Lifeboat Foundation: Safeguarding Humanity
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Category: wearables

It is estimated that about 80 million people worldwide live with a tremor. For example, those who live with Parkinson’s disease. The involuntary periodic movements sometimes strongly affect how patients are able to perform daily activities, such as drinking from a glass or writing.

Wearable soft robotic devices offer a potential solution to suppress such tremors. However, existing prototypes are not yet sophisticated enough to provide a real remedy.

Scientists at the Max Planck Institute for Intelligent Systems (MPI-IS), the University of Tübingen, and the University of Stuttgart under the Bionic Intelligence Tübingen Stuttgart (BITS) collaboration want to change this. The team equipped a biorobotic arm with two strands of strapped along the forearm.

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An international team of scientists developed augmented reality glasses with technology to receive images beamed from a projector, to resolve some of the existing limitations of such glasses, such as their weight and bulk. The team’s research is being presented at the IEEE VR conference in Saint-Malo, France, in March 2025.

Augmented reality (AR) technology, which overlays and virtual objects on an image of the real world viewed through a device’s viewfinder or , has gained traction in recent years with popular gaming apps like Pokémon Go, and real-world applications in areas including education, manufacturing, retail and health care. But the adoption of wearable AR devices has lagged over time due to their heft associated with batteries and electronic components.

AR glasses, in particular, have the potential to transform a user’s physical environment by integrating virtual elements. Despite many advances in hardware technology over the years, AR glasses remain heavy and awkward and still lack adequate computational power, battery life and brightness for optimal user experience.

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Stretchable display materials, which are gaining traction in the next-generation display market, have the advantage of being able to stretch and bend freely, but the limitations of existing materials have resulted in distorted screens and poor fit.

General elastomeric substrates are prone to screen due to the “Poisson’s ratio” phenomenon, in which stretching in one direction causes the screen to shrink in the vertical direction. In particular, electronics that are in close contact with the skin, such as , are at risk of wrinkling or pulling on the skin during stretching and shrinking, resulting in poor fit and performance.

A research team led by Dr. Jeong Gon Son of the Korea Institute of Science and Technology (KIST) and Professor Yongtaek Hong of Seoul National University have developed a nanostructure-aligned stretchable substrate that dramatically lowers the Poisson’s ratio. The work is published in the journal Advanced Materials.

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This was first predicted by Omni magazine in 1981.

In the world of medicine, the ability to listen to the intricate symphony of sounds within the human body has long been a vital diagnostic tool. Physicians routinely employ stethoscopes to capture the subtle rhythms of air moving in and out of the lungs, the steady beat of the heart, and even the progress of digested food through the gastrointestinal tract.

These sounds hold valuable information about a person’s health, and any deviations from the norm can signal the presence of underlying medical issues. Now, a groundbreaking development from Northwestern University is set to transform the way we monitor these vital sounds.

Continue reading “First-of-their-kind wearable sensors continuously monitor health through body sounds” | >

In a breakthrough that could transform bioelectronic sensing, an interdisciplinary team of researchers at Rice University has developed a new method to dramatically enhance the sensitivity of enzymatic and microbial fuel cells using organic electrochemical transistors (OECTs). The research was recently published in the journal Device.

The innovative approach amplifies electrical signals by three orders of magnitude and improves signal-to-noise ratios, potentially enabling the next generation of highly sensitive, low-power biosensors for health and .

“We have demonstrated a simple yet powerful technique to amplify weak bioelectronic signals using OECTs, overcoming previous challenges in integrating fuel cells with electrochemical sensors,” said corresponding author Rafael Verduzco, professor of chemical and biomolecular engineering and materials science and nanoengineering. “This method opens the door to more versatile and efficient biosensors that could be applied in medicine, environmental monitoring and even wearable technology.”

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DGIST research teams have developed a self-powered sensor that uses motion and pressure to generate electricity and light simultaneously. This battery-free technology is expected to be used in various real-life applications, such as disaster rescue, sports, and wearable devices.

Triboelectric nanogenerators (TENG) and mechanoluminescence (ML) have attracted attention as green energy technologies that can generate electricity and light, respectively, without external power. However, researchers in previous studies mainly focused on the two technologies separately or simply combined them. Moreover, the power output stability of TENG and the insufficient luminous duration of ML materials have been major limitations for practical applications.

The research team has developed a system that generates electricity and light simultaneously using motion and pressure. They added light-emitting zinc sulfide-copper (ZnS: Cu) particles to a rubber-like material (polydimethylsiloxane [PDMS]) and designed a single electrode structure based on silver nanowires to obtain high efficiency. The developed device does not degrade in performance even after being repeatedly pressed more than 5,000 times, and it stably generates voltages of up to 60 V and a current of 395 nA.

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Plastic that conducts electricity might sound impossible. But there is a special class of materials known as “electronic polymers” that combines the flexibility of plastic with the functionality of metal. This type of material opens the door for breakthroughs in wearable devices, printable electronics and advanced energy storage systems.

Yet, making thin films from electronic polymers has always been a difficult task. It takes a lot of fine-tuning to achieve the right balance of physical and . Researchers at the U.S. Department of Energy’s (DOE) Argonne National Laboratory have created an innovative solution to this challenge with artificial intelligence (AI).

They used an AI-driven, automated materials laboratory, a tool called Polybot, to explore processing methods and produce high-quality films. Polybot is located at the Center for Nanoscale Materials, a DOE Office of Science user facility at Argonne.

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Wound infections are common combat injuries and can take otherwise able-bodied personnel out of operations and/or result in severe medical complications. Current standard of care relies on complicated and often time-consuming tests to identify the specific infection-inducing pathogens that caused the wound infection. Therapeutic treatments rely on broad-spectrum and high-dose antibiotics alongside surgical excision – which are not pathogen specific, drive antibiotic resistance, can have toxic side effects, require advanced medical training, and can result in high treatment costs and burden on patients. A game-changing approach to managing infection of combat wounds, particularly one that can be applied autonomously, would benefit warfighter readiness and resilience.

The BioElectronics to Sense and Treat (BEST) program seeks to meet this need by developing wearable, automated technologies that can predict and prevent a wound infection before it can occur, and to eliminate an infection if it has already taken hold. To achieve this, DARPA is seeking researchers to develop novel bioelectronic smart bandages comprised of wound infection sensor and treatment modules. The sensors should be high-resolution and provide real-time, continual monitoring of wounds based on, for example, the person’s immune state and the collection of bacteria that live in and around a wound. Data from these sensors will be used to predict if a wound will fail to heal due to infection, diagnose the infection, and regulate administration of targeted treatments – using closed-loop control to prevent or resolve infection for improved wound healing.

“Given that infection initiates at the time of injury and can take hold before aid arrives, particularly in austere environments, the earlier we can deploy these technologies, the bigger impact they will have,” noted Dr. Leonard Tender, BEST program manager. “Even if medivac occurs immediately, without the ability to prevent infection, the downstream care required to treat the surge of wound infections resulting from a large-scale combat operation could easily overwhelm care capacity.”

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