The 7th International Conference on Biomedical Engineering and Biotechnology (ICBEB 2018)
October 17th - 20th, 2018, Nanjing, China
• 中文版     • English
The China Physiological Signal Challenge 2018: Automatic identification of the rhythm/morphology abnormalities in 12-lead ECGs

Invitation Letter (in English)        Invitation Letter (in Chinese)

Frequently Asked Questions (FAQs)
Q1: How can I register to attend this challenge?
R1: Please click to complete the registration.

Q2: How can we register team information to join the challenge?
R2: We suggest that the team leader, or one of the team representatives registers an account on behalf of the team in the system.

Q3: The sample entry, ‘CSPC2018_challenge.m’, is unable to be downloaded.
R3: Right click, save link as, and then download is finished.

Q4: How should I submit the challenge entries with the provided sample entry ‘CSPC2018_challenge’?
R4: You can add the classification codes in the ‘CSPC2018_challenge.m', and submit the updated version of 'CSPC2018_challenge.m'. At this moment, please focus on the methods you need to develop, and submit the ‘CSPC2018_challenge.m’ with developed codes. Please do not only upload the example code without any essential content.

Q5: Any requirements for input and output of the code to be submitted?
R5: Test data and training data are exactly in the same format. The input of the submitted code is the data path, and the output is the classification result of all the data.

Q6: How should I name the main function?
R6: Please name it CSPC2018_challenge.

Q7: If we use the python environment, can the test system support commonly used packages, such as keras, wfdb, numpy?
R7: Yes, It can.

The China Physiological Signal Challenge (CPSC) 2018 is the 1st China Physiological Signal Challenge, which will be held during the 7th International Conference on Biomedical Engineering and Biotechnology (ICBEB 2018) in Nanjing, China. The CSPC aims to provide a platform for the open-source data and algorithms for the physiological signal analysis, and thus to promote the open-source research pattern for the cardiovascular disease detection and prediction in China.
The CPSC2018 aims to encourage the development of algorithms to identify the rhythm/morphology abnormalities from 12-lead ECGs, lasting several seconds to tens of seconds. The 12-lead ECGs used in CPSC 2018 include one normal type and eight abnormal types, which are detailed as:
(1) Atrial fibrillation (AF)
(2) First-degree atrioventricular block (I-AVB)
(3) Left bundle brunch block (LBBB)
(4) Right bundle brunch block (RBBB)
(5) Premature atrial contraction (PAC)
(6) Premature ventricular contraction (PVC)
(7) ST-segment depression (STD)
(8) ST-segment elevated (STE)

Challenge Data
The challenge ECG recordings were collected from 11 hospitals. The training set contains 6,877 (female: 3178; male: 3699) 12 leads ECG recordings lasting from 6 s to just 60 s (see Table 1) and the test set contains 2,954 ECG recordings with the similar lengths. The test set is unavailable to the public and will remain private for the purpose of scoring.
ECG recordings were sampled as 500 Hz. All data are provided in MATLAB format (each recording is a .mat file containing the ECG data, as well as the patient sex and age information). More details of the training set can be seen in Table 1. Figure 1 shows an example 12-lead ECG waveforms.
There is a REFERENCE.csv file for the training data to provide the labels for each recording. The majority of the recordings only have one labeling (denoted as First label). However, a few recordings have up to three labels (denoted as First label, Second label and Third label respectively). For example, the recording of A0043 has two labels: First label 5 and Second label 2, indicating that this recording is identified as both RBBB and AF. If your code gives either of these two judgments, it is right for classification.

Since the size of the whole training set is large, we seperate the training set as three sub-sets. You can download them respectively and imerge them in one training set file. For detailed training data, please download from Training Set 1, Training Set 2, and Training Set 3.

Table 1: Data profile for the training set according to the ‘Frist label’ annotations.
Type#recordingTime length (s)
Atrial fibrillation (AF)109815.018.399.0011.0060.00
First-degree atrioventricular block (I-AVB)70414.327.2110.0011.2760.00
Left bundle branch block (LBBB)20714.928.099.0012.0060.00
Right bundle branch block (RBBB)169514.427.6010.0011.1960.00
Premature atrial contraction (PAC)55619.4612.369.0014.0060.00
Premature ventricular contraction (PVC)67220.2112.856.0015.0060.00
ST-segment depression (STD)82515.136.828.0012.7860.00
ST-segment elevated (STE)20217.1510.7210.0011.8960.00

Figure 1. Example of the 12-lead ECG waveforms (Left bundle brunch block, from A0011)

The scoring for CPSC2018 uses a F1 measure, which is an average of the nice F1 values from each classification type. The counting rules for the numbers of the variables are defined in Table 2 as below:
Table 2: Counting rules for the numbers of the variables.
STE N91N92N93N94N95N96N97N98N99N9x

For each of the nine types, F 1 is defined as:
Normal: F11=2 × N11N1x + Nx1                       AF: F12=2 × N22N2x + Nx2                       I-AVF: F13=2 × N33N3x + Nx3                       LBBB: F14=2 × N44N4x + Nx4

RBBB: F15=2 × N55N5x + Nx5             PAC: F16=2 × N66N6x + Nx6             PVC: F17=2 × N77N7x + Nx7            STD: F18=2 × N88N8x + Nx8            STE: F19=2 × N99N9x + Nx9

The final challenge score is defined as follows:

F1=F11  +  F12   +  F13   +  F14   +  F15   +  F16   +  F17   +  F18   +  F199

In addition, we also calculate the F1 measures for each of the four sub-abnormal types, i.e., the AF, block, premature contraction and ST-segment change, as follows:

AF: FAF=2 × N22N2x + Nx2                                                                         Block: FBlock=2 × (N33   +  N44   +  N55   )N3x + Nx3 + N4x + Nx4 + N5x + Nx5

Premature contraction: FPC=2 × (N66   + N77   )N6x + Nx6 + N7x + Nx7                    ST-segment change: FST=2 × (N88   +  N99   )N8x + Nx8 + N9x + Nx9

Participating in the challenge
To participate in the challenge, you will need to submit a software written by Matlab or Python that is able to run on the test data and output the final classification result without user interaction in our test environment. One sample entry ‘CSPC2018_challenge.m’ (written in MATLAB) is available to help you get started. The team must submit the first challenge open-source entry before June 1, 2018. The deadline for submitting the challenge entries is October 1, 2018.
Please use the following link to upload your codes, .

Awards and Rules
The winner will be selected on the basis of the obtained final F1 score on the hidden test data. The first three will receive certificates and generous bonuses:
• First prize: Certificate plus bonus of RMB 30,000
• Second prize: Certificate plus bonus of RMB 15,000
• Third prize: Certificate plus bonus of RMB 5,000

In addition, we also provide the certificates and bonuses for the winners with the highest scores of FAF, FBlock, FPC and FST respectively, for each of the four sub-abnormal types classification:
• AF classification winner: Certificate plus bonus of RMB 2,500
• Block classification winner: Certificate plus bonus of RMB 2,500
• Premature contraction classification winner: Certificate plus bonus of RMB 2,500
• ST-segment change classification winner: Certificate plus bonus of RMB 2,500

We welcome all the individual or research group in the world to attend the challenge. To be eligible for the award, please do the following:
(Please be noted that paper submission is not mandatory and will not affect the challenge score. The rule of No. (2) has been modified as below.)
(1). Submit at least one open-source entry that can be scored before June 1, 2018.
(2). Submit a conference paper about your work to ICBEB 2018 before August 31. Please select "China Physiological Signal Challenge" as the topic of your submitted paper, so it can be identified easily by the review committee.
(3). Attend ICBEB 2018 (October 17-20, 2018) in Nanjing, China and present your work there.

Please do not submit analysis of this year’s Challenge data to other Conferences or Journals until after ICBEB 2018 has taken place, so the competitors are able to discuss the results in a single forum.

Important Dates
January 15, 2018 -- Challenge open
April 1, 2018 -- Deadline for team registration to join the challenge
June 1, 2018 -- Deadline for submitting the first challenge open-source entry
October 1, 2018 -- Deadline for submitting the challenge entries
October 17-20, 2018 – Announcement of the winners of CPSC 2018 in ICBEB 2018

Any questions or problems about the Chanllenge, please feel free to contact

Challenge Chair:
Prof. Chengyu Liu, Southeast University, China

Challenge Committee:
Dr. Feifei Liu, Southeast University, China
Dr. Xiangyu Zhang, Southeast University, China
Dr. Lina Zhao, Southeast University & Shandong University, China
Prof. Xiaoling Wu, Nanjing Medical University, China

International Advisory Chair:
Prof. Gari D. Clifford, Emory University & Georgia Institute of Technology, USA

International Advisory Co-chairs:
Prof. Aiguo Song, Southeast University, China
Prof. Jianqing Li, Nanjing Medical University, China
Mr. Yingjia Yao, Lenovo Group, China
Prof. Zhongze Gu, Southeast University, China

International Advisory Committee:
Prof. Eddie Ng Yin Kwee, Nanyang Technological University, Singapore
Prof. Amit Shah, Emory University, USA
Prof. Li Zhang, University of Northumbria, UK
Prof. Zhengbo Zhang, The 301 Military Hospital, China
Prof. Shoushui Wei, Shandong University, China
Prof. Hong Tang, Dalian University of Technology, China
Prof. Yuan Zhang, University of Jinan, China

Hosted by:
School of Instrument Science and Engineering, Southeast University, China
School of Biomedical Engineering and Information, Nanjing Medical University, China

Organized by:
ICBEB Organizing Committee
Chinese Institute of Electronics, Biomedical Electronics Branch
China Cognitive Society, Neuro-education Branch
Jiangsu Instrument and Control Society

Awards sponsored by:
Lenovo Group


The 7th International Conference on Biomedical Engineering and Biotechnology
Conference Secretary General: Linda Li   Assistants: Annie Zhu, Cassie Cheng
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