Adam, M., Ng, E. Y. K., Oh, S. L., Heng, M. L., Hagiwara, Y., Tan, J. H., Tong, J. W. K., & Acharya, U. R. (2018). Automated detection of diabetic foot with and without neuropathy using double density-dual tree-complex wavelet transform on foot thermograms. Infrared Physics and Technology, 92(April), 270–279.
Aliahmad, B., Tint, A. N., Poosapadi Arjunan, S., Rani, P., Kumar, D. K., Miller, J., Zajac, J. D., Wang, G., & Ekinci, E. I. (2019). Is Thermal Imaging a Useful Predictor of the Healing Status of Diabetes-Related Foot Ulcers? A Pilot Study. Journal of Diabetes Science and Technology, 13(3), 561–567.
Bandalakunta Gururajarao, S., Venkatappa, U., Shivaram, J. M., Sikkandar, M. Y., & Al Amoudi, A. (2019). Infrared Thermography and Soft Computing for Diabetic Foot Assessment. Machine Learning in Bio-Signal Analysis and Diagnostic Imaging, January, 73–97.
Bus, S. A., Stegge, W. B. De, Baal, J. G. Van, Busch-, T. E., Nollet, F., & Netten, J. J. Van. (2021). Effectiveness of at- ¬ home skin temperature monitoring in reducing the incidence of foot ulcer recurrence in people with diabetes : a multicenter randomized controlled trial ( DIATEMP ). 1–11.
Cho, N. H., Shaw, J. E., Karuranga, S., Huang, Y., Rocha, J. D., Ohlrogge, A. W., & Malanda, B. (2018). IDF Diabetes Atlas : Global estimates of diabetes prevalence for 2017 and projections for 2045. Diabetes Research and Clinical Practice, 138, 271–281.
Doremalen, R F M Van, Netten, J. J. Van, & Baal, J. G. Van. (2019). Validation of low-cost smartphone-based thermal camera for diabetic foot assessment. 9, 0–7.
Global Report on Diabetes. (2016). In World Health Organization. https://www.who.int/publications/i/item/9789241565257, accessed 21 March 2024
Ilo, A., Romsi, P., & Mäkelä, J. (2020). Infrared Thermography and Vascular Disorders in Diabetic Feet. Journal of Diabetes Science and Technology, 14(1), 28–36.
Liu, C., van Netten, J. J., van Baal, J. G., Bus, S. A., & van der Heijden, F. (2015). Automatic detection of diabetic foot complications with infrared thermography by asymmetric analysis. Journal of Biomedical Optics, 20(2), 026003.
Maddah, E., & Beigzadeh, B. (2020). Use of a smartphone thermometer to monitor thermal conductivity changes in diabetic foot ulcers: A pilot study. Journal of Wound Care, 29(1), 61–66.
Mamédio, C., Investigación, P. D. E., Búsqueda, Y. L. A., & Evidências, D. E. P. E. B. D. E. (2007). THE PICO STRATEGY FOR THE RESEARCH QUESTION CONSTRUCTION AND EVIDENCE SEARCH. 15(3), 508–511.
Moher, D., Liberati, A., Tetzlaff, J., Altman, D. G., & Group, P. (2009). & reporting Preferred reporting items for systematic reviews and meta-analyses : the PRISMA statement. 339(august). 1-10.
Moola, S., Munn, Z., Tufanaru, C., Aromataris, E., Sears, K., & Sfetcu, R Currie M, Qureshi R, Mattis P, Lisy K, M. P.-F. (2017). Checklist for analytical cross sectional studies. Joanna Briggs Institute Reviewer’s Manual, 1–7.
Moxey, P. W., Gogalniceanu, P., Hinchliffe, R. J., Loftus, I. M., Jones, K. J., Thompson, M. M., & Holt, P. J. (2011). Lower extremity amputations - a review of global variability in incidence. Diabetic Medicine, 28(10), 1144–1153.
Nagase, T., Sanada, H., Takehara, K., Oe, M., Iizaka, S., Ohashi, Y., Oba, M., Kadowaki, T., & Nakagami, G. (2011). Variations of plantar thermographic patterns in normal controls and non-ulcer diabetic patients: Novel classification using angiosome concept. Journal of Plastic, Reconstructive and Aesthetic Surgery, 64(7), 860–866.
Petrova, N. L., Whittam, A., Macdonald, A., Ainarkar, S., Donaldson, A. N., Bevans, J., Allen, J., Plassmann, P., Kluwe, B., Ring, F., Rogers, L., Simpson, R., Machin, G., & Edmonds, M. E. (2018). Reliability of a novel thermal imaging system for temperature assessment of healthy feet. Journal of Foot and Ankle Research, 11(22), 1–6.
van Doremalen, Rob F.M., van Netten, J. J., van Baal, J. G., Vollenbroek-Hutten, M. M. R., & van der Heijden, F. (2020). Infrared 3D Thermography for Inflammation Detection in Diabetic Foot Disease: A Proof of Concept. Journal of Diabetes Science and Technology, 14(1), 46–54.
Van Netten, J. J., Van Baal, J. G., Liu, C., Van Der Heijden, F., & Bus, S. A. (2013). Infrared thermal imaging for automated detection of diabetic foot complications. Journal of Diabetes Science and Technology, 7(5), 1122–1129.
Zhang, P., Lu, J., Jing, Y., Tang, S., Zhu, D., & Bi, Y. (2017). Global epidemiology of diabetic foot ulceration: a systematic review and meta-analysis. In Annals of Medicine (Vol. 49, Issue 2, pp. 106–116). Taylor and Francis Ltd.
Zhou, Q., Qian, Z., Wu, J., Liu, J., Ren, L., & Ren, L. (2021). Early diagnosis of diabetic peripheral neuropathy based on infrared thermal imaging technology. Diabetes/Metabolism Research and Reviews, 37(7), 0–3.