Search Results for "hardware"

SeaBreeze is a device driver library that provides an interface to select Ocean Optics spectrometers. It is written in C/C++ and builds and runs on Windows (XP/7/8), MacOSX, and Linux (x86/x64/ARM).

NEW V3 version with RTC and buzzer (require V3+ ECG Logger Viewer application) The ECG Logger project is a Wearable Cardio Monitor for Long-Term (up to 24h) ECG Data Acquisition and Analysis (aka Holter) with an ECG live (real-time) mode. This project provides a very low-cost open-source "Hardware and Software" for a Cardiac Rhythmic Holter. The hardware has been made very simple and is based on an Arduino Nano micro-controller with boards for SD card mass-storage, instrumentation differential amplifier and RTC. It can help monitoring arrhythmia syndromes such as bradycardia, tachycardia, extra-systoles, pause or flutter. ...

The MRiLab project is moving to GitHub, the latest version can be obtained from https://leoliuf.github.io/MRiLab/ The MRiLab is a numerical MRI simulation package. It has been developed and optimized to simulate MR signal formation, k-space acquisition and MR image reconstruction. MRiLab provides several dedicated toolboxes to analyze RF pulse, design MR sequence, configure multiple transmitting and receiving coils, investigate magnetic field related properties and evaluate real-time...

This Ethernet sniffer was designed to work together with the medical device for EEG acquisition BrainNet36® (BNT36), from EMSA Equipamentos Médicos Ltda. BrainNet36® has 36 channels, A/D converters with 16 bit accuracy, conversion time of 10 µs and Ethernet communication interface. Being a device for clinical purposes, BrainNet36® does not export data online. This sniffer was developed to allow online processing by working in promiscuous mode and recording data in a plain text file.

...The classification along with waveform properties (width, etc.) can be saved to disk in simple text files. WaveSorter is written in C++, utilizes the GNU Scientific Library for all computation, and is highly parallelized; on modern hardware it can handle files containing several 100,000s of waveforms per channel with almost no noticeable loss in GUI fluidity and <1sec lags for files with >1,000,000 waveforms per channel. It can be run in batch mode. It supports a wide array of binary file formats as well as ASCII text.

The goal of the See&Touch project is to design/implement a special mouse for disabled people, which allows a person to fully control a computer by using just vision and one single body movement. This project develops hardware, firmware and software.

Porcupine2 is a small wearable sensory unit for logging motion data and doing low-level activity recognition. The project includes electronic schematics for the hardware, software for the microcontroller and client-side software for hardware-interaction.

Working hardware has been built and is in a late beta stage. Software is also available.

Our target is to make modules for blood glucose meters and to make them usable for other projects which are creating Diabetes related software.