| Summary: | 碩士 === 國立清華大學 === 電機工程學系 === 105 === Because of the coming of aging society, the disease caused by neuron degeneration is more common than before. Because neuron degenerate, signal transmission between different neurons become abnormal. Patients will suffer from symptoms such as tremor, paresthesia and bradykinesia. The action potential signal is an indicator of neuronal activity. With detection and diagnosis of specific region neuronal activity in the same time, we can use stimulators to let the neuron cells normal.
In recent year, some research teams focus on the development of Brain Machine Interface (BMI) including some different functions. The front-end unit consisting of both recording unit and stimulator can receive signal from and stimulate energy to neuron of the patient. By recording neuron signal from recording unit, the Arithmetic Logic unit (ALU) of the BMI system can give a diagnosis immediately and apply to the treatment of motor habitation or spinal cord injury.
For immediate diagnosis and treatment, it should let the fronts end part implanted into the body of patient to prevent patient from infection. The device should operate at lower voltage to reduce power consumption. This work proposed in this thesis can receive the action potential signal of 0.01mV from neuron and use the algorithm to let spike signal transform to impulse waveform of 300mV with supply voltage of 1V. And this work can detect spike by single threshold voltage and can improve accuracy on spike detection to integrate to the BMI system beneficially.
This work has been designed and fabricated with the TSMC 0.18μm process. The measurement results are presented and discussed in this thesis.
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