EEG Cortical Signal Measurement and Processing System for Automatic Artifact Removal, Evaluation, and Remote Monitoring of Cochlear Implants
نویسنده
چکیده
Personal Imagine being plunged perpetually into a silence where the ubiquity of sound is irrelevant. That is the world which many students in my high school experience. My inspiration for this project really came from the students in my high school's Deaf and Hard of Hearing (DHH) program. My school has a department which offers a high school education to DHH students across Orange County. The students in this program take many of the same classes as the other students, using an interpreter to understand the lectures. I befriended several DHH students, but one in particular stood out to me: a boy in Cross Country who was deaf but used a device called the cochlear implant to hear. During the team's annual trip to Yosemite each summer, he picked a song on a friend's MP3 player and played it. He then told the group that the song he chose was his favorite song. This moment inspired me, as it showed me that even deaf individuals could find enjoyment from music. As a pianist for 12 years, I felt an urge to help him and other DHH students fully experience the wonders of music. The following summer I decided to take action. After doing a little background research on the device that enabled my friend to hear, I discovered that the Hearing and Speech Lab in the University of California, Irvine was currently researching how to improve the cochlear implant. I contacted the professor, and he invited me to sit in during a lab meeting. After showing up and listening to several veterans in the field discuss topics I couldn't begin to comprehend, I mustered up the courage to ask to participate in research on cochlear implants in his lab. He agreed, and allowed me to work under a post-doc. So let me give a bit of background information on the cochlear implant. The cochlear implant bypasses the outer, middle, and inner ear by sending electrical stimulation directly up the auditory nerve to the temporal lobes of the brain. This electrical stimulation mimics the natural electrical signals produced by the hair cells in the cochlea, and the implant users are able to interpret this as sound. Because it completely bypasses the ear, this device enables otherwise deaf or critically hard of hearing individuals to hear. After I got a spot in the lab, the next step was to decide the topic …
منابع مشابه
EEG Artifact Removal System for Depression Using a Hybrid Denoising Approach
Introduction: Clinicians use several computer-aided diagnostic systems for depression to authorize their diagnosis. An electroencephalogram (EEG) may be used as an objective tool for early diagnosis of depression and controlling it from reaching a severe and permanent state. However, artifact contamination reduces the accuracy in EEG signal processing systems. Methods: This work proposes a no...
متن کاملP81: Detection of Epileptic Seizures Using EEG Signal Processing
Epilepsy is the most common brain diseases that cause many problems in the daily life of the patient. In most attempts to automatic detection, the attack used an EEG. In this paper, The complete data set consists of five sets recorded from normal and epileptic patients. Each set containing 100 single-channel EEG segments. Here we used first and last sets (A and E). Set A consisted of segments r...
متن کاملImplementing a Smart Method to Eliminate Artifacts of Vital Signals
Background: Electroencephalography (EEG) has vital and significant applications in different medical fields and is used for the primary evaluation of neurological disorders. Hence, having easy access to suitable and useful signal is very important. Artifacts are undesirable confusions which are generally originated from inevitable human activities such as heartbeat, blinking of eyes and facial ...
متن کاملA Time-Frequency approach for EEG signal segmentation
The record of human brain neural activities, namely electroencephalogram (EEG), is generally known as a non-stationary and nonlinear signal. In many applications, it is useful to divide the EEGs into segments within which the signals can be considered stationary. Combination of empirical mode decomposition (EMD) and Hilbert transform, called Hilbert-Huang transform (HHT), is a new and powerful ...
متن کاملRemoving ECG Artifact from the Surface EMG Signal Using Adaptive Subtraction Technique
Background: The electrocardiogram artifact is a major contamination in the electromyogram signals when electromyogram signal is recorded from upper trunk muscles and because of that the contaminated electromyogram is not useful.Objective: Removing electrocardiogram contamination from electromyogram signals.Methods: In this paper, the clean electromyogram signal, electrocardiogram artifact and e...
متن کامل