Neural implants, when embedded in the brain, can alleviate the debilitating symptoms of Parkinson’s disease or give paraplegic people the ability to move their prosthetic limbs. However, they need to be connected by wires to an external device outside the body. For a prosthetic patient, the neural implant is connected to a computer that decodes the brain signals so the artificial limb can move.
These external wires are not only cumbersome but the permanent openings which allow the wires into the brain increases the risk of infections. The new chip by NTU scientists can allow the transmission of brain data wirelessly and with high accuracy.
Assistant Professor Arindam Basu from NTU’s School of Electrical and Electronic Engineering said the research team have tested the chip on data recorded from animal models, which showed that it could decode the brain’s signal to the hand and fingers with 95 per cent accuracy. "What we have developed is a very versatile smart chip that can process data, analyze patterns and spot the difference," explained Basu.
"It is about a hundred times more efficient than current processing chips on the market. It will lead to more compact medical wearable devices, such as portable ECG monitoring devices and neural implants, since we no longer need large batteries to power them."
To achieve high accuracy in decoding brain signals, implants require thousands of channels of raw data. To wirelessly transmit this large amount of data, more power is also needed which means either bigger batteries or more frequent recharging.
This is not feasible as there is limited space in the brain for implants while frequent recharging means the implants cannot be used for long-term recording of signals. Current wireless implant prototypes thus suffer from a lack of accuracy as they lack the bandwidth to send out thousands of channels of raw data.
Instead of enlarging the power source to support the transmission of raw data, Basu tried to reduce the amount of data that needs to be transmitted.
Designed to be extremely power-efficient, NTU’s patented smart chip will analyze and decode the thousands of signals from the neural implants in the brain, before compressing the results and sending it wirelessly to a small external receiver.
This invention and its findings were published last month in the journal IEEE Transactions on Biomedical Circuits & Systems by the Institute of Electrical and Electronics Engineers, the world’s largest professional association for the advancement of technology.
This new smart chip is designed to analyze data patterns and spot any abnormal or unusual patterns.
For example, in a remote video camera, the chip can be programmed to send a video back to the servers only when a specific type of car or something out of the ordinary is detected, such as an intruder.
This would be extremely beneficial for the Internet of Things (IOT), where every electrical and electronic device is connected to the Internet through a smart chip.
With a report by marketing research firm Gartner Inc predicting that 6.4 billion smart devices and appliances will be connected to the Internet by 2016, and will rise to 20.8 billion devices by 2020, reducing network traffic will be a priority for most companies.
Using NTU’s new chip, the devices can process and analyze the data on site, before sending back important details in a compressed package, instead of sending the whole data stream. This will reduce data usage by over a thousand times.
Basu is now in talks with Singapore Technologies Electronics Limited to adapt his smart chip that can significantly reduce power consumption and the amount of data transmitted by battery-operated remote sensors, such as video cameras.The team is also looking to expand the applications of the chip into commercial products, such as to customize it for smart home sensor networks, in collaboration with a local electronics company.
COMPAMED-tradefair.com; Source: Nanyang Technological University