Automatic sleep staging typically relies on gold-standard EEG setups, which are accurate but obtrusive and impractical for everyday use outside sleep laboratories. This limits applicability in real-world settings, such as home environments, where continuous, long-term monitoring is needed. Detecting sleep onset is particularly relevant, enabling consumer applications (e.g. automatically pausing media playback when the user falls asleep). Recent research has shown correlations between in-ear EEG and full-scalp EEG for various phenomena, suggesting wearable, in-ear devices could allow unobtrusive sleep monitoring. We investigated the feasibility of using single-channel in-ear electrophysiological (ExG) signals for automatic sleep staging in a wearable device by conducting a sleep study with 11 participants (mean age: 24), using a custom earpiece with a dry eartip electrode (Dätwyler SoftPulse) as a measurement electrode in one ear and a reference in the other. Ground truth sleep stages were obtained from an Apple Watch Ultra, validated for sleep staging. Our system achieved 90.5% accuracy for binary sleep detection (Awake vs. Asleep) and 65.1% accuracy for four-class staging (Awake, REM, Core, Deep) using leave-one-subject-out validation. These findings demonstrate the potential of in-ear electrodes as a low-effort, comfortable approach to sleep monitoring, with applications such as stopping podcasts when users fall asleep.

Sleep is among the most important factors affecting one's daily performance, well-being, and life quality. Nevertheless, it became possible to measure it in daily life in an unobtrusive manner with wearable devices. Rather than camera recordings and extraction of the state from the images, wrist-worn devices can measure directly via accelerometer, heart rate, and heart rate variability sensors. Some measured features can be as follows: time to bed, time out of bed, bedtime duration, minutes to fall asleep, and minutes after wake-up. There are several studies in the literature regarding sleep quality and stage prediction. However, they use only wearable data to predict or focus on the sleep stage. In this study, we use the NetHealth dataset, which is collected from 698 college students' via wearables, as well as surveys. Recently, there has been an advancement in deep learning algorithms, and they generally perform better than conventional machine learning techniques. Among them, Convolutional Neural Networks (CNN) have high performances. Thus, in this study, we apply different CNN architectures that have already performed well in the human activity recognition domain and compare their results. We also apply Random Forest (RF) since it performs best among the conventional methods. In future studies, we will compare them with other deep learning algorithms.

The skin is the largest organ in our body, and also the most complex. Peer at it under a microscope and you'll see thousands of nerve endings that keep the brain connected to the outside world and allow us to feel touch, pressure, and pain. But when Zhenan Bao looks at it, she sees something else. For Bao, a chemical engineer focused on making polymers, the skin is not only a sensory organ, but also a material. One that, in her words, is flexible, but also stretchable, self-healing, and biodegradable.

Andrew Rickman, CEO of Rockley explains why wearables will be at the heart of a healthcare revolution in 2023. A revolution is coming to healthcare--and soon. Over the next year, wearable devices and the advanced sensors and AI technologies that work with them will transform healthcare for millions of patients, enabling them to avoid many serious health conditions and better diagnose and manage a range of chronic illnesses. Deloitte Global forecasts that 320 million health and wellness wearables will ship to consumers worldwide in 2022. By 2024, it says, that number will rise to almost 440 million as new devices are released, and healthcare providers grow more comfortable with them.

This prestigious event took place in Lisbon and was hosted by the Champalimaud Foundation at its world class facilities. The Champalimaud Foundation has the world's first pancreatic cancer research and treatment centre. The Botton-Champalimaud Pancreatic Cancer Centre has the first unit in the world designed and built specifically with the aim of researching and treating pancreatic cancer. This Centre is the result of a partnership between the Champalimaud Foundation and Maurício and Carlotta Botton, who contributed 50 million euros to its construction. Over the past 20 years, the number of people with pancreatic cancer has increased exponentially throughout most of the world, especially in the most industrialised countries.

Over the past decade, wearable technology such as smart wristbands, watches, rings, and patches have gained immense popularity. According to The Economist, smartwatches are catching on as fast as early mobile phones in the United States, and the most recent study on wearables estimates that about one in four Americans owns a smartwatch or fitness tracker. Wearables have successfully entered the mainstream, and their popularity doesn't seem to be slowing down anytime soon. In 2021, the global wearables market was valued at $116 billion, and analysts forecast it will grow to $265 billion by 2026. The success of these devices is primarily due to the insights they offer users about their health.

IoT, AI, wearables, blockchain & RPA are providing seamless and hassle-free management of supply chain flows while cutting down operating costs. Right from product development to its sale, organizations have to pay special attention to streamlining the internal activities for creating an impact on the organization's bottom line. For offering expeditious service to customers and to gain competitive advantage in the market, in this fast-paced digital world, companies should revise their supply chain activities and services with a focus on appropriate business strategies and state-of-the-art technologies. Technologies will enhance the speed, dynamics, and resilience of internal, as well as, external supply chain operations, which will, in turn, strengthen customer relationships, leading to increased revenue flow. Let's see some key supply chain technological trends, which will soon redefine the current practices, thereby helping companies experience operational efficiencies, market valuation, and financial growth.

As the world adopted technology in day-to-day living and across various business functions, patients also have started demanding amplified quality of care, rapid diagnosis, improved life spans, and recovery from chronic conditions such as cancer. It is time to move past the conventional methods of healthcare and adapt to the new healthcare processes driven by modern tech. Artificial Intelligence has transformed every industry there is, and healthcare is no exception. The healthcare industry has always benefitted with the use of modern technology, and mobile devices and Artificial Intelligence has added to it, paving the way for improved quality of life for us humans. The impact of Artificial Intelligence for healthcare has been widespread, touching base with almost every element of healthcare - from diagnosis to record-keeping, preventive treatments to recovering from an epidemic.

Artificial Intelligence has come into everyone's life in one way or another over the past decade. One of the fastest growing areas using this new technology is the healthcare industry. There have been many advancements over the years and new ways of using it coming out every day. These advancements have even come into light with physicians using data they receive from wearables like smartwatches. Companies like Microsoft and Apple have entire teams dedicated to healthcare.

While some have viewed the merging of technology and physiology as fantasy, reality is showing that this is no longer just science fiction. On the contrary, the beginnings of this process are well underway. We are however, still in the'toddler' stage of this evolution. Many people found the first wave of wearables came up short. Entry-level price points were high, and accuracy was not all that it was cracked up to be.