{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,4]],"date-time":"2025-06-04T05:46:49Z","timestamp":1749016009771,"version":"3.28.0"},"reference-count":30,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,9,18]],"date-time":"2023-09-18T00:00:00Z","timestamp":1694995200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,9,18]],"date-time":"2023-09-18T00:00:00Z","timestamp":1694995200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,9,18]]},"DOI":"10.1109\/ispa58351.2023.10279445","type":"proceedings-article","created":{"date-parts":[[2023,10,19]],"date-time":"2023-10-19T17:58:32Z","timestamp":1697738312000},"page":"1-6","source":"Crossref","is-referenced-by-count":4,"title":["Impact of Measurement Conditions on Classification of ADL using Surface EMG Signals"],"prefix":"10.1109","author":[{"given":"Vidya","family":"Sagar Venna","sequence":"first","affiliation":[{"name":"IIIT Sri City,Biosignal Analysis Group,Sri City,India"}]},{"given":"Anish","family":"Turlapaty","sequence":"additional","affiliation":[{"name":"IIIT Sri City,Biosignal Analysis Group,Sri City,India"}]},{"given":"Surya","family":"Naidu","sequence":"additional","affiliation":[{"name":"IIIT Sri City,Biosignal Analysis Group,Sri City,India"}]}],"member":"263","reference":[{"issue":"20","key":"ref1","doi-asserted-by":"crossref","DOI":"10.3390\/s22207966","article-title":"On the applications of emg sensors and signals","volume":"22","author":"Kamavuako","year":"2022","journal-title":"Sensors"},{"key":"ref2","article-title":"Applications of EMG in Clinical and Sports Medicine","author":"Steele","year":"2012","journal-title":"Rijeka: IntechOpen"},{"issue":"1","key":"ref3","doi-asserted-by":"crossref","first-page":"45","DOI":"10.1186\/s12984-021-00839-x","article-title":"Activities of daily living with bionic arm improved by combination training and latching filter in prosthesis control comparison","volume":"18","author":"Paskett","year":"2021","journal-title":"Journal of NeuroEngineering and Rehabilitation"},{"key":"ref4","article-title":"Design and Development of an Open-Source Adl-Compliant Prosthetic Arm for Trans-Radial Amputees, ser. Frontiers in Biomedical Devices","volume-title":"Design of Medical Devices Conference","volume":"2022","year":"2022"},{"issue":"4","key":"ref5","doi-asserted-by":"crossref","DOI":"10.3390\/s21041024","article-title":"Using a system-based monitoring paradigm to assess fatigue during submaximal static exercise of the elbow extensor muscles","volume":"21","author":"Madden","year":"2021","journal-title":"Sensors"},{"issue":"4","key":"ref6","doi-asserted-by":"crossref","first-page":"885","DOI":"10.1109\/TBME.2017.2724543","article-title":"An ambulatory gait monitoring system with activity classification and gait parameter calculation based on a single foot inertial sensor","volume":"65","author":"Song","year":"2018","journal-title":"IEEE Transactions on Biomedical Engineering"},{"issue":"4","key":"ref7","doi-asserted-by":"crossref","first-page":"979","DOI":"10.1109\/JBHI.2017.2734803","article-title":"Automatic recognition of activities of daily living utilizing insole-based and wrist-worn wearable sensors","volume":"22","author":"Hegde","year":"2018","journal-title":"IEEE Journal of Biomedical and Health Informatics"},{"issue":"1","key":"ref8","doi-asserted-by":"crossref","first-page":"197","DOI":"10.1109\/JBHI.2018.2820179","article-title":"Physical activity classification for elderly people in free-living conditions","volume":"23","author":"Awais","year":"2019","journal-title":"IEEE Journal of Biomedical and Health Informatics"},{"issue":"1","key":"ref9","doi-asserted-by":"crossref","first-page":"197","DOI":"10.1109\/TNSRE.2017.2745418","article-title":"U sing inertial sensors to automatically detect and segment activities of daily living in people with parkinsons disease","volume":"26","author":"Nguyen","year":"2018","journal-title":"IEEE Transactions on Neural Systems and Rehabilitation Engineering"},{"key":"ref10","doi-asserted-by":"crossref","DOI":"10.3389\/fneur.2017.00007","article-title":"Proof of concept of an online emg-based decoding of hand postures and individual digit forces for prosthetic hand control","volume":"8","author":"Gailey","year":"2017","journal-title":"Frontiers in Neurology"},{"issue":"2","key":"ref11","doi-asserted-by":"crossref","first-page":"2650","DOI":"10.1109\/LRA.2021.3062320","article-title":"Toward deep generalization of peripheral emg-based human-robot interfacing: A hybrid explainable solution for neurorobotic systems","volume":"6","author":"Gulati","year":"2021","journal-title":"IEEE Robotics and Automation Letters"},{"issue":"7","key":"ref12","doi-asserted-by":"crossref","first-page":"7099","DOI":"10.1109\/TIE.2021.3097666","article-title":"An emg-based deep learning approach for multi-dof wrist movement decoding","volume":"69","author":"Yang","year":"2022","journal-title":"IEEE Transactions on Industrial Electronics"},{"issue":"4","key":"ref13","doi-asserted-by":"crossref","first-page":"041004","DOI":"10.1088\/1741-2552\/ac1176","article-title":"Myoelectric control of robotic lower limb prostheses: a review of electromyography interfaces, control paradigms, challenges and future directions","volume":"18","author":"Fleming","year":"2021","journal-title":"Journal of Neural Engineering"},{"key":"ref14","doi-asserted-by":"crossref","first-page":"10150","DOI":"10.1109\/ACCESS.2019.2891350","article-title":"Intelligent emg pattern recognition control method for upper-limb multifunctional prostheses: Advances, current challenges, and future prospects","volume":"7","author":"Samuel","year":"2019","journal-title":"IEEE Access"},{"key":"ref15","first-page":"6337","article-title":"Examining the adverse effects of limb position on pattern recognition based myoelectric control","volume-title":"Annu Int Conf IEEE Eng Med Biol Soc","volume":"2010","author":"Scheme","year":"2010"},{"issue":"1","key":"ref16","doi-asserted-by":"crossref","first-page":"74","DOI":"10.1186\/1743-0003-9-74","article-title":"Toward attenuating the impact of arm positions on electromyography pattern-recognition based motion classification in transradial amputees","volume":"9","author":"Geng","year":"2012","journal-title":"Journal of NeuroEngineering and Rehabilitation"},{"issue":"1","key":"ref17","doi-asserted-by":"crossref","first-page":"83","DOI":"10.1007\/s11517-019-02073-z","article-title":"Evaluation of surface EMG-based recognition algorithms for decoding hand movements","volume":"58","author":"Abbaspour","year":"2020","journal-title":"Medical & Biological Engineering & Computing"},{"issue":"1","key":"ref18","doi-asserted-by":"crossref","first-page":"134","DOI":"10.1109\/JBHI.2015.2490718","article-title":"Classification of multiple finger motions during dynamic upper limb movements","volume":"21","author":"Yang","year":"2017","journal-title":"IEEE Journal of Biomedical and Health Informatics"},{"key":"ref19","first-page":"1","article-title":"Recurrent convolutional neural networks as an approach to position-aware myoelectric prosthesis control","volume":"PP","author":"Williams","year":"2022","journal-title":"IEEE Transactions on Biomedical Engineering"},{"key":"ref20","doi-asserted-by":"crossref","first-page":"42","DOI":"10.1016\/j.neunet.2014.03.010","article-title":"Towards limb position invariant myoelectric pattern recognition using time-dependent spectral features","volume":"55","author":"Khushaba","year":"2014","journal-title":"Neural Networks"},{"issue":"2011","key":"ref21","first-page":"139","article-title":"Effect of upper-limb positions on motion pattern recognition using electromyography","volume-title":"2011 4th International Congress on Image and Signal Processing","volume":"1","author":"Chen"},{"key":"ref22","doi-asserted-by":"crossref","first-page":"58","DOI":"10.3389\/fnbot.2018.00058","article-title":"Causes of performance degradation in non-invasive electromyographic pattern recognition in upper limb prostheses","volume":"12","author":"Kyranou","year":"2018","journal-title":"Front Neurorobot"},{"key":"ref23","article-title":"Electromyography Analysis of Human Activities - DataBase 4 (EMAHA-DB4)","author":"Sagar","year":"2023","journal-title":"Harvard Dataverse"},{"key":"ref24","article-title":"Crams Introduction to Surface Electromyography, ser. G - Reference, Information and Interdisciplinary Subjects Series","author":"Criswell","year":"2011","journal-title":"Jones & Bartlett Learning"},{"key":"ref25","doi-asserted-by":"crossref","DOI":"10.1109\/BIBM52615.2021.9669872","volume-title":"Real-time emg signal classification via recurrent neural networks","author":"Azhiri","year":"2021"},{"issue":"24","key":"ref26","doi-asserted-by":"crossref","first-page":"12196","DOI":"10.1109\/JSEN.2019.2937979","article-title":"Feature analysis for classification of physical actions using surface emg data","volume":"19","author":"Turlapaty","year":"2019","journal-title":"IEEE Sensors Journal"},{"key":"ref27","doi-asserted-by":"crossref","first-page":"102948","DOI":"10.1016\/j.bspc.2021.102948","article-title":"Classification of semg signals of hand gestures based on energy features","volume":"70","author":"Karnam","year":"2021","journal-title":"Biomedical Signal Processing and Control"},{"key":"ref28","doi-asserted-by":"crossref","first-page":"4359","DOI":"10.3390\/s20164359","article-title":"Analysis of influence of segmentation, features, and classification in semg processing: A case study of recognition of brazilian sign language alphabet","volume":"20","author":"Mendes","year":"2020","journal-title":"Sensors"},{"volume-title":"Emg-based feature extraction and classification for prosthetic hand control","year":"2021","author":"Azhiri","key":"ref29"},{"issue":"1","key":"ref30","doi-asserted-by":"crossref","first-page":"325","DOI":"10.1016\/j.bbe.2022.02.005","article-title":"EMGHandNet: A hybrid CNN and Bi-LSTM architecture for hand activity classification using surface EMG signals","volume":"42","author":"Karnam","year":"2022","journal-title":"Biocybernetics and Biomedical Engineering"}],"event":{"name":"2023 International Symposium on Image and Signal Processing and Analysis (ISPA)","start":{"date-parts":[[2023,9,18]]},"location":"Rome, Italy","end":{"date-parts":[[2023,9,19]]}},"container-title":["2023 International Symposium on Image and Signal Processing and Analysis (ISPA)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10278502\/10278578\/10279445.pdf?arnumber=10279445","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,6,26]],"date-time":"2024-06-26T17:40:03Z","timestamp":1719423603000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10279445\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,9,18]]},"references-count":30,"URL":"https:\/\/doi.org\/10.1109\/ispa58351.2023.10279445","relation":{},"subject":[],"published":{"date-parts":[[2023,9,18]]}}}