Public projects 3

Robotic Hand Control Using EMG

Project tutorial by Dmitry Dziuba

  • 4,661 views
  • 11 comments
  • 47 respects

Heart Rate Monitor (Wearable and Wireless Using ECG)

Project tutorial by Dmitry Dziuba

  • 7,835 views
  • 8 comments
  • 29 respects

Heart Beat Indicator Using ECG

Project tutorial by Dmitry Dziuba

  • 4,442 views
  • 2 comments
  • 28 respects

Toolbox 1


The Intervalometerator

Project tutorial by greiginsydney

  • 2,501 views
  • 0 comments
  • 9 respects

Start Motorbike with NFC Hand Implant

Project showcase by bujna94

  • 3,113 views
  • 2 comments
  • 19 respects

Customizable Geiger Muller Counter

Project tutorial by juliandwillett

  • 2,368 views
  • 3 comments
  • 12 respects

  • Heart Rate Monitor (Wearable and Wireless Using ECG) 17 days ago

    Yes, unfortunately for this timeline it's not an option. But you can keep it in mind for later :)

  • Heart Rate Monitor (Wearable and Wireless Using ECG) 17 days ago

    You might have problems putting it all together as a wearable, that requires some trial and error (and if you have little experience, maybe you'll need quite a few tries). But no doubt you can assemble it, after all it's only 12 wires, even if you'll need 30 minutes for each, you still can complete it in 6 hours :) And code (a) definitely works, I wrote and tested it, and (b) I'll be checking comments and will help if something goes wrong.
    Also you can use this setup to get BPM on PC via serial monitor.
    Just keep in mind: if you will order uECG device now, you'll get it either in late September or early October, first batch will be sent in production in about 2 weeks and this process takes some time.

  • Robotic Hand Control Using EMG 17 days ago

    Thanks :) Not sure about the whole body now (if it works well, then later yes), but definitely we'll try more sensors on a hand to get better sensitivity.
    Breadboard is unnecessary here - really no wires should be splitted, so it's easier to just plug them into Arduino (or even directly solder them, as I did). But you are right about Arduino being not enough for better results: in the next iteration of the project, I will process data on PC, this way it's possible to extract much more information (on Arduino you can only get "average" muscle strength because it can't receive the whole data packet from uECG - on PC you can see "shape" of muscle activation pattern, and it's different depending on which finger/finger combination you use)

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