144 related articles for article (PubMed ID: 32810842)
1. An Open Data Set of Inertial, Magnetic, Foot-Ground Contact, and Electromyographic Signals From Wearable Sensors During Walking.
Camara Miraldo D; Naville Watanabe R; Duarte M
Motor Control; 2020 Aug; 24(4):558-570. PubMed ID: 32810842
[TBL] [Abstract][Full Text] [Related]
2. Base of Support, Step Length and Stride Width Estimation during Walking Using an Inertial and Infrared Wearable System.
Rossanigo R; Caruso M; Bertuletti S; Deriu F; Knaflitz M; Della Croce U; Cereatti A
Sensors (Basel); 2023 Apr; 23(8):. PubMed ID: 37112261
[TBL] [Abstract][Full Text] [Related]
3. A Wearable Magneto-Inertial System for Gait Analysis (H-Gait): Validation on Normal Weight and Overweight/Obese Young Healthy Adults.
Agostini V; Gastaldi L; Rosso V; Knaflitz M; Tadano S
Sensors (Basel); 2017 Oct; 17(10):. PubMed ID: 29065485
[No Abstract] [Full Text] [Related]
4. Smoother-Based 3-D Foot Trajectory Estimation Using Inertial Sensors.
Hao M; Chen K; Fu C
IEEE Trans Biomed Eng; 2019 Dec; 66(12):3534-3542. PubMed ID: 30932822
[TBL] [Abstract][Full Text] [Related]
5. Gait and Dynamic Balance Sensing Using Wearable Foot Sensors.
Mohamed Refai MI; van Beijnum BF; Buurke JH; Veltink PH
IEEE Trans Neural Syst Rehabil Eng; 2019 Feb; 27(2):218-227. PubMed ID: 30582548
[TBL] [Abstract][Full Text] [Related]
6. A wearable solution for accurate step detection based on the direct measurement of the inter-foot distance.
Bertuletti S; Della Croce U; Cereatti A
J Biomech; 2019 Feb; 84():274-277. PubMed ID: 30630626
[TBL] [Abstract][Full Text] [Related]
7. Adaptive Bayesian inference system for recognition of walking activities and prediction of gait events using wearable sensors.
Martinez-Hernandez U; Dehghani-Sanij AA
Neural Netw; 2018 Jun; 102():107-119. PubMed ID: 29567532
[TBL] [Abstract][Full Text] [Related]
8. Foot orientation and trajectory variability in locomotion: Effects of real-world terrain.
Gibson E; Douglas G; Jeffries K; Delaurier J; Chestnut T; Charlton JM
PLoS One; 2024; 19(5):e0293691. PubMed ID: 38753603
[TBL] [Abstract][Full Text] [Related]
9. Deep Learning-Based Energy Expenditure Estimation in Assisted and Non-Assisted Gait Using Inertial, EMG, and Heart Rate Wearable Sensors.
Lopes JM; Figueiredo J; Fonseca P; Cerqueira JJ; Vilas-Boas JP; Santos CP
Sensors (Basel); 2022 Oct; 22(20):. PubMed ID: 36298264
[TBL] [Abstract][Full Text] [Related]
10. Validation of wearable visual feedback for retraining foot progression angle using inertial sensors and an augmented reality headset.
Karatsidis A; Richards RE; Konrath JM; van den Noort JC; Schepers HM; Bellusci G; Harlaar J; Veltink PH
J Neuroeng Rehabil; 2018 Aug; 15(1):78. PubMed ID: 30111337
[TBL] [Abstract][Full Text] [Related]
11. Load Position and Weight Classification during Carrying Gait Using Wearable Inertial and Electromyographic Sensors.
Goršič M; Dai B; Novak D
Sensors (Basel); 2020 Sep; 20(17):. PubMed ID: 32887309
[TBL] [Abstract][Full Text] [Related]
12. Design of a Novel Wearable System for Foot Clearance Estimation.
Jacob S; Fernie G; Roshan Fekr A
Sensors (Basel); 2021 Nov; 21(23):. PubMed ID: 34883901
[TBL] [Abstract][Full Text] [Related]
13. Gait Event Detection in Controlled and Real-Life Situations: Repeated Measures From Healthy Subjects.
Figueiredo J; Felix P; Costa L; Moreno JC; Santos CP
IEEE Trans Neural Syst Rehabil Eng; 2018 Oct; 26(10):1945-1956. PubMed ID: 30334739
[TBL] [Abstract][Full Text] [Related]
14. Estimation of gait events and kinetic waveforms with wearable sensors and machine learning when running in an unconstrained environment.
Donahue SR; Hahn ME
Sci Rep; 2023 Feb; 13(1):2339. PubMed ID: 36759681
[TBL] [Abstract][Full Text] [Related]
15. Study on Tripping Risks in Fast Walking through Cadence-Controlled Gait Analysis.
Wang WF; Lien WC; Liu CY; Yang CY
J Healthc Eng; 2018; 2018():2723178. PubMed ID: 30002803
[TBL] [Abstract][Full Text] [Related]
16. Evaluating physiological signal salience for estimating metabolic energy cost from wearable sensors.
Ingraham KA; Ferris DP; Remy CD
J Appl Physiol (1985); 2019 Mar; 126(3):717-729. PubMed ID: 30629472
[TBL] [Abstract][Full Text] [Related]
17. Plantar pressure sensors indicate women to have a significantly higher peak pressure on the hallux, toes, forefoot, and medial of the foot compared to men.
Yamamoto T; Hoshino Y; Kanzaki N; Nukuto K; Yamashita T; Ibaraki K; Nagamune K; Nagai K; Araki D; Matsushita T; Kuroda R
J Foot Ankle Res; 2020 Jul; 13(1):40. PubMed ID: 32611444
[TBL] [Abstract][Full Text] [Related]
18. Ground Contact Time Estimating Wearable Sensor to Measure Spatio-Temporal Aspects of Gait.
Bernhart S; Kranzinger S; Berger A; Peternell G
Sensors (Basel); 2022 Apr; 22(9):. PubMed ID: 35590822
[TBL] [Abstract][Full Text] [Related]
19. Analysis of the performance of 17 algorithms from a systematic review: Influence of sensor position, analysed variable and computational approach in gait timing estimation from IMU measurements.
Pacini Panebianco G; Bisi MC; Stagni R; Fantozzi S
Gait Posture; 2018 Oct; 66():76-82. PubMed ID: 30170137
[TBL] [Abstract][Full Text] [Related]
20. Locomotion Mode Transition Prediction Based on Gait-Event Identification Using Wearable Sensors and Multilayer Perceptrons.
Su B; Liu YX; Gutierrez-Farewik EM
Sensors (Basel); 2021 Nov; 21(22):. PubMed ID: 34833549
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
