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Scalpels and Stitches: When the Night Shift Faces the Living Dead<br/>The sterile hum of the hospital fades into a chilling silence as the night shift at Grey Sloan Memorial descends into chaos. A contagion unlike any other sweeps through the halls, twisting the line between life and death. Patients flatline, only to rise with an insatiable hunger and vacant eyes.Gone are the familiar beeps and whirring machines, replaced by the guttural moans of the reanimated.Scalpels become weapons, IV fluids become a desperate gamble, as doctors accustomed to fighting for life now fight for their own survival. Trapped within the very walls meant to heal, the once confident doctors are thrust into a terrifying reality where the boundaries between medicine and horror collide. Can they find a cure for this unnatural plague, or will the night shift become a permanent residence for the living dead?

Grey's Anatomy, Night Shift of the Living Dead

⏲ 3:10 👁 5K

This project focuses on analyzing the heart sound (auscultation) usually used by physicians to identify cases of abnormal heart condition. <br/><br/>The heart auscultation compared in this video focuses primarily on Patent ductus arteriosus (PDA) patients and compares them to a healthy person. <br/><br/>Spectrogram is a quantitative measure that representsthe spectrum of frequencies of a signal as it varies with time. The spectrogram of a PDA patient is compared to a healthy individual for quantitative preliminary diagnostic purposes, <br/><br/>#audioprocessing #digitalsignalprocessing #algorithm #matlab #engineeringprojects #signalprocessing

How quantitative measure of the heart sound can help us identify abnormal heart conditions?

⏲ 18:20 ✓ 13-May-2024

Sherlock Holmes in the 22nd Century Sherlock Holmes in the 22nd Century E009 – The Resident Patient from octagam patient handout

Sherlock Holmes in the 22nd Century Sherlock Holmes in the 22nd Century E009 – The Resident Patient

⏲ 19:24 ✓ 11-May-2024

A spectrogram is a visual representation of the spectrum of frequencies of a signal as it varies with time. <br/>Quantitative analysis of an auscultation signal can aid physicians to identify abnormal heart condition. <br/>This project aims at using the auscultation signal from a normal patient( with no heart conditions) and compares with a PDA (Patent Ductus Arteriosus) patient. <br/><br/>There is a difference in their respective spectrogram and can be used by physicians to accurately diagnose any heart condition. <br/><br/>#digitalsignalprocessing #signalprocessing #signals_systems #matlab #engineeringprojects #audioprocessing #spectrogram

Can we use spectrogram from auscultation audio to identify abnormal heart condition?

⏲ 4:40 ✓ 09-May-2024

Revolutionize the way we perceive spinal cord injuries with the latest breakthrough in medical science! Discover how scientists are restoring mobility to patients through continuous electrical stimulation directly to the spinal cord. Dive into the innovative approach of patterned stimulation, as showcased in a groundbreaking study published in Nature, led by neuroscientist Grégoire Courtine. Witness the remarkable results of patients regaining the ability to walk with minimal support, setting a new standard for precision in spinal cord stimulation. Explore the potential of this cutting-edge technology to transform neurological recovery post-spinal cord injuries. Join us on this journey of hope and innovation towards a future where mobility knows no bounds.

Revolutionizing Spinal Cord Injury Treatment

⏲ 3:8 ✓ 09-May-2024

In this webinar, 4 panelists will cover interoperability of data to boost efficiency in trade, and to speed traffic in light of key challenges in international trade. Starting with a deep dive into the evolving regulatory landscape, the webinar will spotlight eFTI with its objectives and its impact on supply chains and trade. Reflecting lessons from the Gateway²Britain pilot initiative we will elaborate on the establishment of a \

WEBINAR_ How Data, Interoperability & Distributed Governance Can Accelerate the Fastlane

⏲ 1:0:52 ✓ 08-May-2024

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