Programme

Speakers at The European Conference on Aging & Gerontology (EGen2019) will provide a variety of perspectives from different academic and professional backgrounds. This page provides details of featured presentations, the conference schedule and other programming. For more information about presenters, please visit the Speakers page.


Conference Outline

Saturday, December 07, 2019Sunday, December 08, 2019

09:30-10:15: Conference Registration & Morning Coffee | Lounge

10:15-10:45: Announcements & Welcome Address | Lecture Theatre 1
Haruko Satoh, Osaka University, Japan
Shin-Ichi Ohnuma, University College London, United Kingdom
James McNally, NACDA, United States
Joseph Haldane, IAFOR, Japan

11:00-11:30: Keynote Presentation | Lecture Theatre 1
Hiroshi Ishiguro, Osaka University, Hiroshi Ishiguro Laboratories, Japan
(by video address)

11:30-12:00: Keynote Presentation | Lecture Theatre 1
Tsuyoshi Sekitani, Osaka University, Japan

12:15-12:30: Conference Photograph | Lecture Theatre 1

12:30-13:30: Lunch Break | Lounge

13:15-14:45: Keynote Presentation | Lecture Theatre 1
Tadasu Iida, Osaka University, Japan

13:45-14:05: Keynote Presentation | Lecture Theatre 1
Paul Higgs, University College London, United Kingdom

14:05-14:25: Keynote Presentation | Lecture Theatre 1
James Barlow, Imperial College London, United Kingdom

14:25-14:45: Keynote Presentation | Lecture Theatre 1
Nick Tyler, University College London, United Kingdom

14:45-15:15: Keynote Panel | Lecture Theatre 1
Paul Higgs, University College London, United Kingdom
James Barlow, Imperial College London, United Kingdom
Nick Tyler, University College London, United Kingdom

14:30-15:00: Coffee Break | Lounge

15:30-17:00: Parallel Session I

17:00-18:00: Conference Welcome Reception | Lounge

19:15-21:30: Official Conference Dinner (optional extra)

09:30-10:00: Conference Registration & Morning Coffee | Lounge

10:00-10:30: Featured Presentation | Lecture Theatre 1
James W. McNally, University of Michigan, United States

10:30-12:00: Parallel Session I

12:00-13:00: Lunch Break | Lounge

13:00-14:00: Workshop Session

14:00-14:15: Coffee Break | Lounge

14:15-15:45: Parallel Session II

15:55-16:45: Closing Panel Session
Dimitrios Buhalis, Bournemouth University, United Kingdom
Maggie Ellis, European Knowledge Tree Group for eHealth
Ian Spero, Founder Agile Ageing Alliance, United Kingdom

The draft version of the Conference Programme will be available online on November 11, 2019. All registered delegates will be notified of this publication by email.

The above schedule may be subject to change.


Featured Presentations

  • Imperceptible Brain Monitoring System –Patch EEG–
    Imperceptible Brain Monitoring System –Patch EEG–
    Keynote Presentation: Tsuyoshi Sekitani

Draft Programme

The Conference Programme contains access information, session information and a detailed day-to-day presentation schedule. All registered delegates who attend The European Conference on Aging & Gerontology receive a printed copy of the Conference Programme at the Registration Desk on arrival.

The final draft of the conference presentation schedule is now available. Please check that all information pertaining to you is correct and notify us at egen@iafor.org if there is any error. Please notify us of any corrections by Sunday, November 17.

After minor changes have been made to the schedule we will send you a link to the final schedule.
The final schedule will contain session information and a detailed day-to-day presentation schedule (including room allocations and session chairs).

This will be available on Wednesday, November 27.


Imperceptible Brain Monitoring System –Patch EEG–
Keynote Presentation: Tsuyoshi Sekitani

I will introduce the research and development of ultra-flexible, -thin, and imperceptible brain activity monitoring systems. Concretely, we developed new type brain activity monitoring system, naming “Patch-EEG”. Patch-EEG (Electroencephalogram) is a sheet-type brain-wave sensor system that can monitor brain waves simply by attaching the sensor to the forehead.

The weight of the system is 20g and the thickness is less than 5mm, including 8ch-soft electrodes, CPU, wireless module, and battery.

The patch EEG has a measurement accuracy comparable to that of large medical equipment. It has been used in not only medical applications but also applications such as the development of products using brain waves, measurement of the quality of sleep, monitoring of brain waves during sport activities, and easy monitoring of brain activities at home as Self-care devices.

In addition, I will address some recent progresses on ultra-thin bio-signal monitoring systems and outline the leading edge of bio-signal monitoring using these systems and their future prospects.

Read presenters' biography