CIPAM – Configurable Isolated Physiological Acquisition Module
One of Mennen Medical’s most innovative developments is the CIPAM, a cutting edge high-quality technology. A total low power solution of hemodynamic system as an OEM board that provides host devices with all physiological signals required for patient monitoring. The CIPAM technology has been awarded by Frost & Sullivan as the European Patient Monitoring Technology Leadership.
CARMEL PRO – Mennen Medical’s New Integrated Embedded Platform
Replace several boards by just ONE single board and develop your own system including full vital signs parameters at low cost!!
board , power units, wireless, audio amplier, SD card interface, touch screen interface, and battery charger, together with vital sign acquisition functionalities; allowing to drastically reduce costs, space and hardware while simplifying and accelerating the development process. This novel technology, with extremely low power consumption, supports your own development (GUI and application) with a dedicated driver to support all platform features (Linux, QNX6, WinCE, etc.) and provides real time waveforms and numeric values of all patient vital signs required for high quality patient monitoring.
CerebraLogik (aEEG) – Integrate Continuous Brain Monitoring features in your Patient Monitors
Mennen Medical is proud to bring you one of its novel cutting edge developments as an OEM or OBL solution: The CerebraLogik.
This sophisticated clinical tool to help physicians easily and speedily recognize abnormal brain activity, facilitating life-saving treatment.
Mennen Medical Arrhythmia Detection Algorithm (MADA)
A highly accurate cutting edge solution to integrate arrhythmia detection features to your devices
Once more, Mennen Medical makes available its leading and wide experience in the Patient Monitoring ECG field, now offering a powerful and highly accurate OEM solution for the incorporation of arrhythmia detection features to external devices and applications. Providing an efficient code for the signal processing and interpretation
of the ECG waveform.