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Sensors (Basel, Switzerland)
May 23, 2023;23 (11):

Longitudinal Studies of Wearables in Patients with Diabetes: Key Issues and Solutions.

Ahmad Yaser Alhaddad, Hussein Aly, Hoda Gad, Einas Elgassim, Ibrahim Mohammed, Khaled Baagar, Abdulaziz Al-Ali, Kishor Kumar Sadasivuni, John-John Cabibihan, Rayaz A Malik
Author Information
  1. Ahmad Yaser Alhaddad: Department of Mechanical and Industrial Engineering, Qatar University, Doha 2713, Qatar. ORCID
  2. Hussein Aly: KINDI Center for Computing Research, Qatar University, Doha 2713, Qatar. ORCID
  3. Hoda Gad: Weill Cornell Medicine-Qatar, Doha 24144, Qatar.
  4. Einas Elgassim: Weill Cornell Medicine-Qatar, Doha 24144, Qatar.
  5. Ibrahim Mohammed: Weill Cornell Medicine-Qatar, Doha 24144, Qatar.
  6. Khaled Baagar: Hamad Medical Corporation, Doha 3050, Qatar.
  7. Abdulaziz Al-Ali: KINDI Center for Computing Research, Qatar University, Doha 2713, Qatar. ORCID
  8. Kishor Kumar Sadasivuni: Center for Advanced Materials, Qatar University, Doha 2713, Qatar. ORCID
  9. John-John Cabibihan: Department of Mechanical and Industrial Engineering, Qatar University, Doha 2713, Qatar. ORCID
  10. Rayaz A Malik: Weill Cornell Medicine-Qatar, Doha 24144, Qatar. ORCID
PMID: 37299733 DOI: 10.3390/s23115003

Abstract

Glucose monitoring is key to the management of diabetes mellitus to maintain optimal glucose control whilst avoiding hypoglycemia. Non-invasive continuous glucose monitoring techniques have evolved considerably to replace finger prick testing, but still require sensor insertion. Physiological variables, such as heart rate and pulse pressure, change with blood glucose, especially during hypoglycemia, and could be used to predict hypoglycemia. To validate this approach, clinical studies that contemporaneously acquire physiological and continuous glucose variables are required. In this work, we provide insights from a clinical study undertaken to study the relationship between physiological variables obtained from a number of wearables and glucose levels. The clinical study included three screening tests to assess neuropathy and acquired data using wearable devices from 60 participants for four days. We highlight the challenges and provide recommendations to mitigate issues that may impact the validity of data capture to enable a valid interpretation of the outcomes.

Keywords

continuous blood glucose data collection diabetes management longitudinal monitoring machine learning wearable devices

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Grants

  1. 11S-0110-180247/Qatar National Research Fund

MeSH Term

Humans
Blood Glucose Self-Monitoring
Diabetes Mellitus, Type 1
Blood Glucose
Hypoglycemia
Longitudinal Studies
Wearable Electronic Devices

Chemicals

Blood Glucose
Journal Article

Word Cloud

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