Sensoriis develops innovative sensors and mobile data management systems to collect ECG and EEG signals from adult and embryonic zebrafish. This data is wirelessly uploaded and stored on the computing cloud where it is analyzed by machine learning and transfer learning.
With the ability to perform high throughput study on multiple fish, the system is advantageous for the screening and development of drug and natural products.
This project is being supported in part by an NIH SBIR Phase II grant.