Ran Xiao | Scholars@Duke

Ran Xiao
Assistant Consulting Professor in the School of Nursing

My research passion lies in utilizing advanced signal processing and machine learning to advance the field of biomedical research. My research interests include understanding neuromotor related diseases (such as Cerebral Palsy and Parkinson's disease) through analyzing invasive and noninvasive eletrophysiologic signals (EEG, LFP, ECoG), studying dynamics and early prediction of acute coronary syndrome from pre- and in-hospital ECG recordings. I'm also interested in biomedical informatics using data mining and machine learning techniques to analyze multi-modality data (bedside monitor alarms, electronic health record, vital signs, physiologic data) towards precision patient monitoring in critical care settings.

Current Research Interests

data mining, machine learning and deep learning in biomedical informatics; neuromotor development at early age; Pathophysiology in Parkinson's disease; early prediction of mycardial infarction; early warning system using EHR in critical care setting.

Office Hours

By appointment only.

Current Appointments & Affiliations

Assistant Consulting Professor in the School of Nursing, School of Nursing, Duke University 2022

Contact Information

DUMC 3322,307 Trent Drive, Durham, NC 27710
ran.xiao@duke.edu

Background
Education, Training, & Certifications
- Ph.D., University of Oklahoma 2015
Previous Appointments & Affiliations
- Assistant Research Professor in the School of Nursing, School of Nursing, Duke University 2020 - 2022
Recognition
Awards & Honors
- Research Computing Symposium Poster Competition 2nd Place Award. Duke Research Computing. February 2020
- Winner of Jos Willems (JW) Early Career Investigator Competition. The International Society for Computerized Electrocardiology (ISCE) . 2018
Expertise
Subject Headings
Research
Selected Grants
- Emergence of Arm Reaching Behavior and Lateralization of Motor Control in Infancy awarded by Children's Hospital, Los Angeles 2021 - 2023
- Learning to Predict Delayed Cerebral Ischemia with Novel Continuous Cerebral Arterial State Index awarded by National Institutes of Health 2020 - 2021
External Relationships
- nihon kohden usa
Publications & Artistic Works
Selected Publications
- Academic Articles
  - Xiao, Ran, Cheng Ding, Xiao Hu, Gari D. Clifford, David W. Wright, Amit J. Shah, Salah Al-Zaiti, and Jessica K. Zègre-Hemsey. “Integrating multimodal information in machine learning for classifying acute myocardial infarction.” Physiological Measurement 44, no. 4 (April 2023). https://doi.org/10.1088/1361-6579/acc77f.
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  - Ding, Cheng, Ran Xiao, Duc Do, David Scott Lee, Randall J. Lee, Shadi Kalantarian, and Xiao Hu. “Log-Spectral Matching GAN: PPG-based Atrial Fibrillation Detection can be Enhanced by GAN-based Data Augmentation with Integration of Spectral Loss.” Ieee Journal of Biomedical and Health Informatics PP (January 2023). https://doi.org/10.1109/jbhi.2023.3234557.
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  - Ding, Cheng, Tania Pereira, Ran Xiao, Randall J. Lee, and Xiao Hu. “Impact of Label Noise on the Learning Based Models for a Binary Classification of Physiological Signal.” Sensors (Basel, Switzerland) 22, no. 19 (September 2022): 7166. https://doi.org/10.3390/s22197166.
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  - Xiao, Ran, Cheng Ding, and Xiao Hu. “Time Synchronization of Multimodal Physiological Signals through Alignment of Common Signal Types and Its Technical Considerations in Digital Health.” Journal of Imaging 8, no. 5 (April 2022): 120. https://doi.org/10.3390/jimaging8050120.
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  - Shakya, Shamatree, Julia Prevett, Xiao Hu, and Ran Xiao. “Characterization of Parkinson's Disease Subtypes and Related Attributes.” Frontiers in Neurology 13 (January 2022): 810038. https://doi.org/10.3389/fneur.2022.810038.
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  - Gadhoumi, Kais, Alex Beltran, Christopher G. Scully, Ran Xiao, David O. Nahmias, and Xiao Hu. “Technical considerations for evaluating clinical prediction indices: a case study for predicting code blue events with MEWS.” Physiological Measurement 42, no. 5 (June 2021). https://doi.org/10.1088/1361-6579/abfbb9.
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  - Nishiyori, Ryota, Ran Xiao, Douglas Vanderbilt, and Beth A. Smith. “Electroencephalography measures of relative power and coherence as reaching skill emerges in infants born preterm.” Scientific Reports 11, no. 1 (February 2021): 3609. https://doi.org/10.1038/s41598-021-82329-7.
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  - Zhang, Oliver, Cheng Ding, Tania Pereira, Ran Xiao, Kais Gadhoumi, Karl Meisel, Randall J. Lee, Yiran Chen, and Xiao Hu. “Explainability Metrics of Deep Convolutional Networks for Photoplethysmography Quality Assessment.” Ieee Access : Practical Innovations, Open Solutions 9 (January 2021): 29736–45. https://doi.org/10.1109/access.2021.3054613.
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  - Pereira, Tania, Kais Gadhoumi, Mitchell Ma, Xiuyun Liu, Ran Xiao, Rene A. Colorado, Kevin J. Keenan, Karl Meisel, and Xiao Hu. “A Supervised Approach to Robust Photoplethysmography Quality Assessment.” Ieee Journal of Biomedical and Health Informatics 24, no. 3 (March 2020): 649–57. https://doi.org/10.1109/jbhi.2019.2909065.
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  - Xiao, Ran, Duc Do, Cheng Ding, Karl Meisel, Randall Lee, and Xiao Hu. “Generalizability of SuperAlarm via Cross-Institutional Performance Evaluation.” Ieee Access : Practical Innovations, Open Solutions 8 (January 2020): 132404–12. https://doi.org/10.1109/access.2020.3009667.
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  - Xiao, Ran, Mahsa Malekmohammadi, Nader Pouratian, and Xiao Hu. “Characterization of pallidocortical motor network in Parkinson's disease through complex network analysis.” Journal of Neural Engineering 16, no. 6 (November 2019): 066034. https://doi.org/10.1088/1741-2552/ab4341.
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  - Liu, Xiuyun, Kais Gadhoumi, Ran Xiao, Nate Tran, Peter Smielewski, Marek Czosnyka, Steven W. Hetts, Nerissa Ko, and Xiao Hu. “Continuous monitoring of cerebrovascular reactivity through pulse transit time and intracranial pressure.” Physiological Measurement 40, no. 1 (January 2019): 01LT01. https://doi.org/10.1088/1361-6579/aafab1.
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  - Xiao, Ran, Yuan Xu, Michele M. Pelter, Richard Fidler, Fabio Badilini, David W. Mortara, and Xiao Hu. “Monitoring significant ST changes through deep learning.” Journal of Electrocardiology 51, no. 6S (November 2018): S78–82. https://doi.org/10.1016/j.jelectrocard.2018.07.026.
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  - Hooyman, Andrew, David Kayekjian, Ran Xiao, Crystal Jiang, Douglas L. Vanderbilt, and Beth A. Smith. “Relationships between variance in electroencephalography relative power and developmental status in infants with typical development and at risk for developmental disability: An observational study.” Gates Open Research 2 (September 11, 2018): 47–47. https://doi.org/10.12688/gatesopenres.12868.1.
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  - Pelter, Michele M., Yuan Xu, Richard Fidler, Ran Xiao, David W. Mortara, and Hu Xiao. “Evaluation of ECG algorithms designed to improve detect of transient myocardial ischemia to minimize false alarms in patients with suspected acute coronary syndrome.” Journal of Electrocardiology 51, no. 2 (March 2018): 288–95. https://doi.org/10.1016/j.jelectrocard.2017.10.005.
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  - Hooyman, Andrew, David Kayekjian, Ran Xiao, Crystal Jiang, Douglas L. Vanderbilt, and Beth A. Smith. “Relationships between variance in electroencephalography relative power and developmental status in infants with typical development and at risk for developmental disability: An observational study.” Gates Open Research 2 (January 2018): 47. https://doi.org/10.12688/gatesopenres.12868.2.
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  - Xiao, Ran, Joanne Shida-Tokeshi, Douglas L. Vanderbilt, and Beth A. Smith. “Electroencephalography power and coherence changes with age and motor skill development across the first half year of life.” Plos One 13, no. 1 (January 2018): e0190276. https://doi.org/10.1371/journal.pone.0190276.
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  - Xiao, Ran, Xiao Qi, Alejandro Patino, Andrew H. Fagg, Thubi H. A. Kolobe, David P. Miller, and Lei Ding. “Characterization of infant mu rhythm immediately before crawling: A high-resolution EEG study.” Neuroimage 146 (February 2017): 47–57. https://doi.org/10.1016/j.neuroimage.2016.11.007.
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  - Tong, Jijun, Qinguang Lin, Ran Xiao, and Lei Ding. “Combining multiple features for error detection and its application in brain-computer interface.” Biomedical Engineering Online 15 (February 2016): 17. https://doi.org/10.1186/s12938-016-0134-9.
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  - Xiao, Ran, and Lei Ding. “EEG resolutions in detecting and decoding finger movements from spectral analysis.” Frontiers in Neuroscience 9 (January 2015): 308. https://doi.org/10.3389/fnins.2015.00308.
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  - Liao, Ke, Ran Xiao, Jania Gonzalez, and Lei Ding. “Decoding individual finger movements from one hand using human EEG signals.” Plos One 9, no. 1 (January 2014): e85192. https://doi.org/10.1371/journal.pone.0085192.
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  - Xiao, Ran, and Lei Ding. “Evaluation of EEG features in decoding individual finger movements from one hand.” Computational and Mathematical Methods in Medicine 2013 (January 2013): 243257. https://doi.org/10.1155/2013/243257.
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- Conference Papers
  - Nishiyori, Ryota, Ran Xiao, Douglas Vanderbilt, and Beth Smith. “Changes in Relative Power Using EEG in Preterm Infants Across the First Months of Life.” In Journal of Sport & Exercise Psychology, 42:S19–S19, 2020.
    Link to Item
  - Xiao, Ran, Johnathan King, Andrea Villaroman, Duc H. Do, Noel G. Boyle, and Xiao Hu. “Predict In-Hospital Code Blue Events using Monitor Alarms through Deep Learning Approach.” In Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual International Conference, 2018:3717–20, 2018. https://doi.org/10.1109/embc.2018.8513269.
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  - Xiao, Ran, Xiao Qi, Andrew H. Fagg, Thubi H. A. Kolobe, David P. Miller, and Lei Ding. “Spectra of infant EEG within the first year of life: A pilot study.” In Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual International Conference, 2015:4753–56, 2015. https://doi.org/10.1109/embc.2015.7319456.
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  - Xiao, Ran, and Lei Ding. “Classification of finger pairs from one hand based on spectral features in human EEG.” In Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual International Conference, 2014:1263–66, 2014. https://doi.org/10.1109/embc.2014.6943827.
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  - Xiao, Ran, Ke Liao, and Lei Ding. “Discriminating multiple motor imageries of human hands using EEG.” In Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual International Conference, 2012:1773–76, 2012. https://doi.org/10.1109/embc.2012.6346293.
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  - Liu, Xiuyun, and Ran Xiao. “Pulse transit time can replace direct arterial pressure measurement in continuous monitoring of cerebrovascular reactivity,” n.d.
  - Xiao, Ran, and Beth Smith. “Electroencephalography coherence in infants at risk for developmental delay across the first half year of life,” n.d.
  - Xiao, Ran, and Beth Smith. “Electroencephalography power in infants at risk for developmental delay across the first half year of life,” n.d.
  - Xiao, Ran, and lei Ding. “Decoding Individual Finger Movements using Noninvasive EEG,” n.d.
  - Xiao, Ran. “Cross-Institutional Evaluation of SuperAlarm Algorithm for Predicting In-Hospital Code Blue Events,” n.d.
  - Xiao, Ran. “A Deep Learning Approach to Examine Ischemic ST Changes in Ambulatory ECG Recordings,” n.d.
- Preprints
  - Xiao, Ran, Cheng Ding, Xiao Hu, and Jessica Zègre-Hemsey. “ML for MI - Integrating Multimodal Information in Machine Learning for Predicting Acute Myocardial Infarction.” Cold Spring Harbor Laboratory, October 26, 2022. https://doi.org/10.1101/2022.10.25.22281536.
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Teaching & Mentoring
Recent Courses

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Education, Training, & Certifications

Previous Appointments & Affiliations

Awards & Honors

Subject Headings

Selected Grants

External Relationships

Selected Publications

Academic Articles

Conference Papers

Preprints

Recent Courses