From watching a heart valve in operation to meeting your baby before she’s born, ultrasound is one of the most valuable and least invasive imaging tools of modern medicine. You pay for the value, of course, with ultrasound machines that cost upwards of $100k, and this can put them out of reach in many developing countries. Sounds like a problem for hackers to solve, and to help that happen, this 2016 Hackaday prize entry aims to create a development kit to enable low-cost medical ultrasounds.
Developed as an off-shoot from the open-source echOpen project, [kelu124]’s Murgen project aims to enable hackers to create an ultrasound stethoscope in the $500 price range. A look at the test bench reveals that not much specialized equipment is needed. Other than the Murgen development board itself, everything on the test bench is standard issue stuff. Even the test target, an ultrasound image of which leads off this article, is pretty common stuff – a condom filled with tapioca and agar. The Murgen board itself is a cape for a BeagleBone Black, and full schematics and code are available.
We’ll be paying close attention to what comes out of the ultrasound dev kit. Perhaps something as cool as this augmented reality ultrasound scope?
A Spanish hospital recently replaced a significant amount of a man’s rib cage and sternum with a titanium replacement. Putting titanium inside people’s chests is nothing new, but what made this different was the implant was 3D printed to match his existing bone structure.
An Australian company, Anatomics, created the 3D print from high-resolution CT scans of the patient. They used a printer provided by an Australian Government corporate entity, CSIRO, that helps bring technology to Australian companies.
Biomedical printing has been in the news quite a bit lately and we’ve covered CT scan to 3D model conversions more than once. Is this the dawn of the age of the cyborg? Maybe it’s really mid morning. Many people walk around with pacemakers, Vagus nerve stimulators, and plenty of more conventional titanium hardware in them now.
While the ethics of replacing a cancer patient’s rib cage is pretty clear, the real issue will be when people want enhancements just for the sake of it (think of the controversy surrounding runners with prosthetic legs, for example). It might seem far-fetched, but as replacements become better than originals, some people will want to opt for replacements for perfectly good body parts.
Continue reading “Hack Your Rib Cage with Titanium 3D Printing”
Web sites have figured out that “gamifying” things increases participation. For example, you’ve probably boosted your postings on a forum just to get a senior contributor badge (that isn’t even really a badge, but a picture of one). Now [Yash Soni] has brought the same idea to physical therapy.
[Yash]’s father had to go through boring physical therapy to treat a slipped disk, and it prompted him into developing KinectoTherapy which aims to make therapy more like a video game. They claim it can be used to help many types of patients ranging from stroke victims to those with cerebral palsy.
Patients can see their onscreen avatar duplicate their motions and can provide audio and visual feedback when the player makes a move correctly or incorrectly. Statistical data is also available to the patient’s health care professionals.
Continue reading “Virtual Physical Rehab with Kinect”
[Michael Balzer] shows us that you are your own best advocate when it comes to medical care – having the ability to print models of your own tumors is a bonus. [Michael’s] wife, Pamela, had been recovering from a thyroidectomy when she started getting headaches. She sought a second opinion after the first radiologist dismissed the MRI scans of her head – and learned she had a 3 cm tumor, a meningioma, behind her left eye. [Michael], host of All Things 3D, asked for the DICOM files (standard medical image format) from her MRI. When Pamela went for a follow-up, it looked like the tumor had grown aggressively; this was a false alarm. When [Michael] compared the two sets of DICOM images in Photoshop, the second MRI did not truly show the tumor had grown. It had only looked that way because the radiologist had taken the scan at a different angle! Needless to say, the couple was not pleased with this misdiagnosis.
However, the meningioma was still causing serious problems for Pamela. She was at risk of losing her sight, so she started researching the surgery required to remove the tumor. The most common surgery is a craniotomy: the skull is sawed open and the brain physically lifted in order to access the tumor below it. Not surprisingly, this carries a high risk of permanent damage to any nerves leading to loss of smell, taste, or sight if the brain is moved the wrong way. Pamela decided to look for an alternative surgery that was less invasive. [Michael] created a 3D print of her skull and meningioma from her MRIs. He used InVesalius, free software designed to convert the 2D DICOM files into 3D images. He then uploaded the 3D rendered skull to Sketchfab, sharing it with potential neurologists. Once a neurologist was found that was willing to consider an alternative surgery, [Michael] printed the skull and sent it to the doctor. The print was integral in planning out the novel procedure, in which a micro drill was inserted through the left eyelid to access the tumor. In the end, 95% of the tumor was removed with minimal scarring, and her eyesight was spared.
If you want to print your own MRI or CT scans, whether for medical use or to make a cool mug with your own mug, there are quite a few programs out there that can help. Besides the aforementioned InVesalius, there is DeVIDE, Seg3D, ImageVis3D, and MeshLab or MeshMixer.
There are many ways to detect a heartbeat electronically. One of the simpler ways is to take [Orlando’s] approach. He’s built a finger-mounted pulse detector using a few simple components and an Arduino.
This circuit uses a method known as photoplethysmography. As blood is pumped through your body, the volume of blood in your extremities increases and decreases with each heartbeat. This method uses a light source and a detector to determine changes in the amount of blood in your extremities. In this case, [Orlando] is using the finger.
[Orlando] built a finger cuff containing an infrared LED and a photodiode. These components reside on opposite sides of the finger. The IR LED shines light through the finger while the photodiode detects it on the other side. The photodiode detects changes in the amount of light as blood pumps in and out of the finger.
The sensor is hooked up to an op amp circuit in order to convert the varying current into a varying voltage. The signal is then filtered and amplified. An Arduino detects the voltage changes and transmits the information to a computer via serial. [Orlando] has written both a LabVIEW program as well as a Processing program to plot the data as a waveform. If you’d rather ditch the PC altogether, you might want to check out this standalone heartbeat sensor instead.
The idea of using nanobots to treat diseases has been around for years, though it has yet to be realized in any significant manner. Inspired by Purcell’s Scallop theorem, scientists from the Max Planck Institute for Intelligent Systems have created their own version . They designed a “micro-scallop” that could propel itself through non-Newtonian fluids, which is what most biological fluids happen to be.
The scientists decided on constructing a relatively simple robot, one with two rigid “shells” and a flexible connecting hinge. They 3D-printed a negative mold of the structure and filled it with a polydimethylsiloxane (PDMS) solution mixed with fluorescent powder to enable detection. Once cured, the nanobot measured 800 microns wide by 300 microns thick. It’s worth noting that it did not have a motor. Once the mold was complete, two neodymium magnets were glued onto the outside of each shell. When a gradient-free external magnetic field was applied, the magnets make the nanobot’s shells open and close. These reciprocal movements resulted in its net propulsion through non-Newtonian media. The scientists also tested it in glycerol, an example of a Newtonian fluid. Confirming Purcell’s Scallop theorem, the nanobot did not move through the glycerol. They took videos of the nanobot in motion using a stereoscope, a digital camera with a colored-glass filter, and an ultraviolet LED to make the fluorescent nanobot detectable.
The scientists did not indicate any further studies regarding this design. Instead, they hope it will aid future researchers in designing nanobots that can swim through blood vessels and body fluids. We don’t know how many years it will be before this becomes mainstream medical science, but we know this much: we will never look at scallops the same way again!
Continue reading “Nanobots Swim like Scallops in Non-Newtonian Fluids”
[Eric] tipped us about the OpenHarwareExG project which goal is to build a device that allows the creation of electrophysiological signal processing applications. By the latter they mean electrocardiography (ECG, activity of the heart), electroencephalography (EEG, signals on the scalp), electromyography (EMG, skeletal muscles activity), electronystagmography and electrooculography (ENG & EOG, eye movements) monitoring projects. As you can guess these signals are particularly hard to measure due to their small amplitude and therefore susceptibility to electrical noise.
The ADS1299 8-channel 24-bit analog front end used in this platform is actually electrically isolated from the rest of the circuit so the USB connection wouldn’t perturb measurements. An Arduino-compatible ATSAM3X microcontroller is used and all the board is “DIY compatible” as all parts can be sourced in small quantities and soldered by hand. Even the case is open source, being laser cut from acrylic.
Head to the project’s website to download all the source files and see a quick video of the system in action.
Interested in measuring the body’s potential? Check out an ECG that’s nice enough to let you know you have died, or this Android based wireless setup.