Chen Hu

59409009500

Publications - 3

The effects of different carbon-fiber plate shapes in shoes on lower limb biomechanics following running-induced fatigue

Publication Name: Frontiers in Bioengineering and Biotechnology

Publication Date: 2025-01-01

Volume: 13

Issue: Unknown

Page Range: Unknown

Description:

Different shapes of carbon-fiber plates (CFPs) are likely to affect lower limb biomechanics, particularly under conditions of running-induced fatigue, and potentially impact runners’ performance and risk of injury. However, no studies have yet elucidated the precise effects of CFP shapes on the lower limb biomechanical characteristics subsequent to running-induced fatigue. The purpose of this study was to investigate the effects of different CFP shapes in running shoes on the lower limb biomechanics of runners following running-induced fatigue. 12 male runners (aged 21.8 ± 1.3 years, mass 59.1 ± 4.1 kg, height 168.9 ± 2.2 cm, weekly running distance 68.8 ± 5.5 km/week) were recruited for this study. Two-way repeated measures ANOVA was used to compare kinematic and kinetic data, while SPM (Statistical Parametric Mapping) was used to assess the activation levels of lower limb muscles. Compared to wearing flat CFP shoes (“Flat”), wearing curved CFP shoes (“Curve”) resulted in a significant reduction in the hip (p = 0.034) and knee contact angle (p < 0.000), as well as a significant decrease in the hip flexion moment (p = 0.008). The activation level of the tibialis anterior (TA) was significantly higher when wearing “Curve” in pre-fatigue compared to “Flat”, whereas the opposite was observed post-fatigue. The curved CFP altered the bending angle of the forefoot, thereby significantly reducing the joint angles and joint moments of the hip and knee.

Open Access: Yes

DOI: 10.3389/fbioe.2025.1539976

Integrating footwear features into fatigue prediction models for marathon runners: A hybrid CNN-LSTM approach

Publication Name: Proceedings of the Institution of Mechanical Engineers Part P Journal of Sports Engineering and Technology

Publication Date: 2025-01-01

Volume: Unknown

Issue: Unknown

Page Range: Unknown

Description:

Footwear design, especially the curvature of carbon plates, may influence fatigue perception, but few studies have integrated footwear features into fatigue prediction models. This study aimed to develop a hybrid CNN-LSTM model to predict runners’ fatigue states and evaluate the impact of footwear characteristics on fatigue perception. Twelve male marathon runners (age = 21.8 ± 1.3 years; body mass = 59.1 ± 4.1 kg; height = 168.9 ± 2.2 cm; and weekly mileage = 68.8 ± 5.5 km) participated. They wore two types of carbon-plated shoes (flat plate, FP, and curved plate (CP)) and ran at a steady pace (Borg score 13) until a Borg score of 16 or 85% of maximum heart rate was reached for 2 min. EMG signals and physiological data were collected during treadmill running. A hybrid CNN-LSTM model was trained with and without footwear features to predict fatigue states. The model with footwear features achieved 85% accuracy, compared to 69% without. Curved carbon plate (CP) shoes delayed semi-fatigue onset, indicating better initial support, but the time to full fatigue was similar for both shoe types. The CNN-LSTM model effectively predicted fatigue states, with significant improvement when footwear features were included. Footwear design, particularly carbon plate curvature, influenced fatigue perception.

Open Access: Yes

DOI: 10.1177/17543371251356133

Biomechanical effects of maximal footwear on running: a systematic review and network meta-analysis

Publication Name: Footwear Science

Publication Date: 2026-01-01

Volume: 18

Issue: 1

Page Range: 83-98

Description:

Running is widely recognised for its substantial health benefits; however, it is frequently associated with lower limb injuries caused by repetitive impact forces. To mitigate such injuries, maximal footwear has been developed; nevertheless, evidence comparing its biomechanical effects with those of other footwear types remains inconclusive. A Bayesian network meta-analysis of 14 studies (222 participants) was conducted, based on systematic searches of PubMed, Web of Science, the Cochrane Library, Scopus, and Embase (from inception to 12 November 2024). Multiple biomechanical parameters were evaluated, including vertical average loading rate, vertical instantaneous loading rate, impact peak, active peak and ankle peak eversion. The results revealed a complex and sometimes contradictory biomechanical profile for maximal footwear. Specifically, maximal footwear resulted in a significantly higher impact peak compared to both conventional and minimal footwear. In contrast, for the vertical average loading rate, it performed significantly better than minimal footwear but showed no significant difference compared to conventional footwear. For other impact metrics, no significant differences were observed. Notably, maximal footwear was associated with a significantly lower ankle peak eversion compared to minimal footwear, suggesting a potential for greater control of ankle motion.

Open Access: Yes

DOI: 10.1080/19424280.2025.2604840