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#448 – An Interview with Jean Rintoul
Welcome Jean Rintoul of Mindseye Biomedical
- Spectra
- 0h 1m 1s
- Startups
- 0h 1m 8s
- Open source movements
- 0h 2m 32s
- “Is there a safe way to get into biomedical?”
- 0h 2m 57s
- Looking inside the body
- 0h 4m 29s
- 2/3rds of the world doesn’t have medical imaging
- 0h 5m 31s
- Greg Charvat
- 0h 6m 31s
- MEMS based ultrasound
- 0h 7m 8s
- Labs using current based techniques
- 0h 7m 20s
- Tests between 100hz and 80 khz
- 0h 7m 48s
- Inverse radon transform
- 0h 8m 0s
- Thinking of the body as a circuit
- 0h 8m 36s
- Cell membrane is like a capacitor
- 0h 8m 50s
- Impedance tomography
- 0h 10m 47s
- 10 uA of current
- 0h 11m 42s
- TDCS is mA
- 0h 12m 1s
- EEG also measures contact impedance
- 0h 12m 14s
- IEC60601-1
- 0h 12m 44s
- 2D vs 3D imaging
- 0h 16m 3s
- Technique has been used in labs
- 0h 17m 21s
- Diagnosing cervical cancer might be posible
- 0h 17m 56s
- Zilico
- 0h 18m 19s
- Open source hardware, makes no claim
- 0h 19m 10s
- Tumor detection
- 0h 20m 54s
- Gesture control for amputees
- 0h 21m 11s
- Biosensor wearable companies
- 0h 23m 14s
- Was wondering what other kind of information could get out of the body
- 0h 24m 0s
- Lir Scientific, bladder device
- 0h 24m 28s
- Device was prone to noise
- 0h 26m 58s
- Ended up being a diagnostic device
- 0h 27m 41s
- Denovo = new
- 0h 28m 44s
- Last Week Tonight (John Oliver) talking about implants
- 0h 30m 7s
- Transhumanism
- 0h 32m 50s
- Open source insulin project
- 0h 34m 9s
- Looking into the body is possible with Spectra
- 0h 35m 12s
- Block diagram
- 0h 40m 35s
- ADI parts
- 0h 40m 45s
- MCU with analog front end
- 0h 40m 52s
- 16 bit ADC
- 0h 41m 2s
- Flex PCB around the outside of the tank
- 0h 42m 23s
- Different patterns you can send through the electrodes
- 0h 45m 21s
- “Stim patterns”
- 0h 45m 38s
- Fast switching analog multiplexer (mux)
- 0h 48m 51s
- Other EIT systems have been around since the 90s
- 0h 49m 29s
- Has a DDS on it to make sine waves
- 0h 51m 59s
- Knowing what kind of stuff is in there
- 0h 58m 0s
- Using standard models for MRI data
- 0h 59m 5s
- Using average data over individualized data
- 1h 0m 3s
- Google doing machine learning on MRI data
- 1h 1m 14s
- Data comes out over UART or Bluetooth
- 1h 8m 44s
- Python and Electron app
- 1h 9m 51s
- Open EIT project
- 1h 15m 14s
- Bluetooth used to allow it to be battery powered / untethered
- 1h 16m 33s
- Money raised on Crowdsupply
- 1h 18m 6s
- Making a test jig
- 1h 18m 15s
- Ordered custom cables and flex pcbs
- 1h 18m 27s
- Keithley 6221
- 1h 21m 16s
- ADUCM350
- 1h 24m 2s
- Community response
- 1h 26m 28s
- 7 people are contributing
- 1h 26m 43s
- Lots of different applications
- 1h 27m 59s
- @jeantoul on Twitter
- 1h 29m 58s