Agenda:

Angela McIntyre, Welcome
Professor Zhenan Bao, “Soft electronic neural sensors and interfaces”
Professor Gen Shinozaki, MD, “Game changing approach for delirium: Bispectral EEG (BSEEG) device to detect delirium and predict outcomes”
Professor Xiang Qian, M.D., “Breaking the pain cycle: Innovative interventions for headache and facial pain”
Professor Ada Poon, “A battery-free sticker-like reader for wireless passive sensors”
Professor David Eagleman, “Can we create new senses for humans?”
Panel Discussion– “Use of wearables and their data in healthcare”: Ritu Kapur, Ph.D. (Verily Numetric); Daniel Kraft, M.D. (NextMed Health, Digital.Health, and Continuum Health Ventures); Paul Upham, (Genentech/Roche); Ray Woo, Ph.D. (Ceribell, Inc); Nichole Young-Lin, M.D. (Google; United Nations Population Fund); Moderator: Angela McIntyre
Poster Session & Reception (In-person only, Huang Foyer, 4:00pm-6:00pm)

Speakers:

“Sensors – Opportunities and challenges in building”

Speaker: Zhenan Bao, K.K. Lee Professor in Chemical Engineering, Stanford University

Abstract: In this talk, I will present our recent developments and applications of soft electronic sensors for neurochemicals, single neuron electrical recording and electrical stimulation.

“Breaking the pain cycle: Innovative interventions for headache and facial pain”   

Speaker: Gen Shinozaki, Associate Professor of Psychiatry and Behavioral Sciences (General Psychiatry and Psychology (Adult)), Stanford University

Abstract: Delirium screening has been largely dependent on instruments, such as Delirium Rating Scale (DRS) or Confusion Assessment Method (CAM). However, in a practical setting, those tools have not been consistently implemented. Although EEG has been well known to be useful in detecting delirium, its use is often practically limited for neurology specialists. Simplified EEG has been, however, used in different specialties to guide specific procedures. One is with anesthesia to monitor the depth of sedation. Another is with ECT to monitor seizure duration. We developed a novel BSEEG device and algorithm for delirium detection and outcome prediction. The BSEEG method has been validated in over 1,000 patients. The demo of the new thumb-size BSEEG device with the iPhone app will be introduced at the presentation. 

“Imaging and wearables for deep brain stimulation programming: Innovation in a regulated industry”

Speaker: Xiang Qian, Stanford Medicine Endowed Director; Clinical Professor, Anesthesiology, Perioperative And Pain Medicine; Clinical Professor (By Courtesy), Neurosurgery, Stanford University

Abstract: The regulated nature of the medical device industry presents unique challenges in bringing innovation to patients. This talk will begin by highlighting some of those challenges and their impact on medical device innovation timelines. I will then discuss prospects the use of imaging and wearables to guide deep brain stimulation programming. I will draw primarily upon our own work at Boston Scientific but will also touch upon the work of other players in the field.

“A battery-free sticker-like reader for wireless passive sensors”

Speaker: Ada Poonl, Associate Professor of Electrical Engineering, Stanford Unviersity

Abstract: Wireless passive sensors, being battery-free and simple, are suitable for disposable uses across various applications, from tracking food, monitoring the environment, to clinical diagnostics. However, their utilization is hampered by the complexity of existing readout techniques and the absence of memory functionality within the sensor. Here, we present a reader technique that can automatically lock to the sensor value wirelessly through inductive coupling, thus significantly reducing the reader complexity. By integrating a high-frequency audio link and wireless powering, we demonstrate a battery-free and flexible reader that paves the way for disposable solutions. We proceed to employ this reader for wireless temperature logging from a passive non-volatile thermistor sensor. This sensor logs temperature data based on the irreversible geometric change of low-melting-point metal during phase transitions, resulting in non-volatile resistance change. As a whole, these results establish the feasibility of a simplistic reader and a passive non-volatile thermistor sensor, opening up new possibilities for disposable and ubiquitous temperature monitoring, as well as a range of other applications.