CHIA-WEI CHANG

Mr. CHIA-WEI CHANG


Research Focus & Metrics

Academic Career Length

2Years (2025-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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10 October 2025 in Sensors
Verified
Journal Article
Open access
PDF file
LCLin-Yen Cheng
Lin-Yen Cheng
YCYen-Chang Chien
Yen-Chang Chien
TLTzu Tung Lin
Tzu Tung Lin
JLJou Yu Lin
Jou Yu Lin
HCHsin-Ti Cheng
Hsin-Ti Cheng
FU-CHENG WANGFU-CHENG WANG
FU-CHENG WANG
Knee osteoarthritis (OA) is a prevalent condition in older adults that often results in impaired gait and balance, increased risk of falls, and reduced quality of life. Conventional clinical assessments may not adequately capture these deficiencies. This study investigated the gait and balance of elderly individuals with knee OA using wearable inertial measurement units (IMUs). Forty-four participants with Kellgren–Lawrence grade 2–3 knee OA (71.23 ± 5.75 years) and forty-five age-matched controls (70.87 ± 4.30 years) completed dynamic balance (balance board), static balance (single-leg stance), ‘timed up and go’ (TUG), and normal walking tasks. Between 2 and 8 IMUs, depending on the task, were placed on the head, chest, waist, knees, ankles, soles, and balance board to record kinematic data. Balance was quantified using absolute angular velocity and linear acceleration, with group differences analyzed by MANOVA and Bonferroni-adjusted univariate tests. The participants with knee OA exhibited greater gait asymmetry, although the difference was not significant. However, they consistently demonstrated higher absolute angular velocities than controls across most body segments during static and dynamic tasks, indicating reduced postural stability. No group differences were observed in TUG performance. These findings suggest that IMU-based measures, particularly angular velocity, are sensitive to balance impairment detection in knee OA. Incorporating IMU technology into clinical assessments may facilitate early identification of instability and guide targeted interventions to reduce fall risk.

18 September 2025 in Sensors
Verified
Journal Article
Open access
PDF file
FU-CHENG WANGFU-CHENG WANG
FU-CHENG WANG
SCSzu-Fu Chen
Szu-Fu Chen
PYPen-Ning Yu
Pen-Ning Yu
YTYin Keat Tan
Yin Keat Tan
HCHsin Ti Cheng
Hsin Ti Cheng
LKLik-Kang Koo
Lik-Kang Koo
We propose a speed-adapted treadmill that can be incorporated into a rehabilitation trainer that applies neurodevelopmental treatment (NDT) for patients with stroke. NDT practice is effective for post-stroke patients, but its requirement for therapists’ participation can limit the patients’ rehabilitation during the golden period of recovery. Previous studies have proposed a trainer that can automatically reiterate therapists’ interventions. However, that trainer employed a constant-speed treadmill, which required the users to frequently adjust their walking speeds during rehabilitation. This paper develops a speed-adapted treadmill that can regulate the treadmill motor to maintain the subject’s position during the training process. First, we derive models of the treadmill and cable motors through experiments. Then, we design robust controls for the two systems and simplify them as proportional-integral-derivative controllers for hardware implementation. Finally, we integrate the system and invite healthy and stroke subjects to participate in clinical experiments. Among ten stroke subjects, all subjects’ walking speeds and nine subjects’ stride lengths were improved, while eight subjects showed improvement in the swing-phase asymmetry and pelvic rotation after receiving the NDT rehabilitation employing the speed-adapted treadmill. Our findings indicate that the NDT trainer effectively enhances users’ gait characteristics, including swing-phase symmetry, pelvic rotation, walking speed, and stride length.

29 September 2026 in Sensors
Verified
Journal Article
Open access
PDF file
YCYen-Chang Chien
Yen-Chang Chien
LKLik-Kang Koo
Lik-Kang Koo
CCCHIA-WEI CHANG
CHIA-WEI CHANG
CCChen Chien Cheng
Chen Chien Cheng
SCSzu-Fu Chen
Szu-Fu Chen
FU-CHENG WANGFU-CHENG WANG
FU-CHENG WANG
Chronic low back pain (cLBP) compromises daily function, but associated balance deficits remain difficult to quantify using traditional scales. We recruited 50 participants with CLBP (age: 65.68 ± 11.84) and 50 age-matched controls (age: 65.26 ± 10.73) wearing multiple inertial measurement units (IMUs) to evaluate kinematics: average absolute angular velocity (Jω) and linear acceleration (Jα) across static (single-leg stance), perturbed (balance board), locomotor (walking, tandem gait), and transitional (five times sit-to-stand) tasks. Group differences were assessed using multivariate analysis of variance and Bonferroni-adjusted univariate tests. During the balance board test,  Jω was significantly higher at the chest (p  = 0.027) and hip (p  = 0.003) in the CLBP group. Conversely, during the sit-to-stand tests, the CLBP group showed significantly lower Jα and  Jω (p < 0.0001) at the hip. The CLBP group exhibited globally lower  Jω (p  < 0.01) during normal walking, while the AmpPR (p  = 0.001) was exclusively reduced during tandem gait. These results suggest that multi-sensor IMU-based assessments provide a sensitive tool for detecting subtle, task-specific balance deficits in CLBP, indicating that rehabilitation should target rotational mobility and reactive control rather than core stiffening alone. Larger-scale and longitudinal research is still required to determine their clinical utility.