These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
214 related articles for article (PubMed ID: 37177436)
21. A Wearable-Sensor System with AI Technology for Real-Time Biomechanical Feedback Training in Hammer Throw. Wang Y; Shan G; Li H; Wang L Sensors (Basel); 2022 Dec; 23(1):. PubMed ID: 36617025 [TBL] [Abstract][Full Text] [Related]
22. Indirect measurement of anterior-posterior ground reaction forces using a minimal set of wearable inertial sensors: from healthy to hemiparetic walking. Revi DA; Alvarez AM; Walsh CJ; De Rossi SMM; Awad LN J Neuroeng Rehabil; 2020 Jun; 17(1):82. PubMed ID: 32600348 [TBL] [Abstract][Full Text] [Related]
23. A comparison of machine learning models' accuracy in predicting lower-limb joints' kinematics, kinetics, and muscle forces from wearable sensors. Moghadam SM; Yeung T; Choisne J Sci Rep; 2023 Mar; 13(1):5046. PubMed ID: 36977706 [TBL] [Abstract][Full Text] [Related]
24. A Nonproprietary Movement Analysis System (MoJoXlab) Based on Wearable Inertial Measurement Units Applicable to Healthy Participants and Those With Anterior Cruciate Ligament Reconstruction Across a Range of Complex Tasks: Validation Study. Islam R; Bennasar M; Nicholas K; Button K; Holland S; Mulholland P; Price B; Al-Amri M JMIR Mhealth Uhealth; 2020 Jun; 8(6):e17872. PubMed ID: 32543446 [TBL] [Abstract][Full Text] [Related]
25. IMU-to-Segment Assignment and Orientation Alignment for the Lower Body Using Deep Learning. Zimmermann T; Taetz B; Bleser G Sensors (Basel); 2018 Jan; 18(1):. PubMed ID: 29351262 [TBL] [Abstract][Full Text] [Related]
26. Interactive wearable systems for upper body rehabilitation: a systematic review. Wang Q; Markopoulos P; Yu B; Chen W; Timmermans A J Neuroeng Rehabil; 2017 Mar; 14(1):20. PubMed ID: 28284228 [TBL] [Abstract][Full Text] [Related]
27. Wearable Monitoring of Joint Angle and Muscle Activity. Cotton RJ; Rogers J IEEE Int Conf Rehabil Robot; 2019 Jun; 2019():258-263. PubMed ID: 31374639 [TBL] [Abstract][Full Text] [Related]
28. Adaptive Gravity Compensation Framework Based on Human Upper Limb Model for Assistive Robotic Arm Extender. Yang S; Luo L; Liu M; Chen J; Law WC; Yuan M; Li L; Ang WT IEEE Int Conf Rehabil Robot; 2023 Sep; 2023():1-6. PubMed ID: 37941245 [TBL] [Abstract][Full Text] [Related]
29. Machine-Learning-Based Methodology for Estimation of Shoulder Load in Wheelchair-Related Activities Using Wearables. Amrein S; Werner C; Arnet U; de Vries WHK Sensors (Basel); 2023 Feb; 23(3):. PubMed ID: 36772617 [TBL] [Abstract][Full Text] [Related]
30. Validation of a model-based inverse kinematics approach based on wearable inertial sensors. Tagliapietra L; Modenese L; Ceseracciu E; Mazzà C; Reggiani M Comput Methods Biomech Biomed Engin; 2018 Dec; 21(16):834-844. PubMed ID: 30466324 [TBL] [Abstract][Full Text] [Related]
31. Evaluation of Machine Learning Models for Classifying Upper Extremity Exercises Using Inertial Measurement Unit-Based Kinematic Data. Hua A; Chaudhari P; Johnson N; Quinton J; Schatz B; Buchner D; Hernandez ME IEEE J Biomed Health Inform; 2020 Sep; 24(9):2452-2460. PubMed ID: 32750927 [TBL] [Abstract][Full Text] [Related]
32. Estimating Ground Reaction Forces from Two-Dimensional Pose Data: A Biomechanics-Based Comparison of AlphaPose, BlazePose, and OpenPose. Mundt M; Born Z; Goldacre M; Alderson J Sensors (Basel); 2022 Dec; 23(1):. PubMed ID: 36616676 [TBL] [Abstract][Full Text] [Related]
33. Application of Inertial Measurement Units and Machine Learning Classification in Cerebral Palsy: Randomized Controlled Trial. Khaksar S; Pan H; Borazjani B; Murray I; Agrawal H; Liu W; Elliott C; Imms C; Campbell A; Walmsley C JMIR Rehabil Assist Technol; 2021 Oct; 8(4):e29769. PubMed ID: 34668870 [TBL] [Abstract][Full Text] [Related]
34. Gait Phase Recognition Using Deep Convolutional Neural Network with Inertial Measurement Units. Su B; Smith C; Gutierrez Farewik E Biosensors (Basel); 2020 Aug; 10(9):. PubMed ID: 32867277 [TBL] [Abstract][Full Text] [Related]
35. Closed-Chain Inverse Dynamics for the Biomechanical Analysis of Manual Material Handling Tasks through a Deep Learning Assisted Wearable Sensor Network. Bezzini R; Crosato L; Teppati Losè M; Avizzano CA; Bergamasco M; Filippeschi A Sensors (Basel); 2023 Jun; 23(13):. PubMed ID: 37447734 [TBL] [Abstract][Full Text] [Related]
36. ISB recommendations on the definition, estimation, and reporting of joint kinematics in human motion analysis applications using wearable inertial measurement technology. Cereatti A; Gurchiek R; Mündermann A; Fantozzi S; Horak F; Delp S; Aminian K J Biomech; 2024 Aug; 173():112225. PubMed ID: 39032224 [TBL] [Abstract][Full Text] [Related]
37. Posture Monitoring and Correction Exercises for Workers in Hostile Environments Utilizing Non-Invasive Sensors: Algorithm Development and Validation. Khaksar S; Pieters S; Borazjani B; Hyde J; Booker H; Khokhar A; Murray I; Campbell A Sensors (Basel); 2022 Dec; 22(24):. PubMed ID: 36559987 [TBL] [Abstract][Full Text] [Related]
38. Three-dimensional GRF and CoP Estimation during Stair and Slope Ascent/Descent with Wearable IMUs and Foot Pressure Sensors. Fukushi K; Sekiguchi Y; Honda K; Yaguchi H; Izumi SI Annu Int Conf IEEE Eng Med Biol Soc; 2019 Jul; 2019():6401-6404. PubMed ID: 31947307 [TBL] [Abstract][Full Text] [Related]
39. Towards an Inertial Sensor-Based Wearable Feedback System for Patients after Total Hip Arthroplasty: Validity and Applicability for Gait Classification with Gait Kinematics-Based Features. Teufl W; Taetz B; Miezal M; Lorenz M; Pietschmann J; Jöllenbeck T; Fröhlich M; Bleser G Sensors (Basel); 2019 Nov; 19(22):. PubMed ID: 31744141 [TBL] [Abstract][Full Text] [Related]
40. IMU, sEMG, or their cross-correlation and temporal similarities: Which signal features detect lateral compensatory balance reactions more accurately? Nouredanesh M; Tung J Comput Methods Programs Biomed; 2019 Dec; 182():105003. PubMed ID: 31465977 [TBL] [Abstract][Full Text] [Related] [Previous] [Next] [New Search]