Clinical Research on Foot & Ankle
Open Access

MTC; Foot

Editorial

Foot

A common symptom of having insufficient physical and mental energy is fatigue. Fatigue impairs motor function and can change how someone walks, increasing their risk of falling. Many academics have looked into how weariness can affect bodily balance or gait. Particularly, the impact of weariness on older individuals' gaits has been studied. reported that the length, width, and velocity of the stride were all altered by experimentally induced fatigue. They looked at how ageing affected the coherence of the intermuscular beta band (15–35 Hz) while walking on a treadmill both before and after being fatigued experimentally. investigated how muscle effects of tiredness on singleand dual-task gait parameters. The impact of weariness on young people' gaits has received a lot of attention recently [1-4]. The effects of triceps surae fatigue and weight training intensity on gait variability and local stability were examined by Lehnen et al. the impact of motor fatigue on walking performance while performing two tasks at once. examined how vigorous exercise affected young individuals' posture and gait balance. The impact of one's own perception of exhaustion on gait has also been taken into account. On the other hand, weariness has been linked to ambiguous gait characteristics. Effects on toe activity and minimal toe clearance are two examples (MTC) [5].

Additionally, the significance of foot traffic has been acknowledged. In a typical walk, the heel makes initial contact with the ground. A slight foot tilt when making contact with the ground increases the chance of stumbling. It is also challenging to ascend stairs because of this. There are various techniques for assessing foot activity. Ankle dorsiflexion range of motion (DF ROM) and balance have been found to be related. The DF ROM and toe flexor strength are correlated in another study, and toe flexor strength is associated with the likelihood of falling [6]. In their study of plantar flexor strength and fatigue in forefoot and rearfoot runners, Giandolini et al. demonstrated that pressure maxima under the exposed foot regions dropped after fatigue. According to Urbaczka et al., after a rigorous running routine, the ankle angles of untrained runners changed.

Regardless of age, we examined the relationship between toe activity and trip risk and found that decreased toe activity was associated with increased trip risk. The change in contact area measured by our sensor device, which could track the visible plantar aspect, was used to evaluate toe activity [7-9].

The MTC, which is referred to as the distance between the toe and the ground during the swing phase of gait, is one of the main parameters for assessing foot activity. A tiny step height that may be ascended without falling down is indicated by a low MTC. According to Nagano et al., who studied the impact of walking fatigue on the MTC, the MTC decreased with weariness in older persons but not in young adults.

Watanabe examined the variability of MTC during lengthy walks and found that older persons, but not younger adults, saw a considerable decline in MTC over time. By walking on a treadmill for 20 minutes, Pereira and Gonçalves examined the impact of fatigue on motion patterns and demonstrated that this exhaustion was not severe enough to alter the motion patterns in older persons. The impact of weariness on MTC hasn't been thoroughly researched. Recently, a method for simulating the fatigue effect in senior citizens was created. Young and older persons were compared when walking on a treadmill, and Mills et al. found no variations in the median of the MTC that might be attributed to age. Nevertheless, the MTC's within-subject variability.

was higher in older persons, despite not taking the effect of fatigue into account. The findings imply that each person's gait patterns are influenced differently by variables like weariness and ageing [10].

An improved version of the model shown in a previous study is the sensor-integrated clog produced in this work. The plantar aspect is directly measured by the built-in camera. The key distinction between the sensor-integrated clog and other wearable sensors is that the clog offers contact area data while walking, unlike other wearable sensors (particularly force or pressure sensors). The contact area information during the swing phase is typically different from the contact pressure because however the swing phase contact force information is not distinct. As a result, the information gleaned from the contact area and the contact force are not the same. In this study, the change in the contact area throughout a single gait cycle is the primary emphasis, and the change is assessed as the FA. As was already noted, MTC is a key gait characteristic that is also emphasised.

1. Hudish LI, Reusch JE, Sussel L (2019) Β cell dysfunction during progression of metabolic syndrome to type 2 diabetes. J Clin Investig 129: 4001-4008.

Indexed at, Google Scholar, Crossref

2. Jung CH, Son JW, Kang S, Kim WJ, Kim H, et al. (2021) Diabetes fact sheets in korea, 2020: An appraisal of current status. Diabetes Metab J 45: 1-10.

Indexed at, Google Scholar, Crossref

3. La Li J, Shangguan H, Chen X, Ye X, Zhong B, et al. (2020) Advanced glycation end product levels were correlated with inflammation and carotid atherosclerosis in type 2 diabetes patients. Open Life Sci  15: 364-372.

Indexed at, Google Scholar, Crossref

4. Choi H,  Koo D, Yim J (2022) Correlation of advanced glycation end products and heme oxygenase-1 in Korean diabetic patients. J Nutr Health 55: 348-358.

Google Scholar         

5. https://europepmc.org/article/nbk/nbk537328.  
6. Wagner FW (1981) The dysvascular foot: a system for diagnosis and treatment. Foot Ankle 64-122. 

              Indexed at, Google Scholar, Crossref

7. Armstrong DG, Lavery LA, Harkless LB (1998) Validation of a diabetic wound classification system. The contribution of depth, infection, and ischemia to risk of amputation. Diabetes Care 21(5): 855-859. 

               Indexed at, Google Scholar, Crossref

8. Singer AJ, Tassiopoulos, Kirsner RS (2018) Evaluation and Management of Lower-Extremity Ulcers. N Engl J Med 378(3): 302-303. 

               Indexed at, Google Scholar, Crossref

9. Armstrong DG, Boulton AJM, Bus SA (2017) Diabetic Foot Ulcers and Their Recurrence. N Engl J Med 376(24): 2367-2375. 

              Indexed at, Google Scholar, Crossref

10. Mutluoglu M, Uzun G, Turhan V, Gorenek L, Ay H, et al. (2012) How reliable are cultures of specimens from superficial swabs compared with those of deep tissue in patients with diabetic foot ulcers? J Diabetes Complications 26(3): 225-229. 

               Indexed at, Google Scholar, Crossref