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Pubmed for Handhelds
PUBMED FOR HANDHELDS
Journal Abstract Search
246 related items for PubMed ID: 28809669
41. Design of User-Independent Hand Gesture Recognition Using Multilayer Perceptron Networks and Sensor Fusion Techniques. Colli-Alfaro JG, Ibrahim A, Trejos AL. IEEE Int Conf Rehabil Robot; 2019 Jun; 2019():1103-1108. PubMed ID: 31374777 [Abstract] [Full Text] [Related]
42. Experimental evaluation of a sEMG-based control for elbow wearable assistive devices during load lifting tasks. Meattini R, Palli G, Melchiorri C. IEEE Int Conf Rehabil Robot; 2017 Jul; 2017():140-145. PubMed ID: 28813808 [Abstract] [Full Text] [Related]
43. Extracting aerobic system dynamics during unsupervised activities of daily living using wearable sensor machine learning models. Beltrame T, Amelard R, Wong A, Hughson RL. J Appl Physiol (1985); 2018 Feb 01; 124(2):473-481. PubMed ID: 28596271 [Abstract] [Full Text] [Related]
44. [Study on surface electromyography characteristics of human upper limb during daily living activities]. Song H, Zhang J, Liu T, Gao S. Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2009 Dec 01; 26(6):1177-80. PubMed ID: 20095464 [Abstract] [Full Text] [Related]
45. User-Independent Recognition of Sports Activities From a Single Wrist-Worn Accelerometer: A Template-Matching-Based Approach. Margarito J, Helaoui R, Bianchi AM, Sartor F, Bonomi AG. IEEE Trans Biomed Eng; 2016 Apr 01; 63(4):788-96. PubMed ID: 26302509 [Abstract] [Full Text] [Related]
46. Integrating Wearable Textiles Sensors and IoT for Continuous sEMG Monitoring. Etana BB, Malengier B, Krishnamoorthy J, Van Langenhove L. Sensors (Basel); 2024 Mar 13; 24(6):. PubMed ID: 38544097 [Abstract] [Full Text] [Related]
49. Development of a 3D workspace shoulder assessment tool incorporating electromyography and an inertial measurement unit-a preliminary study. Aslani N, Noroozi S, Davenport P, Hartley R, Dupac M, Sewell P. Med Biol Eng Comput; 2018 Jun 13; 56(6):1003-1011. PubMed ID: 29127653 [Abstract] [Full Text] [Related]
50. Inertial and time-of-arrival ranging sensor fusion. Vasilyev P, Pearson S, El-Gohary M, Aboy M, McNames J. Gait Posture; 2017 May 13; 54():1-7. PubMed ID: 28242567 [Abstract] [Full Text] [Related]
51. Application of higher order statistics to surface electromyogram signal classification. Nazarpour K, Sharafat AR, Firoozabadi SM. IEEE Trans Biomed Eng; 2007 Oct 13; 54(10):1762-9. PubMed ID: 17926674 [Abstract] [Full Text] [Related]
52. Exploration of Chinese Sign Language Recognition Using Wearable Sensors Based on Deep Belief Net. Yu Y, Chen X, Cao S, Zhang X, Chen X. IEEE J Biomed Health Inform; 2020 May 13; 24(5):1310-1320. PubMed ID: 31536027 [Abstract] [Full Text] [Related]
55. Activity classification in persons with stroke based on frequency features. Laudanski A, Brouwer B, Li Q. Med Eng Phys; 2015 Feb 13; 37(2):180-6. PubMed ID: 25559935 [Abstract] [Full Text] [Related]
57. A two-dimensional matrix image based feature extraction method for classification of sEMG: A comparative analysis based on SVM, KNN and RBF-NN. Wen T, Zhang Z, Qiu M, Zeng M, Luo W. J Xray Sci Technol; 2017 Feb 13; 25(2):287-300. PubMed ID: 28269818 [Abstract] [Full Text] [Related]