BEGIN:VCALENDAR
VERSION:2.0
PRODID:IEEE vTools.Events//EN
CALSCALE:GREGORIAN
BEGIN:VTIMEZONE
TZID:America/Los_Angeles
BEGIN:DAYLIGHT
DTSTART:20190310T030000
TZOFFSETFROM:-0800
TZOFFSETTO:-0700
RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3
TZNAME:PDT
END:DAYLIGHT
BEGIN:STANDARD
DTSTART:20191103T010000
TZOFFSETFROM:-0700
TZOFFSETTO:-0800
RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11
TZNAME:PST
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTAMP:20190506T171552Z
UID:D7845D69-403B-4926-BA81-5451CCC8CA54
DTSTART;TZID=America/Los_Angeles:20190502T110000
DTEND;TZID=America/Los_Angeles:20190502T123000
DESCRIPTION:Wearable devices hold considerable promise to diagnose\, monito
 r\, and treat various medical conditions and/or track the real-time status
  of athletes. However\, most current generation wearable devices only moni
 tor a limited number of physical and electrophysiological parameters that 
 are\, in many cases\, only peripherally related to many health conditions 
 or fitness enterprises. Furthermore\, many such wearable devices are large
 \, bulky\, and rigid\, thereby precluding seamless integration into daily 
 life.\n\nAddressing these issues requires: 1) development of new sensor te
 chnologies that provide more actionable data in thin\, flexible form facto
 rs\; 2) engineering of supporting electronic infrastructure to condition\,
  digitize\, and wirelessly communicate data in an extremely energy efficie
 nt manner\; and 3) new data analytics to process and understand newly gene
 rated data streams. This presentation will discuss emerging sensor technol
 ogies that can non-invasively monitor physiochemistry (e.g.\, glucose\, bl
 ood alcohol concentration\, and lactate) in thin\, flexible\, and energy-e
 fficiency wearable devices\, alongside a brief look at what kind of analyt
 ics are necessary to parse and understand this data. We will also cover in
 tegrated circuit building blocks and architectures that make acquisition a
 nd telemetry of sensed information so energy-efficient that that they can 
 be easily powered from new local energy sources (e.g.\, wearable glucose b
 iofuel cells). Such net-zero-power operation will ultimately enable device
 s that are completely autonomous and invisible to the user\, to the point 
 where users are virtually unaware of their wearable devices after placemen
 t – in other words\, they are “unawearable” devices.\n\nAgenda: \n11
 :00-11:10 Sign-in and networking\n\n11:10-12:30 Seminar (with Q&amp;A after se
 minar)\n\nNon-Qualcomm Employees:\n\nIf you plan to attend\, please send a
 n email to albertchou@ieee.org and indicate your Name\, Affiliation\, Emai
 l\, and Country of Citizenship by Tuesday\, April 30. This will help exped
 ite getting your visitor badge. Please come 10-15 minutes earlier to find 
 parking. Proceed to the front lobby of Building Q to sign in as a visitor.
 \n\n Qualcomm Q Auditorium 6455 Lusk Blvd\, San Diego\, CA 92121\, San Die
 go\, California\, United States
LOCATION: Qualcomm Q Auditorium 6455 Lusk Blvd\, San Diego\, CA 92121\, San
  Diego\, California\, United States
ORGANIZER:alvin.loke@alumni.stanford.edu
SEQUENCE:4
SUMMARY:IEEE Solid-State Circuits Society Distinguished Lecturer Seminar: U
 ltra-Low-Power Integrated Circuits and Physiochemical Sensors for Next-Gen
 eration “Unawearables”
URL;VALUE=URI:https://events.vtools.ieee.org/m/198061
X-ALT-DESC:Description: &lt;br /&gt;&lt;p class=&quot;yiv5201488597MsoNormal&quot;&gt;&lt;span style
 =&quot;font-family: arial\, helvetica\, sans-serif\;&quot;&gt;Wearable devices hold con
 siderable promise to diagnose\, monitor\, and treat various medical condit
 ions and/or track the real-time status of athletes. However\, most current
  generation wearable devices only monitor a limited number of physical and
  electrophysiological parameters that are\, in many cases\, only periphera
 lly related to many health conditions or fitness enterprises. Furthermore\
 , many such wearable devices are large\, bulky\, and rigid\, thereby precl
 uding seamless integration into daily life.&amp;nbsp\;&lt;/span&gt;&lt;/p&gt;\n&lt;p class=&quot;y
 iv5201488597MsoNormal&quot;&gt;&lt;span style=&quot;font-family: arial\, helvetica\, sans-
 serif\;&quot;&gt;Addressing these issues requires:&amp;nbsp\; 1) development of new se
 nsor technologies that provide more actionable data in thin\, flexible for
 m factors\; 2) engineering of supporting electronic infrastructure to cond
 ition\, digitize\, and wirelessly communicate data in an extremely energy 
 efficient manner\; and 3) new data analytics to process and understand new
 ly generated data streams. This presentation will discuss emerging sensor 
 technologies that can non-invasively monitor physiochemistry (e.g.\, gluco
 se\, blood alcohol concentration\, and lactate) in thin\, flexible\, and e
 nergy-efficiency wearable devices\, alongside a brief look at what kind of
  analytics are necessary to parse and understand this data. We will also c
 over integrated circuit building blocks and architectures that make acquis
 ition and telemetry of sensed information so energy-efficient that that th
 ey can be easily powered from new local energy sources (e.g.\, wearable gl
 ucose biofuel cells). Such net-zero-power operation will ultimately enable
  devices that are completely autonomous and invisible to the user\, to the
  point where users are virtually unaware of their wearable devices after p
 lacement &amp;ndash\; in other words\, they are &amp;ldquo\;unawearable&amp;rdquo\; de
 vices.&amp;nbsp\;&lt;/span&gt;&lt;/p&gt;&lt;br /&gt;&lt;br /&gt;Agenda: &lt;br /&gt;&lt;p class=&quot;yiv5201488597g
 mail-m_-3777721752668614274m_1968291032528777888gmail-m_-75422221580634933
 11gmail-yiv5325134984msonormal&quot;&gt;11:00-11:10 &amp;nbsp\; &amp;nbsp\; &amp;nbsp\; &amp;nbsp\
 ; Sign-in and networking&lt;/p&gt;\n&lt;p class=&quot;yiv5201488597gmail-m_-377772175266
 8614274m_1968291032528777888gmail-m_-7542222158063493311gmail-yiv532513498
 4msonormal&quot;&gt;11:10-12:30 &amp;nbsp\; &amp;nbsp\; &amp;nbsp\; &amp;nbsp\; Seminar (with Q&amp;am
 p\;A after seminar)&lt;/p&gt;\n&lt;p class=&quot;yiv5201488597gmail-m_-37777217526686142
 74m_1968291032528777888gmail-m_-7542222158063493311gmail-yiv5325134984mson
 ormal&quot;&gt;&lt;strong&gt;Non-Qualcomm Employees:&lt;/strong&gt;&lt;/p&gt;\n&lt;p class=&quot;yiv52014885
 97gmail-m_-3777721752668614274m_1968291032528777888gmail-m_-75422221580634
 93311gmail-yiv5325134984msonormal&quot;&gt;If you plan to attend\, please send an 
 email to&amp;nbsp\;&amp;nbsp\;&lt;a href=&quot;mailto:albertchou@ieee.org&quot; target=&quot;_blank&quot;
  rel=&quot;noopener&quot;&gt;albertchou@ieee.org&lt;/a&gt;&lt;span style=&quot;color: #26282a\;&quot;&gt;&amp;nbs
 p\;and indicate your Name\, Affiliation\, Email\, and Country of Citizensh
 ip by Tuesday\, April 30.&amp;nbsp\; This will help expedite getting your visi
 tor badge.&amp;nbsp\;&amp;nbsp\;Please come 10-15 minutes earlier to find parking.
 &amp;nbsp\; Proceed to the front lobby of Building Q to sign in as a visitor.&amp;
 nbsp\;&amp;nbsp\;&lt;/span&gt;&lt;/p&gt;
END:VEVENT
END:VCALENDAR

