Poet, Ultimate Player/Reporter, Philosophy Dr. of fMRI, Researcher @UniOfYork, Fashion Icon, Christian, He/Him. Trying to bring chaotic good to the world.
York
Joined April 2009
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Harry Mason retweeted
ASAP - new tool to measure infant sustained attention from large real world data. Hundreds of hours of physiological signal recorded from freely moving infants become manageable. It opens exciting new opportunities to learn about infant development
nature.com/articles/s41598-0…
Had a fun time talking at a workshop, presenting a poster, attending teams, and chatting to a lot of folk at #icis2024!
Anyone interested in the paper I chatted about can find it here researchgate.net/publication…
Harry Mason retweeted
ICIS 2024 is almost here. YAY! Really excited to organize a pre-conference workshop. Great chance to chat with other researchers passionate about naturalistic approaches to understanding infant development. Join us on July 8th! The more the merrier!
emodevlab.com/icis-2024-prec…
Harry Mason retweeted
Huge congrats to @HarryTMason for the publication of his paper. Amazing work on finding solutions for processing real world big data for infancy research. Complete Pipeline for Heart Rate Extraction from Infant ECGs mdpi.com/2711978 #mdpisignals via @Signals_MDPI
I have another paper! Actually, I have a couple, but this is my main paper from the University of York. Many thanks to my co-workers for helping support me during this time. I’ve tried to write a simple explanation to allow everyone to understand.
mdpi.com/2624-6120/5/1/7
*Can you summarize the whole paper?*
Infant HR is very fast. ECG give us HR – but it's so fast that normal approaches don’t work as well. We adapt the best approach to improve HR. We then clean up the HR, and identify areas which we couldn’t accurately calculate.
That's it! Thank you to @geangu_elena, @APmar_cedillo, Mari Garcia-de-Soria, Marina Knight, Quoc Vuong and Stephen Smith for their help, and thank you for reading!
*You’ve got a heart rate signal, what now?*
We improve the signal. Your HR is fairly consistent – it doesn’t rise or fall that much from beat to beat. If it halves/doubles, you’ve likely missed/added a beat. We to try to correct these areas.
ALT A figure showing how the heart rate changes as you miss beats (top row), add peaks (second row) or mislabel beats (bottom row). The ECG is shown with labelled (or mislabelled) peaks in the first column, with the corresponding heart rate in the second column. The black heart rate is derived from the black "x"s on the ECG The blue heart rate is derived from the black "+"s on the ECG The red heart rate is derived from the red circles on the ECG
*Why were you working on infant ECG?*
From working @YorkDSN looking at the development of young children. When you pay attention to something, HR drops and then stabilizes. Roughly, if an infant has that “drop-then-stabilize” HR shape, it indicates an ability to pay attention.
New pre-print out! It's been a very fun topic to delve into these last 2 years. Here's hoping any review comments are short but helpful :)
For anyone not aware, a pre-print is where you can put research you've submitted, but that hasn't yet been through peer review.
New pre-print from our ECG guru @HarryTMason . Well done Harry for developing such a useful tool for infancy research in the 'wild'! 🏋️♀️🏋️♀️
Bring on more infant ECG :) ❤️❤️
A Complete Pipeline for Heart Rate Extraction from Infant ECG @Preprints_org preprints.org/manuscript/202…
My second paper, and my first big collaborative one - 18 authors, and I'm joint third! Many thanks to all.
The 1st paper of the project, it outlines the lightweight ECG and head camera we made for longform home recording of infants. Stay tuned to find out how we used the data!
Super delighted that our paper was recently published.
🧐🤩🤩
Huge thanks to all families who participated in our project during the last two years and made it happen.
mdpi.com/2482500
#baby #scientist #research #emodevlab #Yorkshire #uniofyork #science #york
