Yinan (Tom) Xuan  宣一楠

Yinan (Tom) Xuan宣一楠

About

I am currently an ECE Ph.D. candidate working with Professor Edward Wang at the Digihealth Lab, focusing on Machine Learning and Data Science at the University of California, San Diego (UCSD). I completed my undergraduate studies at UCSD, majoring in Physiology and Neuroscience with a minor in Cognitive Science. During my M.S. training, I was mentored by Professor Jing Wang to explore the neurobiology of olfaction in Drosophila Melanogaster, also known as fruit flies.

My research interests are at the intersection of ubiquitous computing, personal tracking, and human-computer interaction (HCI). I am deeply engaged in the development of accessible, wearable health solutions through an end-to-end approach. My work predominantly focuses on sensing for human activities and physiological status, where I blend applied machine learning with my adeptness in prototyping both hardware and software systems. This interdisciplinary approach underscores my role as a generalist, committed to innovating in sensing technologies for accurate monitoring of human physiological and activity metrics.

If you're interested in my work or would like to discuss research ideas, please feel free to email me!

Latest Updates

-Last Updated: Mar 12, 2024

Research

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A calibration method for smartphone camera photophlethysmography

Yinan Xuan, Colin Barry, Nick Antipa, and Edward Jay Wang

Frontiers in Digital Health

Smartphone camera photoplethysmography (cPPG) enables non-invasive pulse oximetry and hemoglobin concentration measurements. However, the aesthetic-driven non-linearity in default image capture and preprocessing pipelines poses challenges for consistency and transferability of cPPG across devices. This work identifies two key parameters—tone mapping and sensor threshold—that significantly impact cPPG measurements. We propose a novel calibration method to linearize camera measurements, thus enhancing consistency and transferability of cPPG across devices.

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Ultra-low-cost Mechanical Smartphone Attachment for No-Calibration Blood Pressure Measurement

Yinan Xuan, Colin Barry, Jessica De Souza, Jessica Wen, Nick Antipa, Alison Moore, and Edward Wang

Nature Scientific Reports

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BPClip is a low-cost 3D-printed smartphone attachment for blood pressure monitoring that utilizes a smartphone's camera and flashlight. This device aims to make blood pressure measurement more accessible, particularly in resource-limited settings. By promoting the use of this affordable technology, the intention is to facilitate better management of hypertension and overall health for individuals worldwide.

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Enabling Smartphone Pupillometry using a Facial Identification Camera in At-Home Environments

Colin Barry, Jessica de Souza, Yinan Xuan, Jason Holden, Eric Granholm, and Edward Jay Wang

CHI 2022

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Best Paper Honorable Mention Award

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SpecTracle: Wearable Facial Motion Tracking from Unobtrusive Peripheral Cameras

Yinan Xuan, Varun Viswanath, Sunny Chu, Owen Bartolf, Jessica Echterhoff, and Edward Wang

arXiv

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Odor VR

This project is an olfactory VR system, designed to measure odor-guided behaviors in Drosophila melanogaster (fruit fly). The system is composed of three parts: a spherical treadmill, an olfactometer (for controlled odor delivery), and a feedback system (to adjust odor delivery based on the fly's position within the virtual world).

The system is specifically designed to be compatible with two-photon and three-photon imaging, enabling simultaneous recording of neuronal activity in the fruit fly's brain and its behavioral responses.

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A Nutrient-specific Gut Hormone Arbitrates Between Courtship and Feeding

Hui-Hao Lin, Meihua Christina Kuang, Imran Hossain, Yinan Xuan, Laura Beebe, Andrew K. Shepherd, Marco Rolandi, Jing W. Wang

Nature

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I built a data processing pipeline designed to automatically extract and analyze individual cell activity information from calcium imaging videos. The goal is to eliminate excessive manual effort and facilitate the study of biological questions related to enteroendocrine cells in the mid-gut of Drosophila melanogaster (fruit fly). While the pipeline is fine-tuned for this study, it has the potential to be applied to imaging videos of other tissues or animals.

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Valve Control System

In this project, a control system is designed and deployed to independently control the opening of eight solenoid valves. Special considerations have been taken to implement the control signal as spike-and-hold, in accordance with the requirements specified in the valve datasheet.

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Fruit Fly Anesthesia Stage

A feedback control system was developed to maintain the temperature of a metal holding rig at a sufficiently low level to anesthetize flies for surgeries, such as opening the head or the back, under a microscope.

Electronic cigarettes induce DNA strand breaks and cell death independently of nicotine in cell lines

Vicky Yu, Mehran Rahimy, Avinaash Korrapati, Yinan Xuan, Angela E. Zou, Aswini R. Krishnan, Tzuhan Tsui, Joseph A. Aguilera, Sunil Advani, Laura E. Crotty Alexander, Kevin T. Brumund, Jessica Wang-Rodriguez, and Weg M. Ongkeko

Oral Oncology

Transcriptome sequencing uncovers novel long noncoding and small nucleolar RNAs dysregulated in head and neck squamous cell carcinoma

Angela E. Zou, Jonjei Ku, Thomas K. Honda, Vicky Yu, Selena Z. Kuo, Hao Zheng, Yinan Xuan, Maarouf A. Saad, Andrew Hinton, Kevin T. Brumund, Jonathan H. Lin, Jessica Wang-Rodriguez, and Weg M. Ongkeko

RNA

The non-coding landscape of head and neck squamous cell carcinoma

Angela E. Zou, Hao Zheng, Maarouf A. Saad, Mehran Rahimy, Jonjei Ku, Selena Z. Kuo, Thomas K. Honda, Jessica Wang-Rodriguez, Yinan Xuan, Avinaash Korrapati, Vicky Yu, Pranav Singh, Jennifer R. Grandis, Charles C. King, Scott M. Lippman, Xiao Qi Wang, Andrew Hinton, and Weg M. Ongkeko

Oncotarget

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