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Hand Tremor-Based Hypoglycemia Detection and Prediction in Adolescents with Type 1 Diabetes

https://doi.org/10.2139/ssrn.4014281
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18/18 checkable references clean · checked 2026-08-29

Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.

20 without a DOI — not checked. A reference deposited without a DOI is never matched by title or guessed at; it stays outside the checked set, and this line discloses that.

The 18 checked references that resolve
resolves10.2196/17890
Diabetes Management Experience and the State of Hypoglycemia: National Online Survey Study
resolves10.1177/1932296818763228
The Promise and Perils of Wearable Physiological Sensors for Diabetes Management
resolves10.1089/dia.2013.0004
Nocturnal Continuous Glucose Monitoring: Accuracy and Reliability of Hypoglycemia Detection in Patients with Type 1 Diabetes at High Risk of Severe Hypoglycemia
resolves10.1089/dia.2018.0359
Real-World Hypoglycemia Avoidance with a Continuous Glucose Monitoring System's Predictive Low Glucose Alert
resolves10.2196/26909
Improved Low-Glucose Predictive Alerts Based on Sustained Hypoglycemia: Model Development and Validation Study
resolves10.1177/1932296814554260
Hypoglycemia Prediction Using Machine Learning Models for Patients With Type 2 Diabetes
resolves10.1371/journal.pone.0219636
Predicting long-term type 2 diabetes with support vector machine using oral glucose tolerance test
resolves10.2337/dc16-1728
Physical Activity/Exercise and Diabetes: A Position Statement of the American Diabetes Association
resolves10.3389/fnut.2016.00056
Energy Expenditure in People with Diabetes Mellitus: A Review
resolves10.1152/ajpendo.1996.271.2.E261
Relationships between sleep quality and glucose regulation in normal humans
resolves10.2169/internalmedicine.54.3498
Differences in Emotional Distress among Inpatients with Type 1, Obese Type 2, and Non-Obese Type 2 Diabetes Mellitus
resolves10.3390/s20236897
Classification of Fatigue Phases in Healthy and Diabetic Adults Using Wearable Sensor
resolves10.1145/3130919
SugarMate
resolves10.1089/dia.2012.0002
A Prototype of a New Noninvasive Device to Detect Nocturnal Hypoglycemia in Adolescents with Type 1 Diabetes—A Pilot Study
resolves10.1177/1932296814528838
A Novel Algorithm for Prediction and Detection of Hypoglycemia Based on Continuous Glucose Monitoring and Heart Rate Variability in Patients With Type 1 Diabetes
resolves10.23919/ACC.2018.8430775
Wearable Device Based Activity Recognition and Prediction for Improved Feedforward Control
resolves10.1177/1932296818822838
Glucose Management Technologies for the Critically Ill
resolves10.1007/BF00422367
Prolonged but partial impairment of the hypoglycaemic physiological response following short-term hypoglycaemia in normal subjects
The 20 references without a DOI — listed, not checked
no DOI — not checkedref1
no DOI — not checkedref2
no DOI — not checkedUse of continuous glucose monitoring systems in children with type 1 diabetes
no DOI — not checkedVariables to be monitored via biomedical sensors for complete type 1 diabetes mellitus management: an extension of the "on-board" concept
no DOI — not checkedHemophilia and type 1 diabetes: not as black as it is painted-a case report
no DOI — not checkedref9
no DOI — not checkedUtility of big data in predicting short-term blood glucose levels in type 1 diabetes mellitus through machine learning techniques
no DOI — not checkedref12
no DOI — not checkedFeature-Based Machine Learning Model for Real-Time Hypoglycemia Prediction
no DOI — not checkedIoT technologies combining glucose control with physiological signal: comparative study
no DOI — not checkedref19
no DOI — not checkedref24
no DOI — not checkedBlock based neural network for hypoglycemia detection
no DOI — not checkedTowards Wearable-based Hypoglycemia Detection and Warning in Diabetes
no DOI — not checkedEarly Detection of Hypoglycemia Events based on Biometric Sensors Prototyped on FPGAs
no DOI — not checkedMachine learning experiments with noninvasive sensors for hypoglycemia detection
no DOI — not checkedMonitoring patients with diabetes using wearable sensors: predicting glycaemias using ECG and respiration rate
no DOI — not checkedNon-linear dynamic modeling of glucose in type 1 diabetes with kernel adaptive filters
no DOI — not checkedBRIGHT guidelines on self-monitoring of blood glucose
no DOI — not checkedref37
What this badge says. CiteStamped means the CHECKABLE references of this work were clean at the dated check: each resolved to a known work in a public registry, and none carried a retraction notice at that time. It says nothing about the quality, findings, or importance of the work itself, and nothing about references deposited without a DOI.

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