The device has successfully reduced blood pressure in rats by 40 per cent without any major side effects, and could offer hope for a significant proportion of patients worldwide who do not respond to existing medical treatment for the condition.
The device consists of 24 individual electrodes that are integrated into a micro-machined cuff.
It is designed to wrap around the vagal nerve, which extends from the brainstem to the thorax and abdomen, supplying and stimulating various major organs including the heart and major blood vessels.
Some baroreceptors are grouped together in concentrated areas in the aortic arch and report their information to the brainstem via fibres in the vagal nerve. These baroreceptors function to control short-term fluctuations in blood pressure.
The device has been designed to identify only those fibres that influence the blood pressure and avoid those that are responsible for heart rate, the power of heart beat, ventilation and other vital functions.
Researchers, from the University of Freiburg, Germany tested a prototype device on five male rats. The device was 2 cm long, with a 0.8 mm diameter, and delivered 40 pulses per second to the fibres of the baroreceptors in the vagal nerve.
No major side effects, such as a significant decrease in heart rate or breathing rate, occurred when the electrode sites closest to the baroreceptor fibres were chosen for stimulation.
"Our proof-of-concept interface has shown that it is possible to use the left vagal nerve to reduce blood pressure without any adverse side effects, which is important for a wide variety of potential treatments that could utilise nerve stimulation without actually penetrating the nerve," lead author of the research, Dr Dennis Plachta, said.
"Nevertheless, the long-term goal is to provide 'treatment-on-demand' for the patient, whereby the implantable device uses an intelligent circuit to record the activity of the patient, for instance when they are doing exercise, and adjust the blood pressure accordingly," said Plachta.
The study was published in the Institute of Physics (IOP) Publishing's Journal of Neural Engineering.
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