A Novel Low-Cost Wireless Footwear System for Monitoring Diabetic Foot Patients

Wang, Dongran; Ouyang, Jianquan; Zhou, Peiru; Yan, Junlan; Shu, Lin; Xu, Xiangmin

doi:10.1109/tbcas.2020.3043538

Cited by 34 publications

(37 citation statements)

References 41 publications

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“…Diabetes self-management can be greatly improved with the use of smartphones and modern information technology. Exciting results from Kirwan and colleagues' research show that a diabetes self-management mobile app can reduce HbA1c levels in patients [7]. However, medical professionals, academics, and app developers must collaborate to create a better diabetes self-management mobile app, with consideration for the target audience's age [8].…”

Section: Introductionmentioning

confidence: 99%

[Retracted] Machine Learning Implementation of a Diabetic Patient Monitoring System Using Interactive E‐App

Alazzam

Mansour

Alassery

et al. 2021

Computational Intelligence and Neuroscience

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Lifestyle influences morbidity and mortality rates in the world. Physical activity, a healthy weight, and a healthy diet are key preventative health behaviours that help reduce the risk of developing type 2 diabetes and its complications, such as cardiovascular disease. A healthy lifestyle has been shown to prevent or delay chronic diseases and their complications, but few people follow all recommended self-management behaviours. This work seeks to improve knowledge of factors affecting type 2 diabetes self-management and prevention through lifestyle changes. This paper describes the design, development, and testing of a diabetes self-management mobile app. The app tracked dietary consumption and health data. Bluetooth movement data from a pair of wearable insole devices are used to track carbohydrate intake, blood glucose, medication adherence, and physical activity. Two machine learning models were constructed to recognise sitting and standing. The SVM and decision tree models were 86% accurate for these tasks. The decision tree model is used in a real-time activity classification app. It is exciting to see more and more mobile health self-management apps being used to treat chronic diseases.

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Section: Introductionmentioning

confidence: 99%

[Retracted] Machine Learning Implementation of a Diabetic Patient Monitoring System Using Interactive E‐App

Alazzam

Mansour

Alassery

et al. 2021

Computational Intelligence and Neuroscience

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“…In most publications ( n = 31), data was still not being transmitted directly to medical centers or end-users, but rather raw measurements were downloaded from devices or visualized through software’s Graphical User Interface [ 59 ] to be analyzed by researchers or healthcare professionals. In some studies, processed data from body-worn sensors were typically transmitted to patients using mobile phones as the main information gateway [ 62 , 67 , 70 , 73 , 74 , 78 ]. In the work conducted by Schneider et al (2019) [ 70 ], patients received at least two tailored text messages per week aiming at encouraging activity and strategic behavioral changes, whereas in Reyzelman et al (2018) [ 67 ], Torreblanca González et al [ 73 ] and Wang et al (2021) [ 74 ] individuals were able to visualize images with foot temperature maps through their mobile phones, including alerts once foot temperature differences are detected [ 73 ].…”

Section: Resultsmentioning

confidence: 99%

“…Disagreements were resolved through consensus involving the assessment of all four reviewers. The complete list of included articles is presented in the References section [ 26 , 27 , 28 , 29 , 30 , 31 , 32 , 33 , 34 , 35 , 36 , 37 , 38 , 39 , 40 , 41 , 42 , 43 , 44 , 45 , 46 , 47 , 48 , 49 , 50 , 51 , 52 , 53 , 54 , 55 , 56 , 57 , 58 , 59 , 60 , 61 , 62 , 63 , 64 , 65 , 66 , 67 , 68 , 69 , 70 , 71 , 72 , 73 , 74 , 75 , 76 , 77 , 78 , 79 ].…”

Section: Methodsmentioning

confidence: 99%

Smart Wearable Systems for the Remote Monitoring of Selected Vascular Disorders of the Lower Extremity: A Systematic Review

Souza

Escadas

Baxevani

et al. 2022

IJERPH

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This systematic review aims at providing an overview of the state of the art regarding smart wearable systems (SWS) applications to monitor the status of patients suffering from vascular disorders of the lower extremity. Peer-reviewed literature has been analyzed to identify employed data collection methods, system characteristics, and functionalities, and research challenges and limitations to be addressed. The Medline (PubMed) and SCOPUS databases were considered to search for publications describing SWS for remote or continuous monitoring of patients suffering from intermittent claudication, venous ulcers, and diabetic foot ulcers. Publications were first screened based on whether they describe an SWS applicable to the three selected vascular disorders of the lower extremity, including data processing and output to users. Information extracted from publications included targeted disease, clinical parameters to be measured and wearable devices used; system outputs to the user; system characteristics, including capabilities of remote or continuous monitoring or functionalities resulting from advanced data analyses, such as coaching, recommendations, or alerts; challenges and limitations reported; and research outputs. A total of 128 publications were considered in the full-text analysis, and 54 were finally included after eligibility criteria assessment by four independent reviewers. Our results were structured and discussed according to three main topics consisting of data collection, system functionalities, and limitations and challenges.

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“…Uncontrolled diabetes mellitus also increases the severity of disease and makes patients more prone towards complications including diabetic foot (20). Data shows that bad selection of shoes like chappals by diabetics having no support for heel and divider that is splitting the toes is one of major risk factor (21). Detailed feet examination should be carried out at each follow up visit by the physician to prevent neuropathy at its initial stage (22,23).…”

Section: Discussionmentioning

confidence: 99%

Knowledge, Attitude and Practices (Kap) on Diabetic Foot Care Among Patients With Diabetes in District Bahawalpur, Pakistan

Shamim

Sumreen

Asif

2021

Preprint

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Diabetes mellitus is a chronic multifactorial metabolic illness that is characterized by numerous chronic complications. Diabetes affects almost every system of the body. Among these diabetic foot is one of the major complications of diabetes mellitus. Its main objective was to investigate the knowledge, attitude and foot care practices in diabetic patients suffering from diabetic foot lesions. An institutional-based cross-sectional study was designed to be conducted at Civil Hospital, Bahawalpur, Pakistan. Total 150 diabetic patients were selected by systematic random sampling method. Ratio of Type II diabetes was 91.3% whereas 23.3% patients were having family history of diabetes. 44.35% patients were having some knowledge about diabetes related complications whereas 45.44% patients were having a positive attitude towards control and prevention of diabetes related complications. Good foot care and footwear practices were being carried out by just 33.62% of the patients. Education regarding reducing increased body weight, knowledge about foot care practices, early detection and management of peripheral neuropathy and strict glycemic control could be very helpful in decreasing the diabetic foot complication.

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A Novel Low-Cost Wireless Footwear System for Monitoring Diabetic Foot Patients

Cited by 34 publications

References 41 publications

[Retracted] Machine Learning Implementation of a Diabetic Patient Monitoring System Using Interactive E‐App

[Retracted] Machine Learning Implementation of a Diabetic Patient Monitoring System Using Interactive E‐App

Smart Wearable Systems for the Remote Monitoring of Selected Vascular Disorders of the Lower Extremity: A Systematic Review

Knowledge, Attitude and Practices (Kap) on Diabetic Foot Care Among Patients With Diabetes in District Bahawalpur, Pakistan

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