Categories
BCI

Shallow implant plus precise stimulation startup aims to treat depression

Inner Cosmos is a new, shallowly implanted brain stimulation system meant to address depression. It calls its system a “digital pill” but still requires a procedure for electronics to be placed under the skin on the head. Chief Medical Officer Eric Leuthardt is a top neurosurgeon from Washington University in St Louis and the CEO is former AR entrepreneur Meron Gribetz.

The goal is for tiny electrical pulses to normalize connections among neurons and improve mood with out deeply implanted electrodes. The patient would activate the system daily for 15 minutes by placing a second device, a magnetic power pod, on top of the implant. The implant sends pulses into the brain as the system measures neuronal activity to determine the appropriate amount of stimulation.

ApplySci was unable to locate photos of the device or papers describing the technology.


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Categories
Sensors

Zenan Bao further develops stretchable, potentially reshapeable, skin inspired electronics

Stanford’s Zhenan Bao and team have developed a stretchable, potentially reshapeable, wearable display that can allow a new way of interactive human-machine interface. “We can see the image and interact with it, and then the display can change according to our response” said Bao in a Stanford interview.

The display is made entirely of stretchy polymers, with a maximum brightness of twice that of a cellphone. It can be stretched to twice its original length without tearing.

Most light-emitting polymers are crack when stretched. Flexibility can be increased with elastic insulating materials, which decrease electrical conductivity, and require a dangerously high voltage.

Postdoc Zhitao Zhang discovered that a yellow-colored light-emitting polymer called SuperYellow became soft and pliable, and emitted brighter light when mixed with a type of polyurethane. The interconnected net of nanoscale fibers that make the SuperYellow stretchy don’t inhibit electricity flow. The group also created elastic red, green and blue light-emitting polymers.

The final display contains seven layers. Two outer layers are two substrates that encapsulate the device. Two inner electrode layers follow, each followed by charge transporting layers. The light-emitting layer is sandwiched in the center.

When electricity runs through the display, one electrode injects positive charges, called holes, into the light-emitting layer, while the other injects negatively charged electrons into it. When the two types of charges meet, they bond and go into an energetically excited state. Almost immediately, the state returns to normal by producing a photon.

The resulting all-polymer film can adhere to an arm or finger and doesn’t rip during bending or flexing. This allows wearable tracker displays to directly attach to skin.

Bao imagines “a display where you can both see and feel the three-dimensional object on the screen. This will be a completely new way to interact with each other remotely.”


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Categories
Brain

Stanford study: High dose magnetic stimulation eases severe depression

Nolan Williams, Alan Schatzberg, and Stanford colleagues have published a small, double blind study showing that high dose, noninvasive, magnetic brain stimulation alleviated depression symptoms in 80% of participants.

Stanford accelerated intelligent neuromodulation therapy (SAINT) is an intensive, individualized form of transcranial magnetic stimulation. Effects were seen within days and lasted months. Side effects included fatigue and headaches.

29 people with treatment-resistant depression participated. Half received SAINT, and half received a placebo procedure. After five days, 78.6% of the participants in the treatment group had eased symptoms.


See CBS Sunday Morning video describing patient experiences with SAINT


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Categories
Brain

Passive EEG assessment detects cognitive decline early

George Sothart and University of Bath colleagues have developed a new, EEG + game memory assessment technique which could enable the earlier diagnosis of Alzheimer’s disease, the underlying cause of around 60% of dementia cases..

The need for early diagnosis tools to help doctors to prescribe lifestyle interventions to slow the rate of cognitive decline is obvious. This tool could also help identify dementia patients for clinical trials.

“Fastball EEG” is passive. The person performing the test is not given priorinstructions prior to the task, as dementia patients may struggle to follow complex directions, and is not asked to reflect on, respond to or remember any items. She or he simply watches a screen of flashing images.

Two discrete frequency responses are captured, reflecting the participant’s periodic neural responses to the stimuli. The first reflects visual processing; the second mirrors the brain’s response to previously seen images and reflects recognition memory. Analyzing the EEG spectrum at the second, slower frequency can quantify the patient’ memory response.

Fastball EEG was studied in 20 patients with Alzheimer’s disease, 20 healthy older adults and 20 healthy younger adults. For both the recognition and repetition conditions, Fastball EEG detected significantly impaired recognition memory in Alzheimer’s disease patients compared with healthy older control subjects. There were no differences between the two groups under the control condition, where image recognition was not included. The Fastball test could also discriminate Alzheimer’s disease patients from healthy older adult controls, with an accuracy of 86%. No significant performance differences were seen between older and younger healthy controls.

After the Fastball task, participants completed a forced-choice task, in which they had to identify a previously seen image from two alternatives. Here, the researchers observed little difference between Alzheimer’s disease patients and controls, suggesting that Fastball was more sensitive to memory performance than this behavioral recognition test.


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Categories
Sensors

Candy sensor prototype to monitor electrolytes, ovulation, kidney function through saliva

Korea University professors Beelee Chua and Donghyun Lee have developed a health monitoring sensor using saliva collected from a Tootsie Roll candy to detects salt and electrolyte levels, and monitor ovulation status and kidney health.

The easily accessible, low-waste sensor is simply licked.

To make the prototype sensor, a Tootsie roll was flattened and crevices were pressed into its surface to hold the saliva sample. Two thin, reusable aluminum tubes were inserted, acting as electrical contacts, connecting the candy electrode into a circuit with a current source and an output voltage detector. In preliminary tests, the device could measure salt levels that were physiologically relevant for health monitoring in a salt-water solution and artificial saliva. When covered in diluted artificial saliva, the sensor could reliably measure a change in voltage low enough to detect the 10 to 30 percent drop in salts that occurs when a person ovulates. While the maximum salt content in the artificial saliva samples was similar to that of a healthy adult, the researchers used calculations to estimate that conductivities three times higher, which signal a problem with the kidneys, would be within the measurable range of the device.

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Categories
Biomarkers

Blood test distinguishes bacterial vs viral infections in 15 minutes

MeMed BV is a blood test which uses the body’s immune response to distinguish between bacterial and viral infections. It does not detect the cause of an infection — instead it analyzes the “host response,” measuring levels of three proteins that appear differently, depending on whether the immune system is fighting a virus or bacteria. Results appear within 15 minutes.

Used to rapidly treat patients properly, only using antibiotics when appropriate, the test, which recently received FDA approval and will be used in emergency rooms, is a potential breakthrough.

MeMed also has received CE clearance for a COVID severity test, which can provide an early indication of deterioration and predict disease progression and recovery.


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Categories
COVID 19 Sensors

DNA sensor detects whether virus is present and infectious, including COVID 19

Yi Lu and Benito Marinas at the University of Illinois and University of Texas have developed a sensor that detects both the presence of a virus and whether or not it is infectious, integrating purpose designed DNA fragments and nanopore sensing. They have already studied its potential with the adenovirus and COVID 19.

Current PCR tests detect viral genetic material but cannot distinguish whether a sample is infectious or determine whether a person is contagious.

DNA aptamers bind selectively to infectious viruses. In addition to the nanopore sensor, they could be integrated into other platforms such as color-changing dipsticks.

According to Lu: “With the virus that causes COVID-19, it has been shown that the level of viral RNA has minimal correlation with the virus’s infectivity. In the early stage when a person is infected, the viral RNA is low and difficult to detect, but the person is highly contagious. When a person is recovered and not infectious, the viral RNA level can be very high. Antigen tests follow a similar pattern, though even later than viral RNA. Therefore, viral RNA and antigen tests are both poor in informing whether a virus is infectious or not. It may result in delayed treatment or quarantine, or premature release of those who may still be contagious.”

Plaque assay Tests that detect infectious viruses require special preparation and days of incubation. The new method produces results in 30 minutes to two hours. Since it requires no pre-treatment of the sample, it can be used on viruses that will not grow in the lab.

The sensing technique could be applied to other viruses by tweaking the DNA to target different pathogens. The DNA aptamers used in the sensor can be readily produced with widely available DNA synthesizers, similarly to the RNA probes produced for PCR tests. Nanopore sensors are also commercially available, making the sensing technique readily scalable.

The researchers are working to integrate the sensors into easy to use detection methods, including dipsticks or smartphones.


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Categories
Brain

Apple partners with UCLA, Biogen for iPhone mental/cognitive health monitoring


The Apple/UCLA project “Seabreeze” and Apple/Biogen project “Pi” represent a further move into iPhone health monitoring.

According to the Wall Street Journal, Apple is attempting to develop an algorithm to identify depression and cognitive decline from sleep patterns, mobility, and how one uses the phone — for example, how often they look at its clock.

This follows a study that Apple Did with Eli Lilly, which showed that MCI and early dementia patients typed slowly, used devices erratically, sent fewer texts, and used “helper apps” often.

A recent Apple/Duke study analyzed kids phone use to understand emotions and behavior that could be associated with autism.

Mindstrong Health and others have been evaluating phone use to detect mental illness for years, and Mindstrong has recently moved into therapy and psychiatry offerings, based on phone based digital phenotyping, which could be where Apple is headed with these new projects.

The very earliest stages of mental and cognitive wellness changes could be missed using phone data alone, but could still be detected with EEG or other brain signal monitoring technology.

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Categories
Conference


ApplySci’s 14th Wearable Tech + Digital Health + Neurotech conference returns to MIT on September 30, 2022
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ApplySci’s 14th Deep Tech Health + Neurotech conference returns to MIT on September 30, 2022, focused on healthy longevity  –  understanding, detecting, treating and preventing disease through technology.  Topics include:

  • Slowing and reversing aging
  • The new preventive care paradigm
  • Next generation remote healthcare
  • Causes of neurodegeneration
  • Sensor-driven diagnostics and treatment
  • Broad spectrum brain technologies
  • Healthcare in the metaverse
  • Digital biomarkers
  • Robots at home
  • Enhancing our senses
  • Clinical trials of the future

ApplySci will have exclusive use of the 7th floor of the Samberg Center, and its large terraces.  Registration is limited.  Terrace doors will remain open, and meals will be served outside.  Masks and proof of vaccine will be required by both MIT and ApplySci.

Categories
Sensors

Wang’s fingertip sweat sensor detects glucose levels

UCSD’s Joe Wang has developed a totally noninvasive sensor and algorithm to detect glucose levels from sweat on the fingertip. The painless, rapid, and accurate system could revolutionize diabetes management. The systemcombines a simple touch-based fingertip sweat electrochemical sensor with a new algorithm that addresses for personal variations toward the accurate estimate of blood glucose concentrations. It leverages the fast sweat rate on the fingertip for rapid assays of natural perspiration, without any sweat stimulation, along with the personalized sweat-response-to-blood concentration translation. A reliable estimate of the blood glucose sensing concentrations can thus be realized through a simple one-time personal precalibration. Such system training leads to a substantially improved accuracy with a Pearson correlation coefficient higher than 0.95, along with an overall mean absolute relative difference of 7.79%, with 100% paired points residing in the A + B region of the Clarke error grid. The speed and simplicity of the touch-based blood-free fingertip sweat assay, and the elimination of periodic blood calibrations, should lead to frequent self-testing of glucose and enhanced patient compliance toward the improved management of diabetes.

Click to view Joe Wang discussing wearable sensors at they 2019 ApplySci conference at Harvard Medical School.

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Categories
BCI Brain

Nurmikko’s Neurograins can enable unprecedented brain signal recording detail, new therapies


Arto Nurmikko and Brown colleagues have developed BCI system which employs a coordinated network of independent, wireless microscale neural sensors, to record and stimulate brain activity. “Neurograins” independently record electrical pulses made by firing neurons and send the signals wirelessly to a central hub, which coordinates and processes the signals.

In a recent Nature paper, the team demonstrated the use of 50 autonomous neurograins to record neural activity in a rodent. They believe that this can enable a future system of unprecedented brain signal recording detail, and new therapies for brain diseases and spine injuries.

According to Nurmikko, “one of the big challenges in the field of brain-computer interfaces is engineering ways of probing as many points in the brain as possible. Up to now, most BCIs have been monolithic devices — a bit like little beds of needles. Our team’s idea was to break up that monolith into tiny sensors that could be distributed across the cerebral cortex. That’s what we’ve been able to demonstrate here.”

48 neurograins were placed on a rodent’s cerebral cortex, and successfully recorded characteristic neural signals associated with spontaneous brain activity. The team also tested the devices’ ability to stimulate the brain with electrical pulses.

The size of the animal’s brain limited the team to 48 neurograins for this study, but the data suggest that the current configuration of the system could support up to 770. Ultimately, the team envisions scaling up to many thousands of neurograins, which would provide a currently unattainable picture of brain activity.

Click to view Professor Nurmikko discussing Brain Computer Interfaces at the 2019 ApplySci conference at Harvard Medical School.

June us at the 14th Wearable Tech + Digital Health + Neurotech Boston conference, on April 8, 2022 at MIT.

Categories
Sensors

Patch simultaneously monitors blood pressure, biochemical levels

UCSD’s Joe Wang continues to define the future of vital sign monitoring with a combination of advanced chemistry and unobtrusive wearables. Together with Professor Sheng Xu, he has developed a skin patch that continuously tracks blood pressure and heart rate while measuring glucose levels, lactate, and alcohol or caffeine. It is the first wearable device that monitors cardiovascular signals and multiple biochemical levels simultaneously.

Remote monitoring is obviously increasingly important in the age of COVID. A device that can show the earliest signs of distress, including the onset of sepsis, in those at risk of becoming seriously ill during the pandemic, is significant.

The patch could also be used in hospital ICUs for patients of all ages.

According to Wang, “the novelty here is that we take completely different sensors and merge them together on a single small platform as small as a stamp. We can collect so much information with this one wearable and do so in a non-invasive way, without causing discomfort or interruptions to daily activity.”

Professo Xu described the new patch, saying “Each sensor provides a separate picture of a physical or chemical change. Integrating them all in one wearable patch allows us to stitch those different pictures together to get a more comprehensive overview of what’s going on in our bodies.”.

The patch is capable of measuring three parameters at once, one from each sensor: blood pressure, glucose, and either lactate, alcohol or caffeine. The blood pressure sensor sits near the center of the patch. It consists of a set of small ultrasound transducers that are welded to the patch by a conductive ink. A voltage applied to the transducers causes them to send ultrasound waves into the body. When the ultrasound waves bounce off an artery, the sensor detects the echoes and translates the signals into a blood pressure reading.

The chemical sensors are two electrodes that are screen printed on the patch from conductive ink. The electrode that senses lactate, caffeine and alcohol is printed on the right side of the patch; it works by releasing a drug called pilocarpine into the skin to induce sweat and detecting the chemical substances in the sweat. The other electrode, which senses glucose, is printed on the left side; it works by passing a mild electrical current through the skin to release interstitial fluid and measuring the glucose in that fluid. The researchers were interested in measuring these particular biomarkers because they impact blood pressure.

In tests, subjects wore the patch on the neck while performing various combinations of the following tasks: exercising on a stationary bicycle; eating a high-sugar meal; drinking an alcoholic beverage; and drinking a caffeinated beverage. Measurements from the patch closely matched those collected by commercial monitoring devices such as a blood pressure cuff, blood lactate meter, glucometer and breathalyzer. Measurements of the wearers’ caffeine levels were verified with measurements of sweat samples in the lab spiked with caffeine.

One of the biggest challenges in making the patch was eliminating interference between the sensors’ signals. To do this, the researchers had to figure out the optimal spacing between the blood pressure sensor and the chemical sensors. They found that one centimeter of spacing did the trick while keeping the device as small as possible.

The researchers also had to figure out how to physically shield the chemical sensors from the blood pressure sensor. The latter normally comes equipped with a liquid ultrasound gel in order to produce clear readings. But the chemical sensors are also equipped with their own hydrogels, and the problem is that if any liquid gel from the blood pressure sensor flows out and makes contact with the other gels, it will cause interference between the sensors. So instead, the researchers used a solid ultrasound gel, which they found works as well as the liquid version but without the leakage.

Click to view UCSD video