Hemu Chen
Anhui Medical University
6 Papers
6 Citations
Hemu Chen is an academic researcher from Anhui Medical University. The author has contributed to research in topics: Medicine & Cobb angle. The author has an hindex of 2, co-authored 3 publications.
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Papers
Patent
Method for automatically measuring Cobb angle
Nian Wang,Yongcheng Tu,Hemu Chen,Fei Tong,Jun Tang +4 more
- 25 Sep 2018
TL;DR: In this article, a method for automatically measuring the Cobb angle of a lumbar spondylolisthesis, fracture and other symptoms is presented, which is suitable for operating personnel with less Cobb angle measurement experience.
5
Body Weight Support Treadmill Training combined with Sciatic Nerve Electrical Stimulation Ameliorating Motor Function by Enhancing PI3K/Akt Proteins Expression via BDNF/TrkB Signaling Pathway in Rats with Spinal Cord Injury.
TL;DR: It was demonstrated that BWSTT combined with SNES contributed to alleviating spinal cord tissue injury, delaying muscle atrophy and improving locomotion, and one of the possible mechanisms may be related to the regulation of the BDNF/TrkB signaling pathway.
4
Analyzing the Effect of Badminton on Physical Health and Emotion Recognition on the account of Smart Sensors
TL;DR: Experimental results show that the emotion recognition technology based on smart sensors can well recognize the changes in people's emotions during badminton sports, and the accuracy of emotion recognition is higher than 70%.
Extraction of Cerebral Hemorrhage and Calculation of Its Volume on CT Image Using Automatic Segmentation Algorithm
Nian Wang,Fei Tong,Yongcheng Tu,Hemu Chen,Yong Zhou,Jun Tang +5 more
- 01 Apr 2019
Abstract: Cerebral hemorrhage is caused by a number of factors leading to cerebral vascular rupture, which causes blood to flow into the brain tissue and then clumps together to form hematoma. If the treatment is improper for patients with cerebral hemorrhage, their lives will be in great danger. Rapid, accurate and repeatable estimation of cerebral hemorrhage is considerably important for medical diagnosis and treatments. In this paper, an automatic system is proposed to segment the regions of cerebral hemorrhage from CT images. Then the volume of cerebral hemorrhage can be calculated by extracting the regions of cerebral hemorrhage. The segmentation method proposed in this paper is based on the Otsu algorithm, Chicken swarm optimization algorithm and local recursion algorithm. Meanwhile, the results of the proposed algorithm are compared with those given by the experts.