biomedicine signal processing is to apply the basic theories and methods of information science based on the characteristics of biomedicine signal, and study how to extract the information carried in various biomedical signals from observation records that are flooded by interference and noise, and further analyze, interpret, classify, display, store and transmit them.
In this issue, we specially invited University College tenured professor of simulation and biomedical electronics to help all those who are interested in studying abroad to improve their background in and improve their personal academic abilities .
Interested members of electrical engineering, communication, biomedical engineering , neuroscience , electronic power related major , please sign up to participate~
PBL scientific research project recommendation
drive wearable devices and implantable medical equipment research
scientific research project introduction
scientific research project introduction
This is an introductory course for biomedical signal and image processing.
topics include: bioelectric generation; biosignal detection using metal electrodes; electrocardiogram; amplifier and filter for biosignal recording design; and design considerations; 2D and 3D image formation; fluoroscopy, ultrasound, computed tomography and magnetic resonance imaging; spatial and frequency domain filtering and feature extraction; applications in diagnostic, treatment, and intervention.
Under the guidance of the professor, students will conduct academic research and discussion, and combine the course content to complete a scientific research paper or other scientific research output required by the professor. The form of scientific research output (group form or individual form) is checked by the professor throughout the process.
Introduction to
University College London
Simulation and Biomedical Electronics
Tenure professor
★ Has received a Ph.D. in Telecommunications Technology from Aston University, Birmingham, UK.
★ Has received a PhD in Electronics and Electrical Engineering from University College London and served as the research director of the department.
★ He has carried out international cooperation with many scientific research institutes in the global field.
★ Has published more than 1,300 articles in in journals and international conference prologues, written chapters for many books and magazines, and owned many patents.
★ He successfully won a co-winner of many Best Paper Awards and taught 25 doctoral students.
Scientific research project plan
Session 1:
Introduction to biomedical signals: properties of biomedical signals, examples of biomedical signals, objectives and difficulties in biomedical analysis. Electrocardiogram: basic electrocardiogram, electrocardiogram lead system, electrocardiogram signal characteristics. Signal conversion: a simple signal conversion system, biomedical signal conversion requirements, signal conversion circuit.
Session 2:
Signal Average: Basic knowledge of signal average, as the digital filter signal average, typical averager, signal average software, signal average limit. Adaptive noise cancellation: main noise canceller model, 60-Hz adaptive cancellation, and other applications of adaptive filtering using sine wave model.
Session 3:
Cardiac signal processing: basic ECG, ECG data acquisition, ECG lead system, ECG signal characteristics (parameters and their estimates), analog filter, ECG amplifier and QRS detector, ECG power spectrum, bandpass filtering technology, differential technology, template matching technology, A QRS detection algorithm, real-time ECG processing algorithm, ECG interpretation, ST segment analyzer, portable arrhythmia monitor.
Session 4:
Neural signal processing: the brain and its potential, the electrophysiological origin of brain wave , EEG signals and their characteristics (EEG rhythms, waves and transients), correlation.EEG channel analysis: EEG rhythm detection, EEG template matching, spike and wave detection.
PBL scientific research project harvest
▲ Professor recommendation letter
▲ Academic papers
▲ Academic evaluation report
▲ Project transcript
▲ Project transcript
▲ Academic ability improvement
Suitable for the population
√ Students who are interested in electrical engineering, communications, biomedical engineering, neuroscience, electronic and electricity related majors, etc.
√ Students who are interested in improving their knowledge level of and and academic ability 4
√ Students who have study abroad intention , participate in independent enrollment selection, cross major further study or plan to be admitted to a prestigious school
√ Hope to improve the application quality of study abroad documents , and exercise English paper writing ability
√ Students who hope to publish papers in academic journals improve personal competitiveness
√ Students who are deeply interested in overseas prestigious schools or have received admission letters from overseas universities and want to cross the gap between Chinese and foreign academic systems in advance
Project Harvest
Project Schedule
for details please send a private message to the consultant
[ASC Xinyan Academy]
ASC, a Chinese-name Xinyan Academy Society, was founded in 2008. It was led by the director and tenured professor of Harvard University and Princeton University . It is the first background improvement project in China with Ivy League schools as the core faculty, and it is also a scientific research project platform unanimously recognized by top universities in China and the United States.
core faculty comes from a tenured professor talent pool across the United States and the United Kingdom with more than 1,000 Ivy League schools, G5 top UK schools and top industry rankings. In combination with the most popular subject areas and industry hotspots, we will seamlessly connect students around the world in various subjects, colleges and time periods.
