[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-121771-en":3,"doc-seo-121771-105":30,"detail-sidebar-cat-0-en-105":91},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"doc_content":15,"file_id":16,"file_url":17,"file_type":18,"file_size":19,"view_count":4,"is_deleted":4,"is_public":20,"is_downloadable":20,"audit_status":20,"page_count":21,"language":22,"language_code":23,"site_id":24,"html_lang":23,"table_of_contents":25,"faqs":26,"seo_title":27,"seo_description":14,"update_tm":28,"read_time":29},121771,8796095360427,"Lucas Martin","https://ap-avatar.wpscdn.com/davatar_994ba38a5ba835b3df7d355c54d3ed8d",8,"Research & Report","Machine Learning Technique to Classify EMG Signal for Diabetes Person","Diabetes can lead to diabetic peripheral neuropathy (DPN), impairing blood vessels and nerves in the legs and feet, and causing plantar foot ulcers and muscular weakness. Early detection is essential to enable timely treatment before worsening. The study develops a low-cost surface EMG (sEMG) system using Muscle Sensor V3, time-domain feature extraction, and machine learning classifiers (KNN and ANN) to distinguish healthy versus diabetic subjects during muscle fatigue. Results show ANN performs better than KNN, achieving 100% accuracy with four hidden neurons.","Machine Learning Technique to Classify EMG Signal for Diabetes Person  \nMuhammad Fathi Yakan Zulkifli 1 , Noorhamizah Mohamed Nasir 2  \n1 Universiti Tun Hussein Onn Malaysia Batu Pahat, Johor, [Malaysia. ](Malaysia. fathiyakanz96@gmail.com)[fathiyakanz96@gmail.com](Malaysia. fathiyakanz96@gmail.com)[ ](Malaysia. fathiyakanz96@gmail.com)2 Universiti Tun Hussein Onn Malaysia Batu Pahat, Johor, [Malaysia. ](Malaysia. hamizahn@uthm.edu.my)[hamizahn@uthm.edu.my](Malaysia. hamizahn@uthm.edu.my)  \nAbstract: Diabetes can cause a disease known as diabetic peripheral neuropathy (DPN), which affects the blood vessels and nerves in the legs and feet. This condition can result in plantar foot ulcers and muscular weakness.  \nDetecting DPN early stage is crucial so patients can receive early treatment before their disease worsens. Most technology that detects this disease is usually expensive, like an Electromyography machine (EMG) . But, with the increasing popularity of machine learning classification in the health sciences, DPN can be identified early by producing a low-cost equipment. This study aimed to develop a low-cost surface EMG (sEMG) system to detect electrical activity in the lower limb muscles and classify healthy and diabetic subjects during muscle fatigue using K-Nearest Neighbors (KNN) and Artificial Neural Networks (ANN) as two methods of machine learning technique. This study used Muscle Sensor V3 as sEMG to record the signal and extract using time domain feature extraction before classification. In KNN, 1–10 values (K) are used, while in ANN, 1–10 values of the number of hidden neurons are used to compare the classification performance. The result shows that ANN is suitable compared to KNN with the method used in this study.  \nANN algorithm performs better using four hidden neurons with an accuracy of 100% for the training and testing process.  \nThe study can conclude that this low-cost sEMG system, with the help of ANN, can effectively classify two subjects (healthy and diabetic) according to the EMG data obtained. This system can help to identify any diabetes neuropathy  \nat an early stage and able to prevent lower limb complications related to the disease. Keywords: Electromyography, Diabetic Neuropathy, Machine Learning, Classification.  \n1. INTRODUCTION  \nDiabetes is one of the chronic diseases with the highest growth rate [1] . DPN is a serious condition that affects up to half of the patients with diabetes [2] . Plantar foot ulcers, decreased muscle volume, and loss of motor units are serious consequences of DPN [3] . This disease may also affect the peripheral nervous system's ability to transmit nerve impulses to various body parts to control skeletal muscle function. Therefore, DPN must detected early stage so that people who have diabetes can enhance their life quality via exercise and diet changes [4] .  \nElectromyography (EMG) has been established as the standard gold test for detecting DPN and determining its severity [5] . EMG is a technique used to assess muscle condition by recording and analysing electrical activity from skeletal muscles. Electrical activity originates from the stimulation of nerve cells called motor neurons that cause muscles to contract or tighten. EMG uses electrodes to record this electrical activity to translate these signals into graphs, sounds, or numerical values. The signals produced by EMG can provide information about muscle strength and weakness [6] . However, the disadvantages of EMG are the difficulty of processing data and the expense of the equipment [7] .  \nMore recently, low-cost EMG devices have been available to develop simple electrical sEMGs (such as muscle V3 sensors) that can record biological signals. Examples of research into this topic include that conducted by Toro et al. [8], investigated where to create a cheap sEMG device to detect fatigue signs. The authors used an inexpensive EMG sensor and Arduino board to collect data on EMG activity. Successful detecti","cbCaijlEZTBqJTnp","https://ap.wps.com/l/cbCaijlEZTBqJTnp","pdf",489426,1,11,"English","en",105,"# Abstract\n# Introduction\n# Previous Study","[{\"question\":\"Why is early detection of diabetic peripheral neuropathy (DPN) important?\",\"answer\":\"Early detection allows patients to receive treatment before the disease progresses and reduces the risk of lower-limb complications such as ulcers and muscle weakness.\"},{\"question\":\"How does the proposed system record and process EMG data?\",\"answer\":\"The system uses Muscle Sensor V3 to record surface EMG and then applies time-domain feature extraction before feeding the features into machine learning classifiers.\"},{\"question\":\"Which classifier performed best in the study, and what configuration was reported?\",\"answer\":\"The ANN classifier performed better than KNN, with four hidden neurons, reporting 100% accuracy for both training and testing.\"}]","Machine Learning Technique to Classify EMG Signal for Diabetes Person | PDF",1785806757,28,{"code":4,"msg":31,"data":32},"ok",{"site_id":24,"language":23,"slug":33,"title":13,"keywords":34,"description":14,"schema_data":35,"social_meta":86,"head_meta":88,"extra_data":90,"updated_unix":28},"machine-learning-technique-to-classify-emg-signal-for-diabetes-person","",{"@graph":36,"@context":85},[37,54,68],{"@type":38,"itemListElement":39},"BreadcrumbList",[40,44,48,51],{"item":41,"name":42,"@type":43,"position":20},"https://docshare.wps.com","Home","ListItem",{"item":45,"name":46,"@type":43,"position":47},"https://docshare.wps.com/document/","Document",2,{"item":49,"name":12,"@type":43,"position":50},"https://docshare.wps.com/document/research-report/",3,{"item":52,"name":13,"@type":43,"position":53},"https://docshare.wps.com/document/machine-learning-technique-to-classify-emg-signal-for-diabetes-person/121771/",4,{"url":52,"name":13,"@type":55,"author":56,"headline":13,"publisher":58,"fileFormat":61,"inLanguage":23,"description":14,"dateModified":62,"datePublished":62,"encodingFormat":61,"isAccessibleForFree":63,"interactionStatistic":64},"DigitalDocument",{"name":9,"@type":57},"Person",{"url":41,"name":59,"@type":60},"DocShare","Organization","application/pdf","2026-08-04",true,{"@type":65,"interactionType":66,"userInteractionCount":4},"InteractionCounter",{"@type":67},"ViewAction",{"@type":69,"mainEntity":70},"FAQPage",[71,77,81],{"name":72,"@type":73,"acceptedAnswer":74},"Why is early detection of diabetic peripheral neuropathy (DPN) important?","Question",{"text":75,"@type":76},"Early detection allows patients to receive treatment before the disease progresses and reduces the risk of lower-limb complications such as ulcers and muscle weakness.","Answer",{"name":78,"@type":73,"acceptedAnswer":79},"How does the proposed system record and process EMG data?",{"text":80,"@type":76},"The system uses Muscle Sensor V3 to record surface EMG and then applies time-domain feature extraction before feeding the features into machine learning classifiers.",{"name":82,"@type":73,"acceptedAnswer":83},"Which classifier performed best in the study, and what configuration was reported?",{"text":84,"@type":76},"The ANN classifier performed better than KNN, with four hidden neurons, reporting 100% accuracy for both training and testing.","https://schema.org",{"og:url":52,"og:type":87,"og:title":13,"og:site_name":59,"og:description":14},"article",{"robots":89,"canonical":52},"index,follow",{"doc_id":7,"site_id":24},{"code":4,"msg":5,"data":92},[93,97,101,105,110,115,120,123,128,131,135],{"id":20,"doc_module":4,"doc_module_name":46,"category_name":94,"show_sort_weight":95,"slug":96},"Story & Novel",90,"story-novel",{"id":47,"doc_module":4,"doc_module_name":46,"category_name":98,"show_sort_weight":99,"slug":100},"Literature",80,"literature",{"id":53,"doc_module":4,"doc_module_name":46,"category_name":102,"show_sort_weight":103,"slug":104},"Exam",70,"exam",{"id":106,"doc_module":4,"doc_module_name":46,"category_name":107,"show_sort_weight":108,"slug":109},5,"Comic",60,"comic",{"id":111,"doc_module":4,"doc_module_name":46,"category_name":112,"show_sort_weight":113,"slug":114},6,"Technology",50,"technology",{"id":116,"doc_module":4,"doc_module_name":46,"category_name":117,"show_sort_weight":118,"slug":119},7,"Healthcare",40,"healthcare",{"id":11,"doc_module":4,"doc_module_name":46,"category_name":12,"show_sort_weight":121,"slug":122},30,"research-report",{"id":124,"doc_module":4,"doc_module_name":46,"category_name":125,"show_sort_weight":126,"slug":127},9,"Religion & Spirituality",20,"religion-spirituality",{"id":126,"doc_module":4,"doc_module_name":46,"category_name":129,"show_sort_weight":126,"slug":130},"World Cup","world-cup",{"id":132,"doc_module":4,"doc_module_name":46,"category_name":133,"show_sort_weight":132,"slug":134},10,"Lifestyle","lifestyle",{"id":136,"doc_module":4,"doc_module_name":46,"category_name":137,"show_sort_weight":106,"slug":138},19,"General","general"]