Lifeboat Foundation: Safeguarding Humanity
Toggle light / dark theme

Blog

Category: wearables

‘Drop-printing’ shows potential for constructing bioelectronic interfaces that conform to complex surfaces

With the rapid development of wearable electronics, neurorehabilitation, and brain-machine interfaces in recent years, there has been an urgent need for methods to conformally wrap thin-film electronic devices onto biological tissues to enable precise acquisition and regulation of physiological signals.

Conventional methods typically rely on external pressure to force devices onto conformal contact. However, when applied to uneven three-dimensional surfaces such as skin, brain, or nerves, they generate significant internal stress which can easily damage fragile metal circuits and inorganic chips. This is an obstacle to the advancement of flexible electronics.

In a study published in Science, Prof. Song Yanlin’s team from the Institute of Chemistry of the Chinese Academy of Sciences, along with collaborators from Beijing Tiantan Hospital, Nanyang Technological University, and Tianjin University, propose a new film transfer strategy named as drop-printing, which has potential applications in bioelectronics, flexible displays, and micro-/nano-manufacturing.

Cotton-based methanol fuel cells could power future flexible electronics

Cotton-based fiber fuel cells can now convert methanol into electricity while sustaining peak power density through 2,000 continuous flex cycles. This breakthrough paves the way for safe, high-performance power sources for flexible electronics and wearable devices.

Researchers at Soochow University developed fiber-shaped direct methanol fuel cells (FDMFCs) using gel-encapsulated woven yarns. These “Yarn@gels” employ an adaptive internal pressure strategy, where the natural swelling of cotton fibers within the gel matrix generates pressure to keep the cell components tightly bound, removing the need for bulky, rigid parts. The result is a fuel cell that is flexible, cuttable, water-resistant, and quick to refuel in just one minute.

The findings of this study are published in Nature Materials.

Project Overview ‹ AlterEgo

AlterEgo is a non-invasive, wearable, peripheral neural interface that allows humans to converse in natural language with machines, artificial intelligence assistants, services, and other people without any voice—without opening their mouth, and without externally observable movements—simply by articulating words internally. The feedback to the user is given through audio, via bone conduction, without disrupting the user’s usual auditory perception, and making the interface closed-loop. This enables a human-computer interaction that is subjectively experienced as completely internal to the human user—like speaking to one’s self.

A primary focus of this project is to help support communication for people with speech disorders including conditions like ALS (amyotrophic lateral sclerosis) and MS (multiple sclerosis). Beyond that, the system has the potential to seamlessly integrate humans and computers—such that computing, the Internet, and AI would weave into our daily life as a “second self” and augment our cognition and abilities.

The wearable system captures peripheral neural signals when internal speech articulators are volitionally and neurologically activated, during a user’s internal articulation of words. This enables a user to transmit and receive streams of information to and from a computing device or any other person without any observable action, in discretion, without unplugging the user from her environment, without invading the user’s privacy.

Soft magnetoelastic sensor measures fatigue from eyeball movements in real-time

Over the past few decades, electronics engineers have developed increasingly sophisticated sensors that can reliably measure a wide range of physiological signals, including heart rate, blood pressure, respiration rate and oxygen saturation. These sensors were used to create both biomedical and consumer-facing wearable devices, advancing research and the real-time monitoring of health-related metrics, such as sleep quality and physiological stress.

Fatigue, a mental state marked by a decline in performance due to stress, lack of sleep, excessive activity or other factors, has proved to be more difficult to reliably quantify. Most existing methods for measuring fatigue rely on surveys that ask people to report how tired they feel, a method to record the brain’s electrical activity known as electroencephalography (EEG) or camera-based systems.

Most of these approaches are unreliable or only applicable in laboratory settings, as they rely on subjective evaluations, bulky equipment or controlled environments. These limitations prevent their large-scale deployment in everyday settings.

Atom-thin crystals provide new way to power the future of computer memory

Picture the smartphone in your pocket, the data centers powering artificial intelligence, or the wearable health monitors that track your heartbeat. All of them rely on energy-hungry memory chips to store and process information. As demand for computing resources continues to soar, so does the need for memory devices that are smaller, faster, and far more efficient.

A new study by Auburn physicists has taken an important step toward meeting this challenge.

The study, “Electrode-Assisted Switching in Memristors Based on Single-Crystal Transition Metal Dichalcogenides,” published in ACS Applied Materials & Interfaces, shows how memristors—ultra-thin that “remember” past —switch their state with the help of electrodes and subtle atomic changes inside the material.

Don’t sweat it: New device detects sweat biomarker at minimal perspiration rate

A team at Penn State has developed a novel wearable sensor capable of continuously monitoring low rates of perspiration for the presence of a lactate — a molecule the body uses to break down sugars for energy. This biomarker can indicate oxygen starvation in the body’s tissues, which is a key performance indicator for athletes as well as a potential sign of serious conditions such as sepsis or organ failure.

Scientists unveil a rubber band that generates electricity from body heat

A team led by scientists from Peking University has developed a rubber-like material that converts body heat into electricity. This advance could allow the next generation of wearable electronics to generate their own power continuously without the need for bulky batteries or constant recharging.

“Our thermoelectric elastomers combine skin-like elasticity with high energy conversion efficiency, paving the way for next-generation self-powered wearables,” the team said.

Wearable sweat sensor can detect responses to physical, emotional and pharmacological stress

Most people are well aware of the effects of chronic stress in the modern world. While some stress can be a good thing, like the type of stress your body feels during an intense workout, prolonged or chronic stress can lead to a myriad of health problems, including anxiety, heart disease, and inflammation. And, at a larger scale, the high prevalence of chronic stress in the population increases the burden on public health systems.

Tracking stress responses could help people better understand and manage stress, but stress can be difficult to measure and monitor in an objective and precise manner. Stress hormones fluctuate throughout the day, but current stress assessment methods rely on subjective self-reports, heart rate, or wearable sensors that only measure cortisol in a non-continuous manner. It is difficult to get a full picture of a person’s and its long-term effects with these current methods.

However, scientists have recently developed a device called the “Stressomic,” a wearable biosensor that can continuously monitor cortisol, epinephrine, and norepinephrine in sweat—which might just pave the way for better stress management. The device was recently tested in a study published in Science Advances. They claim that it’s capable of distinguishing between acute and and can be worn as a simple biocompatible patch placed on the skin.

Spatial computing, wearables and robots: AI’s next frontier

Spatial computing, an emerging 3D-centric computing model, merges AI, computer vision and sensor technologies to create fluid interfaces between the physical and digital. Unlike traditional models, which require people to adapt to screens, spatial computing allows machines to understand human environments and intent through spatial awareness.

Recent trademark filings and product launches show AI companies targeting the physical world with wearables and robots driven by complex spatial computing.

/* */