Hao Dongmei

Personal profile

Name:Hao Dongmei

Gender:Female

Degrees:Ph.D.

Title:Associate Professor

E-mail:haodongmei@bjut.edu.cn

Current Professional Societies

1. Member of Chinese Society of Biomedical Engineering;

2. Member of China Instrument and Control Society;

3. Member of China Association of Medical Equipment.

Research Areas

  1. Physiological Signal Measurement and Analysis;

2. Medical Instrument Development;

3. Medical Pattern Recognition.

Honors

1.‘Chinese Medical Science and Technology Award for an outstanding clinical study of preeclampsia with hemodynamics;

2. Students she has supervised have received 40+ awards including the Science and Technology Innovation, Excellent Graduation Thesis, National Scholarship for Graduates, Beijing Outstanding Graduates, Academic Excellence, and Merit Student and Excellent Student Cadre.

Publications

[1]Hao D*, Peng J, Wang Y et al. Evaluation of convolutional neural network for recognizing uterine contractions with electrohysterogram.Comput Biol Med2019; 113: 103394

[2] Peng J,Hao D*,Liu H et al. Preliminary study on the efficient electrohysterogram segments for recognizing uterine contractions with convolutional neural work.BioMed Res Int.2019;https://doi.org/10.1155/2019/3168541.

[3]Hao D*, Qiu Q, Zhou X et a. Application of decision tree in determining the importance of surface electrohysterography signal characteristics for recognizing uterine contractions.Biocybern Biomed Eng, 2019; 39: 806– 813

[4]QiuQ,CaoL,Hao D*et al. Muscle extremely low frequency magnetic stimulation eliminates the effect of fatigue on EEG-EMG Coherence during the lateral raise task: a pilot quantitative investigation.BioMed Res Int2018; Doi: 10.1155/2018/7673068.

[5] Gao P,Hao D*, An Y, et al. Comparison of electrohysterogram signal measured by surface electrodes with different designs: A computational study with dipole band and abdomen models.Sci Rep2017; 7: Doi: 10.1038/s41598-017-17109-3.

[6] Wang Y, Cao L,Hao D*,et al. Effects of force load, muscle fatigue and extremely low frequency magnetic stimulation on EEG signals during side arm lateral raise task.Physiol Meas2017; 38: 745-758.

Personal Statement

Hao Dongmei, Associate Professor, Master’s Student Supervisor, is the Dean of Intelligent Physiological Measurement and Clinical Translation, Beijing International Platform for Scientific and Technological Cooperation. She has been presiding over projects funded by Bill & Melinda Gates Foundation, National Key R&D Program of China, National Natural Science Foundation of China, and Beijing Natural Science Foundation, etc., with 60+ scientific papers on peer-reviewed prestigious journals and 10+ patents in the field of biomedical engineering. She has close links with the leading hospitals and high-tech companies in China and has successfully commercialized the Monitoring System for Hypertensive Disorders of Pregnancy.