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DTSTART:20380119T091407
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DTSTAMP:20260227T101208Z
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DTSTART;TZID=Asia/Dhaka:20251228T110000
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DESCRIPTION:IEEE Signal Processing Society organized an exclusive technical
  session titled “Webinar on Biomedical Signal Processing & Signal Proces
 sors” on 28 December 2025\, in collaboration with the IEEE CUET Student 
 Branch and IEEE WIE CUET Student Branch Affinity Group. The webinar aimed 
 to explore the powerful intersection of signal processing\, medicine\, and
  engineering\, highlighting how advanced technologies are transforming mod
 ern healthcare systems.\n\nThe session covered a broad spectrum of topics\
 , including biomedical signal acquisition and analysis (ECG\, EEG\, EMG)\,
  noise and artifact removal\, signal filtering and preprocessing technique
 s\, reconfigurable computation architectures\, FPGA-based signal processin
 g systems\, unified biosignal platforms for eHealth\, and emerging researc
 h directions beyond traditional ECG-based diagnostics. Discussions also ad
 dressed innovative developments such as artificial organs and neural prost
 heses\, along with the associated challenges and future prospects. Through
  real-world examples and research insights\, the speaker demonstrated how 
 theoretical signal processing concepts are translated into practical biome
 dical solutions. The webinar was open to students\, researchers\, and prof
 essionals interested in biomedical applications of signal processing\, pro
 viding valuable exposure to current research trends and technological adva
 ncements.\n\nThe event concluded with active audience participation and an
  engaging question-and-answer session. Overall\, the webinar successfully 
 achieved its academic objectives\, enhancing participants’ understanding
  of biomedical signal processing and inspiring further interest in healthc
 are innovation.\n\nSpeaker(s): Dr. Mehdi Hasan Chowdhury\n\nVirtual: https
 ://events.vtools.ieee.org/m/526304
LOCATION:Virtual: https://events.vtools.ieee.org/m/526304
ORGANIZER:ieeecuetsbofficial@cuet.ac.bd
SEQUENCE:32
SUMMARY:Webiner on Biomedical Signal Processing & Signal Processors
URL;VALUE=URI:https://events.vtools.ieee.org/m/526304
X-ALT-DESC:Description: <br /><p data-start="133" data-end="589">IEEE Signa
 l Processing Society organized an exclusive technical session titled <stro
 ng data-start="216" data-end="281">&ldquo\;Webinar on Biomedical Signal Pr
 ocessing &amp\; Signal Processors&rdquo\;</strong> on 28 December 2025\, i
 n collaboration with the IEEE CUET Student Branch and IEEE WIE CUET Studen
 t Branch Affinity Group. The webinar aimed to explore the powerful interse
 ction of signal processing\, medicine\, and engineering\, highlighting how
  advanced technologies are transforming modern healthcare systems.</p>\n<p
  data-start="591" data-end="1138">The session covered a broad spectrum of 
 topics\, including biomedical signal acquisition and analysis (ECG\, EEG\,
  EMG)\, noise and artifact removal\, signal filtering and preprocessing te
 chniques\, reconfigurable computation architectures\, FPGA-based signal pr
 ocessing systems\, unified biosignal platforms for eHealth\, and emerging 
 research directions beyond traditional ECG-based diagnostics. Discussions 
 also addressed innovative developments such as artificial organs and neura
 l prostheses\, along with the associated challenges and future prospects.&
 nbsp\;Through real-world examples and research insights\, the speaker demo
 nstrated how theoretical signal processing concepts are translated into pr
 actical biomedical solutions. The webinar was open to students\, researche
 rs\, and professionals interested in biomedical applications of signal pro
 cessing\, providing valuable exposure to current research trends and techn
 ological advancements.</p>\n<p data-start="1524" data-end="1818">The event
  concluded with active audience participation and an engaging question-and
 -answer session. Overall\, the webinar successfully achieved its academic 
 objectives\, enhancing participants&rsquo\; understanding of biomedical si
 gnal processing and inspiring further interest in healthcare innovation.</
 p>
END:VEVENT
END:VCALENDAR