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"Stairs"
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Short-term effects of brief stair climbing interruptions on postprandial hyperglycemia during prolonged sitting: a randomized cross-over trial
Prolonged sitting can negatively impact postprandial glucose levels and cognitive function. While short bouts of stair climbing are thought to mitigate these risks, the findings remain inconclusive. The present study aimed to explore the effects of stair climbing bouts on postprandial glucose and cognitive functions during prolonged sitting. Twenty-eight sedentary young adults (aged 20–30 years) underwent two intervention visits after standardised lunch for two hours: (1) STAIR: the participants climbed two flight of stairs for two minutes every 30 min; (2) SIT: the participants continued to sit. Blood glucose was measured using capillary finger prick method while attention function was measured using computer-based cognitive tests at baseline, end of 1st hour and 2nd hour. Significant interaction (F
2, 54
= 15.96,
p
< 0.001) was observed for conditions and time. During STAIR visit, significant changes in postprandial glucose at 1st hour (β = − 2.6 mmol/dl,
p
< 0.001) and 2nd hour (β = 3.0 mmol/dl,
p
< 0.001). No significant difference in the attention functions with time and conditions was observed. Stair climbing interruptions may serve as a feasible and effective countermeasure to high glycaemic variability or excursions that occur during prolonged sitting after postprandial hyperglycaemia.
Journal Article
A comprehensive, open-source dataset of lower limb biomechanics in multiple conditions of stairs, ramps, and level-ground ambulation and transitions
We introduce a novel dataset containing 3-dimensional biomechanical and wearable sensor data from 22 able-bodied adults for multiple locomotion modes (level-ground/treadmill walking, stair ascent/descent, and ramp ascent/descent) and multiple terrain conditions of each mode (walking speed, stair height, and ramp inclination). In this paper, we present the data collection methods, explain the structure of the open dataset, and report the sensor data along with the kinematic and kinetic profiles of joint biomechanics as a function of the gait phase. This dataset offers a comprehensive source of locomotion information for the same set of subjects to motivate applications in locomotion recognition, developments in robotic assistive devices, and improvement of biomimetic controllers that better adapt to terrain conditions. With such a dataset, models for these applications can be either subject-dependent or subject-independent, allowing greater flexibility for researchers to advance the field.
Journal Article
Biomechanical effects of an articulating prosthetic toe joint during stair navigation for individuals with unilateral, below-knee limb loss
Stair navigation is an essential and demanding form of locomotion. During stair ascent and descent, persons with lower limb loss exhibit gait characteristics which may increase their risk of falls and joint degeneration of the intact limb. To reduce deviations from typically-able-bodied gait and overloading of the intact limb for this population, one potential intervention involves modifying passive prosthetic feet by incorporating a flexible toe joint that simulates the biological metatarsophalangeal joint. In this study, we aimed to assess the user preferences and biomechanical effects of a flexible prosthetic toe joint during stair ascent and descent for persons with unilateral lower-limb loss. Nine participants with unilateral lower-limb loss were recruited (Male; Medicare Functional Classification Level: eight K4, one K3; age: 41 ± 11 years; mass: 95 ± 13 kg; height: 1.84 ± 0.05 m; mean ± SD). No significant changes in lower-limb joint mechanics were identified. Five of nine participants preferred the unmodified prosthesis with a standard carbon fiber keel for both stair ascent and descent. Varied user preferences and inconsistent changes in lower-limb joint parameters between participants highlight the importance of subject-specific analyses and individualized device prescription.
Journal Article
RGB-D-Based Stair Detection and Estimation Using Deep Learning
Stairs are common vertical traffic structures in buildings, and stair detection tasks are important in environmental perception for autonomous mobile robots. Most existing algorithms have difficulty combining the visual information from binocular sensors effectively and ensuring reliable detection at night and in the case of extremely fuzzy visual clues. To solve these problems, we propose a stair detection network with red-green-blue (RGB) and depth inputs. Specifically, we design a selective module, which can make the network learn the complementary relationship between the RGB feature maps and the depth feature maps and fuse the features effectively in different scenes. In addition, we propose several postprocessing algorithms, including a stair line clustering algorithm and a coordinate transformation algorithm, to obtain the stair geometric parameters. Experiments show that our method has better performance than existing the state-of-the-art deep learning method, and the accuracy, recall, and runtime are improved by 5.64%, 7.97%, and 3.81 ms, respectively. The improved indexes show the effectiveness of the multimodal inputs and the selective module. The estimation values of stair geometric parameters have root mean square errors within 15 mm when ascending stairs and 25 mm when descending stairs. Our method also has extremely fast detection speed, which can meet the requirements of most real-time applications.
Journal Article
Biomechanical analysis of trunk and lower limbs during stair activity in patients with scoliosis
Staircases are a frequently encountered obstacle in daily life, requiring individuals to navigate ascending and descending movements that place additional demands on the trunk and lower limbs compared to walking on level surfaces. Therefore, it is crucial to examine the biomechanical characteristics of the trunk and lower limbs in individuals with scoliosis during stair activity. The aim of this study was to investigate the biomechanical differences in trunk and lower limbs during daily stair activities between patients with scoliosis and a healthy population. Additionally, the study aimed to explore the relationship between trunk abnormalities and lower limb biomechanics, providing a clinical and objective assessment basis for scoliosis. The Qualisys system, based in Gothenburg, Sweden, was employed for data collection in this study, with a sampling frequency of 150 Hz. It captured the kinematics of the trunk and lower limbs, as well as the kinetics of the lower limbs during stair ascent and descent for both the 28 individuals with scoliosis and the 28 control participants. The results indicate that scoliosis patients demonstrated significantly higher asymmetry compared to the control group in various measures during ascent and decent. These include different parts of kinematics and kinetics. Scoliosis patients demonstrate noticeable variations in their movement patterns compared to the healthy population when engaging in stair activities. Specifically, during stair ascent, scoliosis patients exhibit a seemingly more rigid movement pattern, whereas descent is characterized by an unstable pattern.
Journal Article
An Adaptive Zero Velocity Detection Algorithm Based on Multi-Sensor Fusion for a Pedestrian Navigation System
The zero velocity update (ZUPT) algorithm is an effective way to suppress the error growth for a foot-mounted pedestrian navigation system. To make ZUPT work properly, it is necessary to detect zero velocity intervals correctly. Existing zero velocity detection methods cannot provide good performance at high gait speeds or stair climbing. An adaptive zero velocity detection approach based on multi-sensor fusion is proposed in this paper. The measurements of an accelerometer, gyroscope and pressure sensor were employed to construct a zero-velocity detector. Then, the adaptive threshold was proposed to improve the accuracy of the detector under various motion modes. In addition, to eliminate the height drift, a stairs recognition method was developed to distinguish staircase movement from level walking. Detection performance was examined with experimental data collected at varying motion modes in real scenarios. The experimental results indicate that the proposed method can correctly detect zero velocity intervals under various motion modes.
Journal Article
High SARC-F score predicts poor survival of patients with cancer receiving palliative care
Purpose
A high score determined by SARC-F, a simple screening questionnaire for sarcopenia, has been reportedly associated with worse medical outcomes. However, information regarding whether high SARC-F scores are associated with a poor prognosis in patients with advanced cancer remains limited. We clarified whether a SARC-F score ≥ 4 predicts poor prognosis in patients with cancer receiving palliative care.
Methods
We conducted a retrospective cohort study of patients with cancer who received palliative care at a university hospital between May 2019 and April 2020. Patient characteristics including age, sex, height, weight, cancer type, serum albumin level, C-reactive protein level, presence of edema, Eastern Cooperative Oncology Group-Performance Status (ECOG-PS), SARC-F score, history of anticancer therapy, and clinical outcomes were collected from electronic medical records.
Results
Of 304 patients, 188 had a SARC-F score < 4, and 116 patients had a SARC-F score ≥ 4. The overall survival of patients with a SARC-F score ≥ 4 was 40 days (95% CI 29–47), which was significantly worse than 121 days (95% CI 95–156) for patients with a SARC-F score < 4 (
p
< 0.001). SARC-F score ≥ 4 (hazard ratio: HR 1.56), edema (HR 1.94), head and neck cancer (HR 0.51), C-reactive protein (HR 1.05), ECOG-PS ≥ 3 (HR 1.47), and radiotherapy (HR 0.52) were associated with overall survival. The ability to climb stairs was a SARC-F sub-item significantly associated with mortality (HR 1.59).
Conclusion
The SARC-F questionnaire is a useful predictor of prognosis for patients with cancer receiving palliative care because a SARC-F ≥ 4 score predicts worse overall survival.
Journal Article
Markerless Knee Joint Position Measurement Using Depth Data during Stair Walking
Climbing and descending stairs are demanding daily activities, and the monitoring of them may reveal the presence of musculoskeletal diseases at an early stage. A markerless system is needed to monitor such stair walking activity without mentally or physically disturbing the subject. Microsoft Kinect v2 has been used for gait monitoring, as it provides a markerless skeleton tracking function. However, few studies have used this device for stair walking monitoring, and the accuracy of its skeleton tracking function during stair walking has not been evaluated. Moreover, skeleton tracking is not likely to be suitable for estimating body joints during stair walking, as the form of the body is different from what it is when it walks on level surfaces. In this study, a new method of estimating the 3D position of the knee joint was devised that uses the depth data of Kinect v2. The accuracy of this method was compared with that of the skeleton tracking function of Kinect v2 by simultaneously measuring subjects with a 3D motion capture system. The depth data method was found to be more accurate than skeleton tracking. The mean error of the 3D Euclidian distance of the depth data method was 43.2 ± 27.5 mm, while that of the skeleton tracking was 50.4 ± 23.9 mm. This method indicates the possibility of stair walking monitoring for the early discovery of musculoskeletal diseases.
Journal Article
The acute effects of interrupting prolonged sitting with stair climbing on vascular and metabolic function after a high-fat meal
PurposeFrequent consumption of high-fat meals and prolonged sedentary time are prevalent lifestyles that have been associated with an increased risk of vascular and metabolic complications. This study evaluated the acute effects of interrupting prolonged sitting with stair climbing on vascular and metabolic function after a high-fat meal.MethodsIn a randomized, cross-over trial, 12 healthy adults (age: 23.5 ± 2.9 years) consumed a high-fat meal, followed by either 1) a 4-h uninterrupted sitting (sitting trial) or 2) a 4-h sitting interrupted with a 5-min stair climbing (average intensity: 66% of heart rate reserve) every hour (interrupted trial). Plasma triglyceride and glucose concentrations, as well as popliteal artery blood flow and shear rate were assessed at baseline and every hour after a high-fat meal, whereas brachial artery flow-mediated dilation was assessed at baseline and again at the end of each trial.ResultsPlasma triglyceride and glucose concentrations increased after a high-fat meal and returned to baseline at the end of both trials. Following a high-fat meal, brachial artery flow-mediated dilation decreased in the sitting trial, but not in the interrupted trial (sitting trial: 9.65 ± 2.63% to 7.84 ± 2.36%; interrupted trial: 9.41 ± 2.61% to 10.34 ± 3.30%, p = 0.009 for interaction). Compared with the sitting trial, the interrupted trial improved popliteal blood flow and shear rate (p = 0.004 and p = 0.008 for interaction, respectively).ConclusionsThese findings suggest that interrupting prolonged sitting with stair climbing may be an effective lifestyle strategy to prevent against vascular dysfunction that might occur as a result of prolonged sitting after consuming a high-fat meal in young healthy adults.
Journal Article