79 related articles for article (PubMed ID: 31337107)
21. Signal Quality Analysis of Single-Arm Electrocardiography.
Wang JJ; Liu SH; Tsai CH; Manousakas I; Zhu X; Lee TL
Sensors (Basel); 2023 Jun; 23(13):. PubMed ID: 37447668
[TBL] [Abstract][Full Text] [Related]
22. Torque Measurement and Control for Electric-Assisted Bike Considering Different External Load Conditions.
Ho PJ; Yi CP; Lin YJ; Chung WD; Chou PH; Yang SC
Sensors (Basel); 2023 May; 23(10):. PubMed ID: 37430571
[TBL] [Abstract][Full Text] [Related]
23. Effect of vitamin energy drinks on relieving exercise-induced fatigue in muscle group by ultrasonic bioimaging data analysis.
Wang X; Xu M
PLoS One; 2023; 18(6):e0285015. PubMed ID: 37363923
[TBL] [Abstract][Full Text] [Related]
24. Using Ballistocardiogram and Impedance Plethysmogram for Minimal Contact Measurement of Blood Pressure Based on a Body Weight-Fat Scale.
Liu SH; Wu YR; Chen W; Su CH; Chin CL
Sensors (Basel); 2023 Feb; 23(4):. PubMed ID: 36850917
[TBL] [Abstract][Full Text] [Related]
25. Monitoring Neuromuscular Activity during Exercise: A New Approach to Assessing Attentional Focus Based on a Multitasking and Multiclassification Network and an EMG Fitness Shirt.
B Wong A; Chen D; Chen X; Wu K
Biosensors (Basel); 2022 Dec; 13(1):. PubMed ID: 36671897
[TBL] [Abstract][Full Text] [Related]
26. Analysis of Muscular Electrical Activity and Blood Perfusion of Upper Extremity in Patients with Hemiplegic Shoulder Pain: A Pilot Study.
Sui M; Jiang N; Yan L; Zhang C; Liu J; Yan T; Li G
Neural Plast; 2022; 2022():5253527. PubMed ID: 36203950
[TBL] [Abstract][Full Text] [Related]
27. Application of Surface Electromyography in Exercise Fatigue: A Review.
Sun J; Liu G; Sun Y; Lin K; Zhou Z; Cai J
Front Syst Neurosci; 2022; 16():893275. PubMed ID: 36032326
[TBL] [Abstract][Full Text] [Related]
28. Biodegradable Polymer Composites for Electrophysiological Signal Sensing.
Lee DH; Park T; Yoo H
Polymers (Basel); 2022 Jul; 14(14):. PubMed ID: 35890650
[TBL] [Abstract][Full Text] [Related]
29. Muscle Mass Measurement Using Machine Learning Algorithms with Electrical Impedance Myography.
Cheng KS; Su YL; Kuo LC; Yang TH; Lee CL; Chen W; Liu SH
Sensors (Basel); 2022 Apr; 22(8):. PubMed ID: 35459072
[TBL] [Abstract][Full Text] [Related]
30. Comparative Analysis of Supervised Classifiers for the Evaluation of Sarcopenia Using a sEMG-Based Platform.
Leone A; Rescio G; Manni A; Siciliano P; Caroppo A
Sensors (Basel); 2022 Apr; 22(7):. PubMed ID: 35408335
[TBL] [Abstract][Full Text] [Related]
31. Proposed Fatigue Index for the Objective Detection of Muscle Fatigue Using Surface Electromyography and a Double-Step Binary Classifier.
Qassim HM; Hasan WZW; Ramli HR; Harith HH; Mat LNI; Ismail LI
Sensors (Basel); 2022 Feb; 22(5):. PubMed ID: 35271046
[TBL] [Abstract][Full Text] [Related]
32. Muscle Fatigue Revisited - Insights From Optically Pumped Magnetometers.
Sometti D; Semeia L; Baek S; Chen H; Righetti G; Dax J; Kronlage C; Kirchgässner M; Romano A; Heilos J; Staber D; Oppold J; Middelmann T; Braun C; Broser P; Marquetand J
Front Physiol; 2021; 12():724755. PubMed ID: 34975515
[TBL] [Abstract][Full Text] [Related]
33. Plantar Pressure Variability and Asymmetry in Elderly Performing 60-Minute Treadmill Brisk-Walking: Paving the Way towards Fatigue-Induced Instability Assessment Using Wearable In-Shoe Pressure Sensors.
Zhang G; Wong DW; Wong IK; Chen TL; Hong TT; Peng Y; Wang Y; Tan Q; Zhang M
Sensors (Basel); 2021 May; 21(9):. PubMed ID: 34066398
[TBL] [Abstract][Full Text] [Related]
34. An Examination System to Detect Deep Vein Thrombosis of a Lower Limb Using Light Reflection Rheography.
Liu SH; Wang JJ; Chen W; Pan KL; Su CH
Sensors (Basel); 2021 Apr; 21(7):. PubMed ID: 33918113
[TBL] [Abstract][Full Text] [Related]
35. Human Gait Recognition Based on Multiple Feature Combination and Parameter Optimization Algorithms.
Gao F; Tian T; Yao T; Zhang Q
Comput Intell Neurosci; 2021; 2021():6693206. PubMed ID: 33727913
[TBL] [Abstract][Full Text] [Related]
36. Identifying Fatigue Indicators Using Gait Variability Measures: A Longitudinal Study on Elderly Brisk Walking.
Zhang G; Wong IK; Chen TL; Hong TT; Wong DW; Peng Y; Yan F; Wang Y; Tan Q; Zhang M
Sensors (Basel); 2020 Dec; 20(23):. PubMed ID: 33297364
[TBL] [Abstract][Full Text] [Related]
37. Wearable Sensors Detect Differences between the Sexes in Lower Limb Electromyographic Activity and Pelvis 3D Kinematics during Running.
Moltó IN; Albiach JP; Amer-Cuenca JJ; Segura-Ortí E; Gabriel W; Martínez-Gramage J
Sensors (Basel); 2020 Nov; 20(22):. PubMed ID: 33198427
[TBL] [Abstract][Full Text] [Related]
38. Technologies Trend towards 5G Network for Smart Health-Care Using IoT: A Review.
Ahad A; Tahir M; Aman Sheikh M; Ahmed KI; Mughees A; Numani A
Sensors (Basel); 2020 Jul; 20(14):. PubMed ID: 32708139
[TBL] [Abstract][Full Text] [Related]
39. Possible predictive formulas for quantitative and time-based estimation of muscle strength during motion.
Matsumura U; Kai A; Numata M; Lee Y; Yamamoto S; Tsurusaki T
J Phys Ther Sci; 2020 Jan; 32(1):27-32. PubMed ID: 32082024
[TBL] [Abstract][Full Text] [Related]
40. An EMG Patch for the Real-Time Monitoring of Muscle-Fatigue Conditions During Exercise.
Liu SH; Lin CB; Chen Y; Chen W; Huang TS; Hsu CY
Sensors (Basel); 2019 Jul; 19(14):. PubMed ID: 31337107
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]