A Low Budget DIY Vibrotactile Stimulator For Experimental CRS

Modern techniques of Coordinated Reset Stimulation (CRS), which is usually administered with invasive deep brain stimulation, can have a miraculous effect on those suffering from Parkinson’s disease. However, the CRS technique can also apparently be administered via so-called vibrotactile CRS (vCRS) which essentially means vibrating certain nerve endings corresponding to brain regions that have a large cortical representation.

An example is vibrating the tips of the fingers using special gloves. This is a medical technique and as such is governed by the FDA. With ongoing trials, patients all around the world will simply have to wait. [HackyDev] has been working with a group of people on developing an open source vCRS glove.

This neuromodulation technique seems so promising, that this upfront effort by hackers around the world is simply a joy to see. Patents be dammed; we can work around them. Interested parties can follow the (very long, tricky-to-follow) thread here.

The hardware [HackyDev] put together uses a nodeMCU as the controller, driving eight motor coils via MOSFETS. The finger-mounted actuators are constructed by ripping the electromagnet out of a relay and mounting it in a 3D printed frame, with a magnet suspended on a spring. This part is mounted on each finger. The nodeMCU presents a simple web form that enables the configuration of the pulse parameters.

A permanent magnet is housed in the spring’s top section

The way the gloves appear to work is due to the way the body perceives sensory input, with a massive bias towards the hands and mouth region, referred to as the cortical homunculus. Each finger has an individual haptic element, which is actuated in a specific sequence with a carefully formed pulse at approx. 250 Hz.

This appears to activate similar in-brain effects as traditional (and invasive) DBS therapy by effectively de-synchronizing certain over-synchronized brain pathways and alleviating the overactive ß-wave activity in the brain. And this calms the tremors as well as many other PD symptoms. It’s all very exciting stuff, and we’ll be following this story closely.

For more on the backstory check out the 2017 paper by Peter A. Tass, as well as this later one, and this one. We’ve seen some recent success with diagnosing or at least detecting PD, by smell as well as via audio, so the future might look a little brighter for quite a number of people.

App Detects Parkinsons Disease And COVID-19 Via Audio

One of the challenges of diagnosing diseases is identifying them early. At this stage, signs may be vague or confusing, or difficult to identify. Early diagnosis is often tied to the best possible treatment outcomes, so there’s plenty of incentives to improve methods in this way.

A new voice-based method of diagnosing disease could prove fruitful in this regard. It relies on machine learning techniques to detect when patients may be suffering from certain conditions.

Continue reading “App Detects Parkinsons Disease And COVID-19 Via Audio”

New Parkinson’s Test Smells Success

Parkinson’s disease affects millions of people all over the world. The degenerative condition causes characteristic tremors, trouble walking, and often comes with complications including dementia, depression, and anxiety.

One of the major challenges around Parkinson’s disease involves diagnosis. There’s no single, commonly-available test that can confirm or rule out the disease. It’s can cause particular frustration as the disease is most treatable in its early stages.

That may soon change, however. One woman identified that she seemingly had the ability to “smell” the disease in those affected, and is now working with scientists to develop a test for the condition.

Follow Your Nose

The human sense of smell, by and large, isn’t particularly impressive. It helps us enjoy the scent of fresh bread baking in an oven, or the aroma of freshly cut grass. However, as a tool for inspecting and learning about the world around us, it really comes up short.

Some of us, though, are more capable in the olfactory department than others. Joy Milne from Perth, Scotland, is one such person. She happened to detected a change in her partner’s characteristic smell, one day, and twelve years later, they were diagnosed with Parkinson’s disease.

The idea that someone could “smell” a difference with people with Parkinson’s disease is an easy one to test. When Milne eventually put the idea together that the different smell she noticed was perhaps related to her husbands condition, she quickly drew the interest of scientists. With the aid of her partner, a former doctor, she teamed up with researchers Dr. Tilo Kunath and Professor Perdita Barran to investigate further. Continue reading “New Parkinson’s Test Smells Success”

Printed Brain Implants Give New Meaning To Neuroplasticity

3D printing has opened up a world of possibilities in plastic, food, concrete, and other materials. Now, MIT engineers have found a way to add brain implants to the list. This technology has the potential to replace electrodes used for monitoring and implants that stimulate brain tissue in order to ease the effects of epilepsy, Parkinson’s disease, and severe depression.

Existing brain implants are rigid and abrade the grey matter, which creates scar tissue over time. This new material is soft and flexible, so it hugs the wrinkles and curves. It’s a conductive polymer that’s been thickened into a viscous, printable paste.

The team took a conductive liquid polymer (water plus nanofibers of a polystyrene sulfonate) and combined it with a solvent they made for a previous project to form a conductive, printable hydrogel.

In addition to printing out a sheet of micro blinky circuits, they tested out the material by printing a flexible electrode, which they implanted into a mouse. Amazingly, the electrode was able to detect the signal coming from a single neuron. They also printed arrays of electrodes topped with little wells for holding neurons so they can study the neurons’ signals using the electrode net underneath.

This particular medical printing hack is pretty far out of reach for most of us, but not all of them are. Fire up that printer and check out this NIH-approved face shield design.

Hackaday Prize Entry: Dementia-Friendly Music Player

The loss of memory is an extremely difficult situation, not just for those afflicted, but also for immediate family, close friends, and care givers. With no cure available for dementia, providing care is an extremely demanding task for everyone involved – both mentally and physically. Patients are unable to retain recent events and information, but will most likely be able to recall some amount of past memories. This presents serious challenges when they encounter “modern” technology and cannot figure out how to use and operate everyday devices that normal people take for granted.

[rosswesleyporter]’s Dad had trouble using modern iPods and CD players, so he built DQMusicBox — a Dementia friendly music player. It’s very simple interface resembling a radio from half a century ago. There are just two large, clearly marked rotary dials — one for Volume, the other for Songs, and a headphone socket. The inspiration came from a very moving documentary called “Alive Inside” which explores how music brings extreme joy to people with dementia.

The device is built around a Raspberry Pi, enclosed in a laser cut enclosure and requires no soldering — making it easy for anyone to build one for themselves using easily available parts. The Raspberry Pi runs on a lightweight, optimized version of Raspbian called DietPi. The music playback is handled by VLC ensuring support for a large number of music formats. A Python script looks for music files, sets up the VLC-NOX player and handles knob and button events. A bundled image file for the software includes everything needed to get it running, making setup easy and quick. Since Raspberry Pi’s are prone to OS corruption when power is disconnected without performing a proper shutdown, [Ross] uses write protection on the SD-card and walks you through the process of how it works.

Between his Project page, Github and DQMusicBox website, you will be able to get all the information needed to replicate this excellent project. And for his next version, he already has a few ideas for improvement and would like to hear if other hackers have suggestions.

Continue reading “Hackaday Prize Entry: Dementia-Friendly Music Player”

Measuring Gait Speed Passively To Diagnose Diseases

You may not realize it, but how fast a person walks is an important indicator of overall health. We all instinctively know that we lag noticeably when a cold or the flu hits, but monitoring gait speed can help diagnose a plethora of chronic diseases and conditions. Wearables like Fitbit would be one way to monitor gait speed, but the Computer Science and Artificial Intelligence Lab at MIT thinks there’s a better way:  a wireless appliance that measures gait speed passively.

CSAIL’s sensor, dubbed WiTrack (PDF), is a wall-mounted plaque that could be easily concealed as a picture or mirror. It sends out low-power RF signals between about 5- and 7-GHz to perform 3D motion tracking in real time. The WiTrack sensor has a resolution of about 8 cm at those frequencies. With their WiGait algorithms (PDF), the CSAIL team led by [Chen-Yu Hsu] is able to measure not only overall walking speed, but also stride length. That turns out to be critical to predicting the onset of such diseases as Parkinson’s, which has a very characteristic shuffling gait in the early phase of the disease. Mobility impairments from other diseases, like ALS and multiple sclerosis, could also be identified.

WiTrack builds on [Hsu]’s previous work with through-wall RF tracking. It’s nice to see a novel technique coming closer to a useful product, and we’ll be watching to see where this one goes.

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Hackaday Prize Entry: Analyzing And Controlling Hand Tremors

For the millions of people suffering from Parkinson’s and other causes of hand tremor, there is new hope in the form of [mohammedzeeshan77]’s entry into the Hackaday Prize: a glove that analyzes and controls the tremors.

The glove uses an accelerometer and a pair of flex sensors to determine the position of the hand as it oscillates. A Particle Photon crunches the raw data to come up with the frequency and amplitude of the tremors and uploads it to the cloud for retrieval and analysis by medical staff.

Hand tremors can vary in frequency and severity depending on the cause. Some are barely perceptible movements, and others are life-disrupting shakes. By analyzing the frequency and amplitude of these tremors, doctors can better understand a patient’s condition.

The best part of this glove is that it also provides immediate relief to the wearer by stabilizing the hand. A rapidly spinning super precision gyroscope counteracts the tremor oscillations as it tries to maintain its position. The last time we saw innovation like this, it came with a set of attachments.