Yunfei Ma

Prof. Yunfei Ma

Parallel robot and mechatronic system laboratory of Hebei province
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Research Focus & Metrics

Academic Career Length

6Years (2021-Present)

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

Representative Publications

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22 September 2021 in Electronics
Verified
Journal Article
Open access
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XMXiaofei Ma
Xiaofei Ma
XLXuan Liu
Xuan Liu
XLXinxing Li
Xinxing Li
YMYunfei Ma
Yunfei Ma
With the rapid development of the Internet of Things (IoTs), big data analytics has been widely used in the sport field. In this paper, a light-weight, self-powered sensor based on a triboelectric nanogenerator for big data analytics in sports has been demonstrated. The weight of each sensing unit is ~0.4 g. The friction material consists of polyaniline (PANI) and polytetrafluoroethylene (PTFE). Based on the triboelectric nanogenerator (TENG), the device can convert small amounts of mechanical energy into the electrical signal, which contains information about the hitting position and hitting velocity of table tennis balls. By collecting data from daily table tennis training in real time, the personalized training program can be adjusted. A practical application has been exhibited for collecting table tennis information in real time and, according to these data, coaches can develop personalized training for an amateur to enhance the ability of hand control, which can improve their table tennis skills. This work opens up a new direction in intelligent athletic facilities and big data analytics.

1 November 2024 in Journal of Solid State Electrochemistry
Verified
Journal Article
Closed access
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XMXiaofei Ma
Xiaofei Ma
Xiang WuXiang Wu
Xiang Wu
YMYunfei Ma
Yunfei Ma

1 January 2021 in Indian Journal of Pharmaceutical Sciences
Verified
Journal Article
Closed access
PDF file
TYT. Yang
T. Yang
CJC. Jiang
C. Jiang
YMYunfei Ma
Yunfei Ma
Was observed and then analyzed the patient’s clinical outcomes. Grouping mode of random number table was adopted. Test I group and II group covered 1000 patients, which was also the case for the control group. The three groups of patients received different treatments for wrist injury tenosynovitis and all enrolled patients were tennis players. Test I group’s 1000 patients were treated with needle prick plus Shenmai pain point injection therapy, test II group’s 1000 patients were treated with needle prick therapy, while control group patients were treated with partial closure therapy. Under different therapeutic intervention models, clinical outcomes of the three groups of wrist injury tenosynovitis patients before and after treatment were compared. Seen from the findings, wrist injury tenosynovitis symptoms of all the patients enrolled in the controlled trial were eased in varying degrees after surgery. Seen from clinical treatment efficiency, test I group’s clinical treatment efficiency was significantly higher than that of test II group and control group (p<0.05); test II group’s clinical treatment efficiency was significantly higher than that of control group (p<0.05); differences between groups was significant, with statistical research value. In the experimental study, we have come to a conclusion that treatment of wrist injury tenosynovitis with needle prick plus Shenmai pain point injection is with significant effect, which is worthy of clinical promotion and reference.