Wearable Sensors Detect Differences between the Sexes in Lower Limb Electromyographic Activity and Pelvis 3D Kinematics during Running
Each year, 50% of runners suffer from injuries. Consequently, more studies are being published about running biomechanics; these studies identify factors that can help prevent injuries. Scientific evidence suggests that recreational runners should use personalized biomechanical training plans, not o...
Main Authors: | Iván Nacher Moltó, Juan Pardo Albiach, Juan José Amer-Cuenca, Eva Segura-Ortí, Willig Gabriel, Javier Martínez-Gramage |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-11-01
|
Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/20/22/6478 |
Similar Items
-
A Random Forest Machine Learning Framework to Reduce Running Injuries in Young Triathletes
by: Javier Martínez-Gramage, et al.
Published: (2020-11-01) -
Comparison between Accelerometer and Gyroscope in Predicting Level-Ground Running Kinematics by Treadmill Running Kinematics Using a Single Wearable Sensor
by: Daniel Hung Kay Chow, et al.
Published: (2021-07-01) -
Cross-Leg Prediction of Running Kinematics across Various Running Conditions and Drawing from a Minimal Data Set Using a Single Wearable Sensor
by: Daniel Hung-Kay Chow, et al.
Published: (2022-05-01) -
Differences in Kinematic and Electromyographic Characteristics Between Young and Older Adults During Circular Turning
by: I-Hsuan Chen, et al.
Published: (2013-09-01) -
Estimating Lower Extremity Running Gait Kinematics with a Single Accelerometer: A Deep Learning Approach
by: Mohsen Gholami, et al.
Published: (2020-05-01)