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Category: wearables – Page 20

150 YEARS MAXIMUM BIOLOGICAL AGE — “We observed, that the age-dependent population DOSI distribution broadening could be explained by a progressive loss of physiological resilience measured by the DOSI auto-correlation time. Extrapolation of this trend suggested that DOSI recovery time and variance would simultaneously diverge at a critical point of 120 − 150 years of age corresponding to a complete loss of resilience. The observation was immediately confirmed by the independent analysis of correlation properties of intraday physical activity levels fluctuations collected by wearable devices. We conclude that the criticality resulting in the end of life is an intrinsic biological property of an organism that is independent of stress factors and signifies a fundamental or absolute limit of human lifespan.”

We investigated the dynamic properties of the organism state fluctuations along individual aging trajectories in a large longitudinal database of CBC measurements from a consumer diagnostics laboratory. To simplify the analysis, we used a log-linear mortality estimate from the CBC variables as a single quantitative measure of aging process, henceforth referred to as dynamic organism state index (DOSI). We observed, that the age-dependent population DOSI distribution broadening could be explained by a progressive loss of physiological resilience measured by the DOSI auto-correlation time. Extrapolation of this trend suggested that DOSI recovery time and variance would simultaneously diverge at a critical point of 120 − 150 years of age corresponding to a complete loss of resilience. The observation was immediately confirmed by the independent analysis of correlation properties of intraday physical activity levels fluctuations collected by wearable devices. We conclude that the criticality resulting in the end of life is an intrinsic biological property of an organism that is independent of stress factors and signifies a fundamental or absolute limit of human lifespan.

P.O. Fedichev is a shareholder of Gero LLC. A.Gudkov is a member of Gero LLC Advisory Board. T.V. Pyrkov, K. Avchaciov, A.E. Tarkhov, L. Menshikov, and P.O. Fedichev are employees of Gero LLC.

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The patch can calibrate the glucose measurements based on the pH and temperature changes in sweat due to factors such as exercise and eating.

A team of researchers at Penn State has developed a new wearable patch that can monitor your health by analyzing your sweat. The patch, which is made of a special material that can detect glucose, pH, and temperature in sweat, can provide valuable information about your body’s condition and help diagnose and manage diseases such as diabetes.

Credit: Kate Myers/Penn State.

Sweat as biomarker.

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It encourages wearers to take more steps, covering distances more quickly than they could without it.

A wearable exoskeleton can help runners increase their speed by encouraging them to take more steps, allowing them to cover short distances more quickly.

While previous studies have focused on how wearable exoskeletons can help people reduce the energy they expend while running, the new study, published today in Science Robotics, examines how wearable robots can assist runners as they sprint.

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In a recent study published in Science Advances, researchers from the California Institute of Technology, led by Dr. Wei Gao, have developed a machine learning (ML)–powered 3D-printed epifluidic electronic skin for multimodal health surveillance. This wearable platform enables real-time physical and chemical monitoring of health status.

Wearable health devices have the potential to revolutionize the medical world, offering tracking, personalized treatments, and early diagnosis of diseases.

However, one of the main challenges with these devices is that they don’t track data at the molecular level, and their fabrication is challenging. Dr. Gao explained why this served as a motivation for their team.

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Aside from faster results, edge computing has the added benefit of increased privacy: If your health information never leaves your wearable, you don’t have to worry about someone else intercepting it — or interfering with it — en route.

So why do we run these apps in the cloud, instead of locally? The problem is that wireless devices have limited processing power and battery — to run a more advanced and energy-intensive AI program, you may have to turn to huge servers in the cloud.

A Stanford-led team has now unveiled NeuRRAM, a new microchip that could let us run advanced AI programs directly on our devices.

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Dr. Cody Visits Kernel Neuroscience Headquarters and tries on the Kernel Flow.

►►► INSTAGRAM (Behind The Scenes with Cody Rall MD):
https://www.instagram.com/codyrall_techforpsych/

►►► Dr. Cody’s presentation to Harvard/Digital Psychiatry: https://www.sodpsych.org/events.

►►► Kernel Lab and Aimlab footage posted with permission from Kernel: https://www.kernel.com/ and https://www.youtube.com/channel/UCXifD9arenz_20VlzLDHbwA

Cody Rall, M.D., is a United States Navy trained Psychiatrist who specializes in neurotechnology wearables. He is a co-founder of Stanford Brainstorm, the world’s first academic laboratory dedicated to transforming brain health through entrepreneurship.

Dr. Rall also served as a selection judge and team member of the psychiatry innovation lab, an annual national competition at the American Psychiatric Association that works as an incubator for groups developing technological solutions to problems in mental health care. He is the founder of Techforpsych, a media and relations company that covers advancements in technology related to neuroscience.

Continue reading “Putting On The Most Advanced Brain Scan Helmet Known to Man (Kernel Neuroscience fNIRS Helmet)” | >

Engineers and chemists at Lawrence Livermore National Laboratory (LLNL) and Meta have developed a new kind of 3D-printed material capable of replicating characteristics of biological tissue, an advancement that could impact the future of “augmented humanity.”

In a paper recently published in the journal Matter, LLNL and Meta researchers describe a framework for creating a “one-pot” 3D-printable resin in which light is used to pattern smooth gradients in stiffness to approximate gradients found in biology, such as where bone meets muscle.

The framework addresses a key challenge in developing more lifelike wearables: “mechanical mismatch.” Whereas natural tissues are soft, electronic devices are usually made of rigid materials and it can be difficult and time-consuming to assemble such devices using traditional means.

We support diverse research activities with talented staff, state-of-the-art facilities and core competencies. From internal collaboration to external partnerships, we work together to advance scientific discovery.

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With the rapid growth of the smart and wearable electronic devices market, smart next-generation energy storage systems that have energy storage functions as well as additional color-changing properties are receiving a great deal of attention. However, existing electrochromic devices have low electrical conductivity, leading to low efficiency in electron and ion mobility, and low storage capacities. Such batteries have therefore been limited to use in flexible and wearable devices.

On August 21, a joint research team led by Professor Il-Doo Kim from the KAIST Department of Materials Science and Engineering (DMSE) and Professor Tae Gwang Yun from the Myongji University Department of Materials Science and Engineering announced the development of a smart electrochromic Zn-ion battery that can visually represent its charging and discharging processes using an electrochromic polymer anode incorporated with a “π-bridge spacer,” which increases electron and efficiency.

Their research was published as an inside cover article for Advanced Materials on August 3 under the title, “A π-Bridge Spacer Embedded Electron Donor-Acceptor Polymer for Flexible Electrochromic Zn-Ion Batteries.”

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Microsoft will drop support for the Cortana app in Windows before the end of this year, but it may be working on a new digital assistant for wearables. The company has filed a patent application for an AI-powered smart backpack.

The proposed backpack would have a camera, microphone and other sensors to collect visual and audio data from the surroundings. It could then use this contextual data to complete voice commands given by the user.

According to the patent filing, the backpack could provide navigation assistance, add calendar events, compare prices while shopping, and more. It would access the user’s data to help provide relevant information.

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