Po-Yin Chen

Po-Yin Chen


Research Focus & Metrics

Academic Career Length

12Years (2015-Present)

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

Representative Publications

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27 April 2015 in The Journal of Biochemistry
Verified
Journal Article
Closed access
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YCYuan-Yang Cheng
Yuan-Yang Cheng
CKChung-Lan Kao
Chung-Lan Kao
HMHsin-I. Ma
Hsin-I. Ma
CHChing-Hsia Hung
Ching-Hsia Hung
CWChin-Tien Wang
Chin-Tien Wang
KTKun-Ling Tsai
Kun-Ling Tsai
Low back pain is a common clinical problem that causes disability and impaired quality of life. While the reason behind low back pain was largely considered to be of musculoskeletal origin, the contribution of inflammatory cytokines and oxidative stress could never be overlooked. Exercise has been proven to be an effective approach to treat low back pain. However, the mechanism of the exercise effect on the inflammatory cytokines and oxidative stress is still largely unknown. In this study, we revealed that exercise intervention reduces Toll-like receptor 4 (TLR-4) pathway and enhances Sirtuin 1 (SIRT1) expression in low back pain patients. We also confirmed that exercise up-regulates the expression of peroxisome proliferator-activated receptor-gamma, PPAR-γ coactivator-1 and FoxOs family proteins and also increases the activity of catalase and superoxide dismutase in patients with low back pain. Furthermore, we found that exercise intervention attenuates the oxidative stress, pro-inflammatory cytokine concentrations and p53 expression in patients with low back pain. This study demonstrates that exercise intervention improves low back pain symptoms through regulation of the SIRT1 axis with repression of oxidative stress and TLR-4 inhibition.

15 October 2020 in Brain Sciences
Verified
Journal Article
Open access
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LKLi-Wei Ko
Li-Wei Ko
RCRupesh Kumar Chikara
Rupesh Kumar Chikara
PCPo-Yin Chen
Po-Yin Chen
YJYing-Chun Jheng
Ying-Chun Jheng
CWChien Chih Wang
Chien Chih Wang
CKChung-Lan Kao
Chung-Lan Kao
Patients with bilateral vestibular hypofunction (BVH) often suffer from imbalance, gait problems, and oscillopsia. Noisy galvanic vestibular stimulation (GVS), a technique that non-invasively stimulates the vestibular afferents, has been shown to enhance postural and walking stability. However, no study has investigated how it affects stability and neural activities while standing and walking with a 2 Hz head yaw turning. Herein, we investigated this issue by comparing differences in neural activities during standing and walking with a 2 Hz head turning, before and after noisy GVS. We applied zero-mean gaussian white noise signal stimulations in the mastoid processes of 10 healthy individuals and seven patients with BVH, and simultaneously recorded electroencephalography (EEG) signals with 32 channels. We analyzed the root mean square (RMS) of the center of pressure (COP) sway during 30 s of standing, utilizing AMTI force plates (Advanced Mechanical Technology Inc., Watertown, MA, USA). Head rotation quality when walking with a 2 Hz head yaw, with and without GVS, was analyzed using a VICON system (Vicon Motion Systems Ltd., Oxford, UK) to evaluate GVS effects on static and dynamic postural control. The RMS of COP sway was significantly reduced during GVS while standing, for both patients and healthy subjects. During walking, 2 Hz head yaw movements was significantly improved by noisy GVS in both groups. Accordingly, the EEG power of theta, alpha, beta, and gamma bands significantly increased in the left parietal lobe after noisy GVS during walking and standing in both groups. GVS post-stimulation effect changed EEG activities in the left and right precentral gyrus, and the right parietal lobe. After stimulation, EEG activity changes were greater in healthy subjects than in patients. Our findings reveal noisy GVS as a non-invasive therapeutic alternative to improve postural stability in patients with BVH. This novel approach provides insight to clinicians and researchers on brain activities during noisy GVS in standing and walking conditions in both healthy and BVH patients.

3 October 2024 in Journal of Medical Internet Research
Verified
Journal Article
Open access
MWMing-Huan Wen
Ming-Huan Wen
PCPo-Yin Chen
Po-Yin Chen
SLShirling Lin
Shirling Lin
CLChing-Wen Lien
Ching-Wen Lien
STSheng-Hsiang Tu
Sheng-Hsiang Tu
DBDorothy Bai
Dorothy Bai
Background: The challenge of preventing in-patient falls remains one of the most critical concerns in health care. Objective: This study aims to investigate the effect of an integrated Internet of Things (IoT) smart patient care system on fall prevention. Methods: A quasi-experimental study design is used. The smart patient care system is an integrated IoT system combining a motion-sensing mattress for bed-exit detection, specifying different types of patient calls, integrating a health care staff scheduling system, and allowing health care staff to receive and respond to alarms via mobile devices. Unadjusted and adjusted logistic regression models were used to investigate the relationship between the use of the IoT system and bedside falls compared with a traditional patient care system. Results: In total, 1300 patients were recruited from a medical center in Taiwan. The IoT patient care system detected an average of 13.5 potential falls per day without any false alarms, whereas the traditional system issued about 11 bed-exit alarms daily, with approximately 4 being false, effectively identifying 7 potential falls. The bedside fall incidence during hospitalization was 1.2% (n=8) in the traditional patient care system ward and 0.1% (n=1) in the smart ward. We found that the likelihood of bedside falls in wards with the IoT system was reduced by 88% (odds ratio 0.12, 95% CI 0.01-0.97; P=.047). Conclusions: The integrated IoT smart patient care system might prevent falls by assisting health care staff with efficient and resilient responses to bed-exit detection. Future product development and research are recommended to introduce IoT into patient care systems combining bed-exit alerts to prevent inpatient falls and address challenges in patient safety.

15 June 2020 in Sensors
Verified
Journal Article
Open access
PDF file
FU-CHENG WANGFU-CHENG WANG
FU-CHENG WANG
YLYou-Chi Li
You-Chi Li
KWKai-Lin Wu
Kai-Lin Wu
PCPo-Yin Chen
Po-Yin Chen
LFLi-Chen Fu
Li-Chen Fu
This paper demonstrates the development of an automatic mobile trainer employing inertial movement units (IMUs). The device is inspired by Neuro-Developmental Treatment (NDT), which is an effective rehabilitation method for stroke patients that promotes the relearning of motor skills by repeated training. However, traditional NDT training is very labor intensive and time consuming for therapists, thus, stroke patients usually cannot receive sufficient rehabilitation training. Therefore, we developed a mobile assisted device that can automatically repeat the therapists’ intervention and help increase patient training time. The proposed mobile trainer, which allows the users to move at their preferred speeds, consists of three systems: the gait detection system, the motor control system, and the movable mechanism. The gait detection system applies IMUs to detect the user’s gait events and triggers the motor control system accordingly. The motor control system receives the triggering signals and imitates the therapist’s intervention patterns by robust control. The movable mechanism integrates these first two systems to form a mobile gait-training device. Finally, we conducted preliminary tests and defined two performance indexes to evaluate the effectiveness of the proposed trainer. Based on the results, the mobile trainer is deemed successful at improving the testing subjects’ walking ability.

7 October 2025 in JMIR Serious Games
Verified
Journal Article
Open access
DBDorothy Bai
Dorothy Bai
CTCheng Kian Tan
Cheng Kian Tan
PCPo-Yin Chen
Po-Yin Chen
YHYeh-Liang Hsu
Yeh-Liang Hsu
GLGong-Hong Lin
Gong-Hong Lin
Background: Social robots integrated with serious games hold promise as innovative nonpharmacological strategies in dementia care. However, limited studies have adopted quantitative, platform-level comparisons from the perspective of formal caregivers, who are key stakeholders in technology implementation in dementia care settings. Objective: This study aimed to evaluate the feasibility, usability, and overall user experience of a serious game–based interaction model delivered via a screen-equipped social robot, compared to a tablet-based version of the same model, from the perspective of formal dementia caregivers. Methods: A cross-sectional comparative study was conducted with 120 formal dementia caregivers. Each caregiver individually interacted with both a screen-equipped social robot and a touchscreen tablet, delivering identical serious game content incorporating cognitive exercises, music therapy, and reminiscence. The robot featured multimodal interaction capabilities, including voice, gestures, movement, and facial expression display, while the tablet relied on standard touchscreen functions. Caregivers evaluated both platforms using the User Experience Questionnaire (UEQ), System Usability Scale (SUS), and a customized Technology Acceptance Model (TAM). Group comparisons were performed using t tests, with post hoc Benjamini-Hochberg correction applied to control for multiple comparisons. Results: Caregivers generally favored the social robot over the tablet. The robot received higher total UEQ scores (mean 1.29, SD 1.14, vs mean 0.99, SD 1.08; P=.004), particularly in enjoyment (P=.002), friendliness (P=.006), clarity (P=.002), organization (P=.02), interest (P=.01), and innovation (P=.002). In the SUS, caregivers rated the robot higher for quick learning (mean 2.71, SD 0.79 vs mean 2.44, SD 0.81; P=.002), while overall SUS scores were comparable. TAM results indicated higher total scores for the robot (mean 4.03, SD 0.47 vs mean 3.67, SD 0.58; P=.002), with stronger ratings in perceived usefulness (P=.002), ease of use (P=.002), attitudes (P=.002), and behavioral intentions (P=.002). All P values are from 2-tailed t tests and were adjusted using the Benjamini–Hochberg procedure. Conclusions: The social robot used in this study was perceived by formal dementia caregivers as providing a more favorable user experience and eliciting a stronger intention to use compared to a tablet-based platform. These findings support the feasibility of social robots as a platform for delivering technology-supported activities in dementia care and provide a foundation for future research on their implementation and outcomes in dementia care.

31 July 2026 in Life
Verified
Journal Article
Open access
PDF file
CCCHIH-YA CHANG
CHIH-YA CHANG
YLYen-Sheng Lin
Yen-Sheng Lin
PCPo-Yin Chen
Po-Yin Chen
LCLi-wei Chou
Li-wei Chou
Adhesive capsulitis (AC) is a common fibroinflammatory shoulder disorder, affecting 2–5% of the general population and up to 20% of people with diabetes mellitus. Although historically considered self-limiting, the course frequently exceeds two years and imposes a substantial functional burden. Intra-articular corticosteroids remain the predominant first-line option, but their benefit is often short-lived and is offset by transient hyperglycemia in diabetic patients, potential tissue toxicity with repeated use, and limited durability. These limitations have prompted interest in non-steroidal, ultrasound-guided alternatives. This narrative review appraises two complementary strategies: ultrasound-guided regenerative injectates (hyaluronic acid, hypertonic dextrose prolotherapy, and platelet-rich plasma) and ultrasound-guided perineural hydrodissection of the suprascapular, axillary, and subscapular nerves. We summarize comparative efficacy with corticosteroids, durability, injection anatomy, and the subgroups most likely to benefit. We then propose—explicitly as a clinically defensible framework rather than a validated guideline—a phase-specific paradigm in which a timely non-steroidal injection provides early pain control while stage-appropriate rehabilitation drives functional recovery. The hypothesis that this sequence may compress the symptomatic course to approximately three to six months is supported by preliminary evidence and requires prospective validation. Because no head-to-head trial has compared the proposed paradigm with the corticosteroid-first standard, these recommendations warrant corresponding caution.