One promise of modern microelectronics is the possibility of embedding sensors in various parts of the human body and using them to monitor everything from blood glucose levels to brain waves. They could even help treat conditions such as epilepsy, Parkinson’s disease, and other medical conditions.
To carry out this work, these devices need to communicate with the outside world, and that is a power-consuming business. It can be done with bespoke RFID equipment, but this is large, unwieldy, and power-hungry. A better way would be to link with more portable and ubiquitous devices such as smartphones, watches, or tablets.
But there is a problem. Although Bluetooth and Wi-Fi are relatively low-power forms of communication, they are way beyond the power budget of, say, a smart contact lens. Consequently there is no way to connect an embedded device via Bluetooth or Wi-Fi and so no way to communicate with them easily on the fly.
That looks set to change thanks to the work of Joshua Smith and pals at the University of Washington in Seattle. These guys have developed a clever way for embedded devices to harvest Bluetooth radio signals and use them to broadcast Wi-Fi transmissions. The team has even built a number of Wi-Fi-enabled prototypes to show off the technique.
At first glance, it’s easy to think that converting Bluetooth signals to Wi-Fi is impossible. These systems work at different frequencies and use entirely different transmission protocols.
Wi-Fi requires a 22 MHz bandwidth and uses spread spectrum coding whereas Bluetooth requires up to 2 MHz bandwidth and relies on Gaussian Frequency Shift Keying, in which a one is represented by a positive frequency shift of 250 kHz and a zero as a negative shift of 250 kHz. These systems are entirely different.
But Smith and co have come up with a clever trick that allows them to convert Bluetooth signals to Wi-Fi. This relies on making a Bluetooth transmitter broadcast a continuous sequence of either ones or zeros to produces a continuous tone of white noise.
It is this noise that that embedded device picks up, modifies and rebroadcasts as Wi-Fi by a process called backscattering. This produces a signal that is shifted in frequency to one of the Wi-Fi channels and then modulated in line with the 802.11b Wi-Fi transmission protocol.
In tests, this process has turned out to be extremely energy efficient. “In total, generating 2 Mbps 802.11b packets consumes 28 µW,” say Smith and co.
Of course, any electrical engineer will tell you that this process also produces a mirror image signal on the other side of the Bluetooth frequency, which is at best wasted and at worst can interfere with other signals.
Smith and pals have another clever trick to get around this. This involves choosing antenna materials that have a complex impedance. This leads to a mirror signal with a negative frequency, which cannot happen in practice. The result is the first example of single sideband backscattering.
All this allows the embedded device to communicate with the outside world via backscattered signals.
However, for bidirectional communication, the device also has to receive signals. The team do this by finding a way to make 802.11g Wi-Fi signals look like standard AM modulated signals, which the embedded device can pick up at a bit rate of 160 kbps. That’s not fast but the team says this could be significantly improved in future devices.
Finally, these guys have put all these techniques together to build a variety of technology demonstrators. One is an antenna for a smart contact lens designed to monitor glucose levels in the wearer’s tears. The prototype consists of a 1 cm wire loop embedded in poly-dimethylsiloxane (PDMS) for biocompatibility.
The team tested this by successfully backscattering and modifying Bluetooth signals from a nearby transmitter to a Samsung Galaxy S4 smartphone that picks up Wi-Fi. “The plot shows that we can achieve ranges of more than 24 inches, demonstrating the feasibility of a smart contact lens that communicates directly with commodity radios,” say the team.
They also design an antenna for a neural recording device that can be embedded under the skull for monitoring brainwaves. To test this, they embed it in a pork chop and were again able to receive signals on their Samsung Galaxy S4 smartphone.
That’s interesting work that paves the way for a new generation of embedded devices that can communicate easily with common portable devices. “We build proof-of-concepts for previously infeasible applications including the first contact lens form factor antenna prototype and an implantable neural recording interface that communicates directly with commodity devices such as smartphones and watches, thus enabling the vision of Internet-connected implanted devices,” says Smith and co.
With further optimization, the team should be able to improve performance. And that will make possible a new generation of apps that allow people to interact with and process data from devices embedded in their bodies.
Ref: arxiv.org/abs/1607.04663: Inter-Technology Backscatter: Toward Internet Connectivity for Implanted Devices
The big new idea for making self-driving cars that can go anywhere
The mainstream approach to driverless cars is slow and difficult. These startups think going all-in on AI will get there faster.
Inside Charm Industrial’s big bet on corn stalks for carbon removal
The startup used plant matter and bio-oil to sequester thousands of tons of carbon. The question now is how reliable, scalable, and economical this approach will prove.
The dark secret behind those cute AI-generated animal images
Google Brain has revealed its own image-making AI, called Imagen. But don't expect to see anything that isn't wholesome.
The hype around DeepMind’s new AI model misses what’s actually cool about it
Some worry that the chatter about these tools is doing the whole field a disservice.
Get the latest updates from
MIT Technology Review
Discover special offers, top stories, upcoming events, and more.