Objective To evaluate the effects of in situ subtalar arthrodesis with bone graft for subtalar traumatic arthritis, and to analyse the plantar pressure distribution so as to provide the evidence for effectiveness evaluation. Methods Between March 2004 and December 2008, 26 patients with unilateral subtalar arthrodesis undergoing bone graft fusion wereenrolled (test group). After operation, the imageology diversity and the effect of subtalar arthrodesis on adjacent joint wereobserved. American Orthopaedic Foot and Ankel Society (AOFAS) ankle and hindfoot score and radiographs were used to assess the foot function before and after operation. Twenty-six normal subjects served as controls. Footscan system was used to test the distribution of maximum plantar pressure and the change of gravity center curve. No significant difference was found in gender, age, height, and weight between 2 groups (P gt; 0.05). Results All patients were followed up 18.2 months on average (range, 14-71 months). The mean subtalar arthrodesis time was 5.6 months (range, 4 months and 15 days to 11 months). The mean AOFAS ankle and hindfoot score improved from 35.18 ± 8.16 preoperatively to 76.36 ± 6.90 postoperatively (t=13.910, P=0.000). Nine (34.6%) patients had satisfactory functional effects, and 13 (50.0%) patients basically satisfactory. The talocalcaneal height, talocalcaneal angle, talar decl ination angle, and calcaneus patch angle were 87.04% ± 6.17%, 76.73% ± 5.13%, 65.86% ± 7.01%, and 70.19% ± 8.33% of the contralateral side, respectively. Osteoarthritis of the adjacent joints occurred in 7 cases. The maximum plantar pressure increased in the third to fifth metatarsal bones and decreased in the first to second metatarsal bones, showing significant differences when compared with normal controls (P lt; 0.05). No significant difference was found in the plantar pressure between arthrodesis foot and contralateral foot of the test group (P gt; 0.05). The plantar pressure was well distributed in patient who was satisfied with the effect, but it was still different from normal controls. In patients who had high plantar pressure n middle foot, mild heel inversion occurred. The gravity center curve of the contralateral foot in the test group was almost the same as that of normal controls; curve medially shifted when forefoot touched down. The curve irregularly and laterally shifted in the subtalar arthrodesis foot; the curve did not medially shift when forefoot touched down. Conclusion In situ subtalar arthrodesis with bone graft has good cl inical results for subtalar traumatic arthritis. Gait analysis can be appl ied to assess the therapeutic effectiveness, and contribute to make a surgical plan. For the adaptive alteration of contralateral side after subtalar arthrodesis, a cohort of normal subjects should be used for comparison in gait analysis.
Objective To investigate the effect of femoral offset reconstruction on pelvic stabil ity during gait after total hip arthroplasty. Methods According to the inclusion criteria, 29 patients undergoing unilateral total hip arthroplasty between January 2000 and December 2005 were selected. There were 10 males and 19 females with an average age of 64.3 years (range, 33-75 years). The affected hips included 15 left hips and 14 right hips. The follow-up time was from 5 to 10 years (mean, 7.7 years). The Harris score was 90 to 100 (mean, 97) at last follow-up. The femoral offset ratio (FOR) was calculated by measuring the femoral offset of the bilateral hips on radiograph, and then the patients were divided into 2 groups: group A (the femoral offset of diseased hip was less than that of normal hip, n=10) and group B (the femoral offset of diseased hip was greater than that of normal hip, n=19). The pelvis kinematic variables were measured by three-dimensional gait analysis to collect the magnitude of pelvic obl ique angle (POA). Results In group A, the FOR was 0.81 ± 0.08 and the POA was (—0.42 ± 0.91)°. In group B, the FOR was 1.27 ± 0.15 and the POA was (1.02 ± 0.94)°. For the normal hip, the POA was (1.15 ± 0.85)°. The POA was significantly less in group A than in group B and the normal l imb (P lt; 0.05). The difference in POA had no significance between group B and the normal hip (P gt; 0.05). The POA was positive relative with FOR (r=0.534, P=0.003), and the regression equation was y= — 2.551+ 2.781x. Conclusion The femoral offset reconstruction is crucial to improve hip abductor function and gait.
Objective To investigate the value of using Footscan system to evaluate the therapeutic effect of two internal fixation methods on calcaneus fractures. Methods From February 2006 to September 2006, 64 patients with fresh unilateral closed calcaneus fractures were randomly divided into two groups. The experimental group: 32 patients underwentminimally invasive open reduction and internal fixation with improved compressing plate and screw, including 28 males and 4 females aged 20-53 years old (average 36.7 years old); the course of disease was 3-14 days; there were 19 cases of type II, 11 of type III, and 2 of type IV according to Sanders fracture classification system. The control group: 32 patients underwent internal fixation of standard AO plate via L-shaped incision, including 29 males and 3 females aged 18-56 years old (average 37.1 years old); the course of disease was 4-15 days; there were 18 cases of type II, 11 of type III and 23 of type IV according to Sanders fracture classification system. No significant difference was noted between two groups in the general information (P gt; 0.05). At 1 and 2 years after operation, dynamic plantar pressure was measured using Footscan system, Maryland foot scores of two groups was compared, and statistical analysis was performed. Results All patients were followed up for 2 years. No infection, cuticular border necrosis, and sural nerve distal end injury occurred in the experimental group, whereas in the control group, 3 patients suffered from cuticular border necrosis and recovered after dressing, and 1 patient had sural nerve distal end injury with decreased sensation in local skin. At 1 and 2 years after operation, in the control group, there were significant differences between the injured foot and the normal foot in terms of impulse, instep index, motion range of subtalar joint, lateral displacement of footplate pressure center, and calcaneal width when patients stood on both feet (P lt; 0.05), whereas in the experimental group, no significant differences were noted between the injured foot and the normal foot in terms of the above parameters (P gt; 0.05). Significant differences were noted between two groups in terms of the above parameters (P lt; 0.05). The Maryland score 1 yearafter operation was (86.74 ± 8.56) points for the experimental group and (71.24 ± 10.06) points for the control group; at 2 years after operation, it was increased to (87.35 ± 8.49) points and (72.41 ± 9.69) points, respectively, indicating there was a significant difference between two groups (P lt; 0.05). Conclusion Operative outcomes of internal fixation with improved compressing plate are superior to those of standard AO plate. Footscan system can provide a quantitative assessment on the operative effect of calcaneus fractures.
ObjectiveTo provides an objective tool to evaluate rotator cuff function in rats. MethodsSixty adult male Sprague Dawley rats, weighing (281.21± 20.12) g, were involved in this experiment. Botulinum toxin A (6 U/kg) was injected into the infraspinatus of 12 rats in Botox group. Infraspinatus tendons of 12 rats in tear group were cut by microinvasive method. Infraspinatus tendons of 12 rats in sham-operation group were exposed but not cut. No any treatment was performed on the 12 rats in normal control group. One shoulder joint of each rat was selected randomly as treatment side. After 7 days, cadence, rate of stand phase, support pressure, swing speed, stand speed, and stride length of rats in those 4 groups were measured. Treatment side and contralateral side ratio of each gait parameter was caculated. If parameters of Botox group and tear group both showed significant differences compared with those of normal control group and sham-operation group, the gait parameter was brought into rating scale as an item. Each item was assigned from 1 point to 5 points according to gait parameter. The chronic rotator cuff injury model was established in 12 rats of verification group and rating scale was used to evaluate rotator cuff function each week for 8 weeks after surgery. ResultsAll gait parameters of tear group were significantly less than those of Botox group (P＜0.05), and Botox group was significantly less than sham-operation group and normal control group (P＜0.05), but no significant difference was found between sham-operation group and normal control group (P>0.05). All gait parameters were brought into rating scale as items. All items were rated from 1 point to 5 points, so the total score was 30 points and the lowest score was 6 points. Thirty points meant normal function of infraspinatus (rotator cuff function was normal), and 6 points meant complete loss of infraspinatus function (rotator cuff function was severely damaged). Rotator cuff functional scores of rats in verification group were 27.00±1.86, 23.75±2.83, 21.33±1.92, 18.17±2.37, 13.17±1.64, 11.67±2.50, 8.17±1.27, 6.50±0.67 from the 1st week to the 8th week respectively. ConclusionThe rating scale of rat rotator cuff function may reflect the severity of rotator cuff injury and the functional status of rotator cuff to some extent in rats.
ObjectiveTo analyze the effect of core stabilization exercise with unstable support surface on rehabilitation of patients with osteoporotic vertebral fracture.MethodsFrom January 2018 to January 2020, 66 patients with osteoporotic vertebral fractures in the Fifth Affiliated Hospital of Zhengzhou University were selected as the research objects. All patients were treated with percutaneous vertebroplasty. After operation, they were randomly divided into intervention group and control group by random number table method, with 33 cases in each group. Both groups were given routine rehabilitation intervention after operation, while the intervention group was given core stabilization exercise with unstable support surface at the same time. The vertebral height, shape, stability and gait of the two groups were compared 1 day before operation and 1 day after rehabilitation training.ResultsThere was no significant difference in gender, age, injured vertebral body, course of osteoporosis, years of education and marital status between the two groups (P>0.05). Before surgery, there was no statistically significant difference in the height ratio of the front edge of the injured vertebra, middle height ratio of the injured vertebra, back convex Cobb angle, track length when eyes were open, track length when eyes were closed, Romberg rate, track length per unit time when eyes were open, track length per unit time when eyes were closed, Romberg rate per unit time, deviation of the center of gravity on X-axis when eyes were open, deviation of the center of gravity on X-axis when eyes were closed, deviation of the center of gravity on Y-axis when eyes were open, deviation of the center of gravity on Y-axis when eyes were closed, stride length, step frequency or comfortable pace between the two groups (P>0.05). After training, the height ratio of the front edge of the injured vertebra [(79.26±12.15)% vs. (72.26±13.36)%], middle height ratio of the injured vertebra [(82.11±10.26)% vs. (75.64±9.56)%], back convex Cobb angle [(9.87±7.10) vs. (14.41±2.36)°], track length when eyes were closed [(1856.29±457.16) vs. (2358.48±786.45) mm], Romberg rate [(1.32±0.29)% vs. (1.87±0.54)%], track length per unit time when eyes were closed [(33.45±3.26) vs. (41.55±4.69) mm], Romberg rate per unit time [(1.41±0.30)% vs. (1.95±0.77)%], deviation of the center of gravity on X-axis when eyes were open [(11.06±1.36) vs. (16.54±2.22) mm], deviation of the center of gravity on X-axis when eyes were closed [(11.15±0.96) vs. (23.31±3.06) mm], deviation of the center of gravity on Y-axis when eyes were open [(12.57±1.84) vs. (15.56±2.06) mm], deviation of the center of gravity on Y-axis when eyes were closed [(15.69±2.05) vs. (18.96±3.56) mm], stride length [(0.57±0.12) vs. (0.49±0.10) m], step frequency [(1.09±0.29) vs. (0.94±0.20) step/s] and comfortable pace [(0.35±0.12) vs. (0.29±0.10) m/s] of the intervention group were better than those of the control group (P<0.05). There was no significant difference in the track length when eyes were open or track length per unit time when eyes were open between the two groups (P>0.05).ConclusionIn patients with osteoporotic vertebral body fractures, core stabilization exercise with unstable support surface on the basis of conventional rehabilitation interventions after surgery can effectively restore the height and shape of the vertebral body, and improve the stability and gait to a certain extent.
Aiming at the problems of individual differences in the asynchrony process of human lower limbs and random changes in stride during walking, this paper proposes a method for gait recognition and prediction using motion posture signals. The research adopts an optimized gated recurrent unit (GRU) network algorithm based on immune particle swarm optimization (IPSO) to establish a network model that takes human body posture change data as the input, and the posture change data and accuracy of the next stage as the output, to realize the prediction of human body posture changes. This paper first clearly outlines the process of IPSO's optimization of the GRU algorithm. It collects human body posture change data of multiple subjects performing flat-land walking, squatting, and sitting leg flexion and extension movements. Then, through comparative analysis of IPSO optimized recurrent neural network (RNN), long short-term memory (LSTM) network, GRU network classification and prediction, the effectiveness of the built model is verified. The test results show that the optimized algorithm can better predict the changes in human posture. Among them, the root mean square error (RMSE) of flat-land walking and squatting can reach the accuracy of 10−3, and the RMSE of sitting leg flexion and extension can reach the accuracy of 10−2. The R2 value of various actions can reach above 0.966. The above research results show that the optimized algorithm can be applied to realize human gait movement evaluation and gait trend prediction in rehabilitation treatment, as well as in the design of artificial limbs and lower limb rehabilitation equipment, which provide a reference for future research to improve patients' limb function, activity level, and life independence ability.
The gait acquisition system can be used for gait analysis. The traditional wearable gait acquisition system will lead to large errors in gait parameters due to different wearing positions of sensors. The gait acquisition system based on marker method is expensive and needs to be used by combining with the force measurement system under the guidance of rehabilitation doctors. Due to the complex operation, it is inconvenient for clinical application. In this paper, a gait signal acquisition system that combines foot pressure detection and Azure Kinect system is designed. Fifteen subjects are organized to participate in gait test, and relevant data are collected. The calculation method of gait spatiotemporal parameters and joint angle parameters is proposed, and the consistency analysis and error analysis of the gait parameters of proposed system and camera marking method are carried out. The results show that the parameters obtained by the two systems have good consistency (Pearson correlation coefficient r ≥ 0.9, P < 0.05) and have small error (root mean square error of gait parameters is less than 0.1, root mean square error of joint angle parameters is less than 6). In conclusion, the gait acquisition system and its parameter extraction method proposed in this paper can provide reliable data acquisition results as a theoretical basis for gait feature analysis in clinical medicine.
The increasing prevalence of the aging population, and inadequate and uneven distribution of medical resources, have led to a growing demand for telemedicine services. Gait disturbance is a primary symptom of neurological disorders such as Parkinson’s disease (PD). This study proposed a novel approach for the quantitative assessment and analysis of gait disturbance from two-dimensional (2D) videos captured using smartphones. The approach used a convolutional pose machine to extract human body joints and a gait phase segmentation algorithm based on node motion characteristics to identify the gait phase. Moreover, it extracted features of the upper and lower limbs. A height ratio-based spatial feature extraction method was proposed that effectively captures spatial information. The proposed method underwent validation via error analysis, correction compensation, and accuracy verification using the motion capture system. Specifically, the proposed method achieved an extracted step length error of less than 3 cm. The proposed method underwent clinical validation, recruiting 64 patients with Parkinson’s disease and 46 healthy controls of the same age group. Various gait indicators were statistically analyzed using three classic classification methods, with the random forest method achieving a classification accuracy of 91%. This method provides an objective, convenient, and intelligent solution for telemedicine focused on movement disorders in neurological diseases.
Alzheimer’s disease (AD) is a common and serious form of elderly dementia, but early detection and treatment of mild cognitive impairment can help slow down the progression of dementia. Recent studies have shown that there is a relationship between overall cognitive function and motor function and gait abnormalities. We recruited 302 cases from the Rehabilitation Hospital Affiliated to National Rehabilitation Aids Research Center and included 193 of them according to the screening criteria, including 137 patients with MCI and 56 healthy controls (HC). The gait parameters of the participants were collected during performing single-task (free walking) and dual-task (counting backwards from 100) using a wearable device. By taking gait parameters such as gait cycle, kinematics parameters, time-space parameters as the focus of the study, using recursive feature elimination (RFE) to select important features, and taking the subject’s MoCA score as the response variable, a machine learning model based on quantitative evaluation of cognitive level of gait features was established. The results showed that temporal and spatial parameters of toe-off and heel strike had important clinical significance as markers to evaluate cognitive level, indicating important clinical application value in preventing or delaying the occurrence of AD in the future.
Traditional gait analysis systems are typically complex to operate, lack portability, and involve high equipment costs. This study aims to establish a musculoskeletal dynamics calculation process driven by Azure Kinect. Building upon the full-body model of the Anybody musculoskeletal simulation software and incorporating a foot-ground contact model, the study utilized Azure Kinect-driven skeletal data from depth videos of 10 participants. The in-depth videos were prepossessed to extract keypoint of the participants, which were then adopted as inputs for the musculoskeletal model to compute lower limb joint angles, joint contact forces, and ground reaction forces. To validate the Azure Kinect computational model, the calculated results were compared with kinematic and kinetic data obtained using the traditional Vicon system. The forces in the lower limb joints and the ground reaction forces were normalized by dividing them by the body weight. The lower limb joint angle curves showed a strong correlation with Vicon results (mean ρ values: 0.78 ~ 0.92) but with root mean square errors as high as 5.66°. For lower limb joint force prediction, the model exhibited root mean square errors ranging from 0.44 to 0.68, while ground reaction force root mean square errors ranged from 0.01 to 0.09. The established musculoskeletal dynamics model based on Azure Kinect shows good prediction capabilities for lower limb joint forces and vertical ground reaction forces, but some errors remain in predicting lower limb joint angles.