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Control of an Electromechanical 
Hydrocephalus Shunt - a New 
Approach 
Hydrocephalus is characterized by an excessive accumulation of cerebrospinal fluid (CSF). 
Therapeutically, an artificial pressure relief valve (so called shunt) is implanted which opens 
in case of increased intracranial pressure (ICP) and drains CSF into another body 
compartment. Today available shunts are of a mechanical nature and drainage depends on 
the pressure drop across the shunt. According to latest data, craniospinal compliance is 
considered to be even more important than mean ICP alone. In addition, ICP is not constant 
but varies due to several influences. In fact, heartbeat-related ICP waveform patterns 
depend on volume changes in the cranial vessels during a heartbeat and changes its shape 
as a function of craniospinal compliance. In this paper, we present an electromechanical 
shunt approach, which changes the CSF drainage as a function of the current ICP 
waveform. A series of 12 infusion tests in patients was analyzed and revealed a trend 
between compliance and specific features of the ICP waveform. For waveform analysis of 
patient data, an existing signal processing algorithm was improved (using a Moore 
machine) and was implemented on a low-power microcontroller within the 
electromechanical shunt. In a test rig, the ICP waveforms were replicated and the decisions 
of the ICP analysis algorithm were verified. The proposed control algorithm consists of a 
cascaded integral controller which determines the target ICP from the measured waveform, 
and a faster inner-loop integral controller that keeps ICP close to the target pressure. 
Feedforward control using measurement data of the patient’s position was implemented to 
compensate for changes in hydrostatic pressure during change in position. A model-based 
design procedure was used to lay out controller parameters in a simple model of the 
cerebrospinal system. Successful simulation results have been obtained with this new 
approach by keeping ICP within the target range for a healthy waveform.

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Control of Electromechanical Hydrocephalus Shunt Based on ICP Waveform Analysis

  • 1. Control of an Electromechanical Hydrocephalus Shunt - a New Approach Hydrocephalus is characterized by an excessive accumulation of cerebrospinal fluid (CSF). Therapeutically, an artificial pressure relief valve (so called shunt) is implanted which opens in case of increased intracranial pressure (ICP) and drains CSF into another body compartment. Today available shunts are of a mechanical nature and drainage depends on the pressure drop across the shunt. According to latest data, craniospinal compliance is considered to be even more important than mean ICP alone. In addition, ICP is not constant but varies due to several influences. In fact, heartbeat-related ICP waveform patterns depend on volume changes in the cranial vessels during a heartbeat and changes its shape as a function of craniospinal compliance. In this paper, we present an electromechanical shunt approach, which changes the CSF drainage as a function of the current ICP waveform. A series of 12 infusion tests in patients was analyzed and revealed a trend between compliance and specific features of the ICP waveform. For waveform analysis of patient data, an existing signal processing algorithm was improved (using a Moore machine) and was implemented on a low-power microcontroller within the electromechanical shunt. In a test rig, the ICP waveforms were replicated and the decisions of the ICP analysis algorithm were verified. The proposed control algorithm consists of a cascaded integral controller which determines the target ICP from the measured waveform, and a faster inner-loop integral controller that keeps ICP close to the target pressure. Feedforward control using measurement data of the patient’s position was implemented to compensate for changes in hydrostatic pressure during change in position. A model-based design procedure was used to lay out controller parameters in a simple model of the cerebrospinal system. Successful simulation results have been obtained with this new approach by keeping ICP within the target range for a healthy waveform.