[HN Gopher] The Harvard-Emory ECG Database
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       The Harvard-Emory ECG Database
        
       Author : teleforce
       Score  : 34 points
       Date   : 2025-09-25 16:31 UTC (6 hours ago)
        
 (HTM) web link (bdsp.io)
 (TXT) w3m dump (bdsp.io)
        
       | iberator wrote:
       | I'm afraid this is gonna be weaponized for the creation of
       | neural-links by big corps.
       | 
       | Or SLEEP POLICE lol
        
         | davikr wrote:
         | It's not an EEG database.
        
       | z3ugma wrote:
       | Oh I haven't seen bdsp.io, this appears to be a direct clone of
       | the National Sleep Research Resource's hosted software at
       | https://sleepdata.org/
        
       | aliljet wrote:
       | I work deep in the weeds on startups using datasets like these
       | and I'm always curious about how people drive value from this raw
       | data. Who is designing things that use this data for anything
       | interesting in the United States? The whole system is designed
       | NOT TO PAY for these advancements. What value if any exists in
       | this data beyond academic research?
        
         | loughnane wrote:
         | A common model is for startups to use publicly available data
         | to build their first model/device. Those devices then collect
         | more application-specific data and use that to iterate design.
         | 
         | Not hard to see how piles of ecg data could be useful.
        
         | queuebert wrote:
         | One example: ICUs typically monitor a dozen or so of these
         | traces per nurses station, so having an automated system for
         | detecting codes would speed up response and avoid missed
         | cardiac events.
        
       | petercooper wrote:
       | Just as a geeky aside, I enjoyed learning about how to read ECG
       | traces! There are lots of interesting patterns and general
       | principles involved and I guess it could come in useful in a
       | pinch one day. There are quite a few doctors on social media who
       | share and explain traces and it's fun to figure them out first.
       | Or I'm just a morbidly curious nerd.. :-)
        
       | djoldman wrote:
       | The most obvious task is to predict a diagnosis given the ECG
       | history. Are there any studies out there?
        
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       (page generated 2025-09-25 23:01 UTC)