;8:e41501 View
  7. Dave D, Vyas K, Cote G, Erraguntla M. Hypoglycemia and hyperglycemia detection using ECG: A multi-threshold based personalized fusion model. Biomedical Signal Processing and Control 2024;96:106569 View
  8. Pamidimukkala K, Ferm M, Erraguntla M, Haridas B, Byju A, Lawley M, Menon S, Villegas C, McKay S, DeSalvo D, Scaramuzza A. Real‐World Insights Into Hypoglycemia Risk While Driving in Teens and Young Adults With Type 1 Diabetes. Pediatric Diabetes 2025;2025(1) View

Books/Policy Documents

  1. Mohanty D, Hedera P. Mechanisms and Emerging Therapies in Tremor Disorders. View
  2. Polak A, Prucnal M, Adamczyk K. Bioinformatics and Biomedical Engineering. View