Design and Implementation of a Smart Insole System to Measure Plantar Pressure and Temperature

Article Engineering, Electrical & Electronic

A Portable Insole System to Simultaneously Measure Plantar Pressure and Shear Stress

Lefan Wang et al.

Summary: SLIPS is the first in-shoe measurement system capable of measuring both pressure and shear across the whole plantar surface simultaneously, providing technical support for better understanding and prevention of clinical conditions.

IEEE SENSORS JOURNAL (2022)

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Article Chemistry, Analytical

Thermal Change Index-Based Diabetic Foot Thermogram Image Classification Using Machine Learning Techniques

Amith Khandakar et al.

Summary: In this study, infrared thermography and machine learning methods were used for early diagnosis of diabetic foot complications, by categorizing different classes of thermal images and obtaining validation from experts, and found that the multilayer perceptron (MLP) classifier combined with feature extraction showed the best performance in multi-class classification accuracy.

SENSORS (2022)

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Article Chemistry, Analytical

A Novel Machine Learning Approach for Severity Classification of Diabetic Foot Complications Using Thermogram Images

Amith Khandakar et al.

Summary: Diabetic foot ulcers are a serious complication for diabetic patients, and infrared foot thermograms can be used to detect ulceration risk. This study utilizes machine learning techniques and expert validation to classify thermograms, with the VGG 19 CNN model achieving the best performance in severity stratification.

SENSORS (2022)

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Article Biology

A machine learning model for early detection of diabetic foot using thermogram images

Amith Khandakar et al.

Summary: Research shows that using machine learning and Convolutional Neural Networks can effectively identify diabetic foot, with the MobilenetV2 model and AdaBoost classifier achieving high accuracy.

COMPUTERS IN BIOLOGY AND MEDICINE (2021)

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Article Endocrinology & Metabolism

An intelligent insole system with personalised digital feedback reduces foot pressures during daily life: An 18-month randomised controlled trial

Katie E. Chatwin et al.

Summary: The study demonstrates that continuous use of an intelligent insole system can reduce the number of high-pressure bouts in high-risk DFU patients, helping patients learn which activities generate high pressure and take preemptive measures.

DIABETES RESEARCH AND CLINICAL PRACTICE (2021)

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Article Chemistry, Analytical

Monitoring of Dynamic Plantar Foot Temperatures in Diabetes with Personalised 3D-Printed Wearables

Christopher Beach et al.

Summary: Research suggests that in patients with diabetes, the rate of temperature rise at certain parts of the foot is faster during resting, indicating a potential risk factor for diabetic foot ulcers and a possible biomarker for disease progression.

SENSORS (2021)

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Article Medicine, General & Internal

Mortality Prediction Utilizing Blood Biomarkers to Predict the Severity of COVID-19 Using Machine Learning Technique

Tawsifur Rahman et al.

Summary: This paper presents an early prediction model for high mortality risk in both COVID-19 and non-COVID-19 patients, demonstrating good performance in datasets from two different countries by identifying key parameters and developing a scoring technique. This can help physicians identify high mortality risk patients early on.

DIAGNOSTICS (2021)

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Article Computer Science, Information Systems

Optically Instrumented Insole for Gait Plantar and Shear Force Monitoring

Catia Tavares et al.

Summary: The study introduces a FBGs-based sensing insole that can measure PF and SF simultaneously through four measuring points for comprehensive gait analysis. Each sensing point contains a sensor-cell with two FBGs to monitor PF and SF separately. Experimental results align with theoretical expectations.

IEEE ACCESS (2021)

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Article Computer Science, Information Systems

A Transparent and Privacy-Preserving Healthcare Platform With Novel Smart Contract for Smart Cities

Abdullah Al Omar et al.

Summary: A smart city ensures quality maintenance in various sectors, with data privacy and security becoming a rising concern for EHR in smart cities. Association of patients' financial data with EHRs for certain insurance policies raises security challenges. The use of blockchain framework is proposed to safeguard patients' personal information and insurance policies, enhancing data privacy and transparency in the healthcare system.

IEEE ACCESS (2021)

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Article Chemistry, Analytical