Development of a scanner to prevent wounds in the feet of patients with diabetes.
- Conditions
- Diabetic Feet UlcerationDiabetische voetUlceratie
- Registration Number
- NL-OMON27099
- Lead Sponsor
- niversity of Twente
- Brief Summary
2014 Liu C An intelligent telemedicine system for detection of diabetic foot complications. http://eprints.eemcs.utwente.nl/25219/ Liu C, Van Netten JJ, Van Baal JG, Bus SA, Van der Heijden F. Automatic Detection of Diabetic Foot Complications with Infrared Thermography by Asymmetric Analysis J Biomed Opt accepted Van Netten JJ, Prijs M, Van Baal JG, Liu C, Van der Heijden F, Bus SA Diagnostic values for skin temperature assessment to detect diabetes-related foot complications Diab Technol Ther 2014 16:714-21 Liu C, Van Netten JJ, Klein ME, Van Baal JG, Bus SA, Van der Heijden F. Statistical analysis of spectral data: a methodology for designing an intelligent monitoring system for the diabetic foot. J Biomed Opt 2013 18:126004 Van Netten JJ, Van Baal JG, Liu C, Van Der Heijden F, Bus SA. Infrared thermal imaging for automated detection of diabetic foot complications. J Diabetes Sci Technol. 2013 7:1122-9 Liu C, Van der Heijden F, Klein M, Van Baal JG, Bus SA, Van Netten JJ. Infrared dermal thermography on diabetic feet soles to predict ulcerations: a case study. Advanced Biomedical and Clinical Diagnostic Systems XI, Proceedings of SPIE 2013 Liu C, Van der Heijden F, Van Netten JJ. Towards surface analysis on diabetic feet soles to predict ulcerations using photometric stereo. Advanced Biomedical and Clinical Diagnostic Systems X, Proceedings of SPIE 2012 Liu C, Van der Heijden F, Klein M, Op ‘t Root T, Van Baal JG, Bus SA, Van Netten JJ. Infrared dermal thermography for automatic detection of diabetic foot complications. Nederlands Tijdschrift voor Diabetologie 2013 11:165-6
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- Completed
- Sex
- Not specified
- Target Recruitment
- 400
1. Diabetes mellitus;
2. Aged 18 years or more;
N/A
Study & Design
- Study Type
- Observational non invasive
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method Proof of principle of the combination of modalities and software that can accurately predict (pre-signs of) ulceration in diabetic feet.
- Secondary Outcome Measures
Name Time Method Collection of data from hyperspectral, photometric and thermal measurements, as well as live assessments, to investigate modalities and develop software for the proof of principle that is the main study parameter