Training the scientists of tomorrow
Every year we run our PhD studentship scheme to encourage the best students in the UK to become involved in hearing, deafness and tinnitus research. By training the next generation of scientists, we hope to increase the number of researchers working on treatments for hearing loss and tinnitus in the UK. Our PhD scheme enables us to attract high calibre students into hearing research and ensure that they are trained in world-class laboratories. After completing their PhD, we hope that our students will go on to become leaders in their field and continue to make a valuable contribution through research towards improving the lives of people with hearing loss or tinnitus.
Here are some of the projects that our new students will be working on:
Improving cochlear implant surgery through robotics
A cochlear implant is an auditory prosthetic, sometimes referred to as a ‘bionic ear’. Cochlear implants allow profoundly deaf people to hear when they can no longer benefit from hearing aids. They work by converting sound vibrations into electrical signals. An electrode array is surgically implanted into the cochlea. The array transmits these electrical signals to the hearing nerve, which passes them on to the brain to be heard as sounds.
However, during surgery, when the electrode array is inserted into the cochlea, it can cause damage to the surrounding tissue. This damage to the cochlea often means that any remaining natural hearing that the person has is either partially or completely lost. Keeping this residual hearing can help people to hear better when they have a cochlear implant, and so minimising trauma during surgery is crucial. In addition, how precisely and fully the electrode array is placed within the cochlea influences how well someone is able to hear with their cochlear implant. Increased precision and more complete insertion within the cochlea could therefore provide better hearing outcomes for someone with a cochlear implant.
In this project, the student, Nauman Hafeez, working in Dr Xinli Du’s lab at Brunel University, will develop novel micro-technology to help improve surgical precision during cochlear implantation. He will look at whether hand-held robotic technology could enable a cochlear implant electrode array to be inserted automatically into the cochlea, with increased precision and minimal trauma compared to a human surgeon. Nauman will investigate how changes in the electrical properties of the implant, caused by interactions with the cochlea during implantation, can be used to ‘sense’ and control insertion of the electrode array in a way that avoids damage. He will also investigate technology that ‘pulls’ rather than ‘pushes’ the implant into the cochlea. His goal is to combine these technologies to automate the placement of cochlear implant arrays within the cochlea, in the hope that this will lead to technology that increases precision and reduces the amount of damage caused to the cochlea when a cochlear implant is fitted. This could help to increase cochlear implant performance, preserve the person’s residual hearing, improve their hearing ability, and lead to more predictable outcomes for patients. This could ultimately lead to current NHS eligibility criteria being relaxed, improving access to this life-changing technology.
Better testing of hearing aids
The NHS currently spends around £60 million a year on providing hearing aids for people with hearing loss. Unfortunately, there is no easy way to test or predict which hearing aids will work best for the people using them, so there is no way to ensure that they are providing the best hearing aids possible.
The methods that are currently used to test hearing aids are fairly basic, and they don’t provide a lot of information about the quality of sound or clarity of speech that someone will hear through them. They also don’t predict how well a hearing aid will work when someone is listening to conversations against a noisy background. In this project, the student, Robyn Hunt, working in Dr Steven Bell’s lab at the University of Southampton, will use algorithms developed by the telecoms industry, used to predict speech quality and speech intelligibility in mobile phones. She will test and develop these algorithms further, and combine them with other measures used in hearing research to find the best way to predict sound quality and speech intelligibility for people with hearing loss using hearing aids.
Robyn’s project will build on previous work at Southampton that looked to predict the quality of music from hearing aids. She will work with people with mild to moderate hearing loss to assess the quality of speech they hear when using different hearing aids, and how well the hearing aids help them to understand speech against a noisy background. She will also record outputs from the hearing aids themselves, and analyse various factors from these recordings, such as distortion, that can reduce sound quality. Robyn will then train a ‘neural network’ (a computer system that can learn patterns in data) to work out which combinations of these measurements best predict sound quality or speech intelligibility for people with hearing loss.
Developing quick and simple methods to measure these parameters could help the NHS to choose the best hearing devices for their patients in a cost-effective manner. These measures could also help to speed up the development of new hearing aid technology, by allowing manufacturers to optimise the design and features of hearing aids more quickly and to a higher standard than currently.
Our PhD studentship scheme is not only increasing the number of researchers dedicated to hearing research, but is also generating valuable research findings that move us closer to better treatments and cures for hearing loss and tinnitus.
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