Section: Overall Objectives

Overall Objectives

This Research-Team created in July 2007 is a follow-up of SOSSO2 Research-Team.

SISYPHE (SIgnals and Systems in PHysiology and Engineering) is studying questions raised by some complex dynamical systems issued from Physiology and Engineering: modeling; identification and observation from signals ; real-time health monitoring or control. We consider networked or multi-scale dynamical systems involving exchanges of energy or control information among scales and subsystems or quantum & quantum-like systems. Most studies are motivated by health monitoring of the cardiovascular and reproductive systems or of some critical engineering systems. In monitoring of hemodynamic or electrical networks, a natural quantization is leading to quantum-like systems. This leads us to consider more generally some prospective questions of system theory arising from the emerging domain of “quantum engineering”.

The research on the cardiovascular system is done, in part, in the framework of CardioSense3D (3D-electro-mechanical modeling of the heart and estimation of patient specific parameters for clinical applications), an Inria Large-Scale Initiative Action (LSIA). The research on the reproductive system is done in the framework of REGATE (REgulation of the GonAdoTropE axis), a new Inria LSIA coordinated by F. Clément.

Research topics leading to long-term projects and collaborations:

Signals & Systems:

• Dynamical systems modeled by ordinary differential equations: modeling, observation and control.

• Networks of dynamical systems: observation and control of synchrony and other coherent structures.

• Quantum & quantum-like systems: estimation and control.

• Multiscale dynamical systems: analysis of multiscale properties of signals and relations with the underlying dynamical systems.

Applications to Physiology & Engineering:

• Model-based observation and control of the cardiovascular system: (multiscale- ) model-based signal processing (ECG, pressure, heart-rate). Monitoring and control of cardiac prosthesis.

• Quantization of waves propagation in transmission-line networks & Inverse scattering. Application to health monitoring of cabled electrical networks and to the arterial pressure waveform analysis.

• Health monitoring and control of energy conversion systems: glycemic control in critically ill patients ; fuel-cell systems monitoring.

• Identification and control of some quantum systems. Towards “quantum engineering”.

• Multiscale modeling of the controlled follicle selection process & Control of the reproductive axis.