Search Results (185)

The PlazMagik device is a dual-gas cold atmospheric plasma (CAP) system that was developed and used for skin rejuvenation and inflammation treatment. However, preclinical evaluation and optimization of plasma parameters are crucial for guaranteeing safety. Therefore, this study was performed to evaluate the safety of the PlazMagik device under multiple parameters with different gas resources (helium (He) and argon (Ar) gases) on pig dorsal skin. After application of PlazMagik to the pig’s dorsal skin, temperature and visual assessments were observed immediately and for up to 30 days. All clinical parameters, including body weight and blood serum biochemistry, along with histopathological analysis (H&E, MT, VB, NBTC staining), were monitored pre-application and at 1, 7, 15, and 30 days post-application of the plasma device. Our results confirmed the safety of the machine at low-output energy settings, which showed gentle skin exfoliation but no tissue damage, while high-output settings led to the skin erosion effect, then developing erythema and coagulation. Ar gas resulted in more significant heat production and pathological changes than He under identical conditions. These findings emphasize the importance of the preclinical evaluation of the energy settings and gas selection on optimizing CAP system performance for safe clinical applications and appropriate application purposes. Full article

Flexible hydrogel sensors demonstrate emerging applications, such as wearable electronics, soft robots, and humidity smart devices, but their further application is limited due to their single-responsive behavior and unstable, low-sensitivity signal output. This study develops a dual-responsive starch-based conductive hydrogel via a facile “one-pot” strategy, achieving mechanically robust pressure sensing and ultra-sensitive humidity detection. The starch-Poly (2,3-dihydrothieno-1,4-dioxin)-poly (styrenesulfonate) (PEDOT:PSS)-glutaraldehyde (SPG) hydrogel integrates physical entanglement and covalent crosslinking to form a porous dual-network architecture, exhibiting high compressive fracture stress (266 kPa), and stable electromechanical sensitivity (ΔI/I₀, ~2.3) with rapid response (0.1 s). In its dried state (D-SPG), the film leverages the starch’s hygroscopicity for humidity sensing, detecting minute moisture changes (ΔRH = 6.6%) within 120 ms and outputting 0.4~0.5 (ΔI/I₀) signal amplitudes. The distinct state-dependent responsiveness enables tailored applications: SPG monitors physiological motions (e.g., pulse waves and joint movements) via conformal skin attachment, while D-SPG integrated into masks quantifies respiratory intensity with 3× signal enhancement during exercise. This work pioneers a sustainable candidate for biodegradable flexible electronics, overcoming trade-off limitations between mechanical integrity, signal stability, and dual responsiveness in starch hydrogels through synergistic network design. Full article

Many commercial wearable sensor systems typically rely on a single continuous cardiorespiratory sensing modality, photoplethysmography (PPG), which suffers from inherent biases (i.e., differences in skin tone) and noise (e.g., motion and pressure artifacts). In this research, we present a wearable device that provides robust estimates of cardiorespiratory variables by combining three physiological signals from the upper arm: multiwavelength PPG, single-sided electrocardiography (SS-ECG), and bioimpedance plethysmography (BioZ), along with an inertial measurement unit (IMU) providing 3-axis accelerometry and gyroscope information. We evaluated the multimodal device on 16 subjects by its ability to estimate heart rate (HR) and breathing rate (BR) in the presence of various static and dynamic noise sources (e.g., skin tone and motion). We proposed a hierarchical approach that considers the subject’s skin tone and signal quality to select the optimal sensing modality for estimating HR and BR. Our results indicate that, when estimating HR, there is a trade-off between accuracy and robustness, with SS-ECG providing the highest accuracy (low mean absolute error; MAE) but low reliability (higher rates of sensor failure), and PPG/BioZ having lower accuracy but higher reliability. When estimating BR, we find that fusing estimates from multiple modalities via ensemble bagged tree regression outperforms single-modality estimates. These results indicate that multimodal approaches to cardiorespiratory monitoring can overcome the accuracy–robustness trade-off that occurs when using single-modality approaches. Full article

In recent decades, flexible electronics have witnessed remarkable advancements in multiple fields, encompassing wearable electronics, human–machine interfaces (HMI), clinical diagnosis, and treatment, etc. Nevertheless, conventional rigid electronic devices are fundamentally constrained by their inherent non-stretchability and poor conformability, limitations that substantially impede their practical applications. In contrast, conductive hydrogels (CHs) for electronic skin (E-skin) and healthcare monitoring have attracted substantial interest owing to outstanding features, including adjustable mechanical properties, intrinsic flexibility, stretchability, transparency, and diverse functional and structural designs. Considerable efforts focus on developing CHs incorporating various conductive materials to enable multifunctional wearable sensors and flexible electrodes, such as metals, carbon, ionic liquids (ILs), MXene, etc. This review presents a comprehensive summary of the recent advancements in CHs, focusing on their classifications and practical applications. Firstly, CHs are categorized into five groups based on the nature of the conductive materials employed. These categories include polymer-based, carbon-based, metal-based, MXene-based, and ionic CHs. Secondly, the promising applications of CHs for electrophysiological signals and healthcare monitoring are discussed in detail, including electroencephalogram (EEG), electrocardiogram (ECG), electromyogram (EMG), respiratory monitoring, and motion monitoring. Finally, this review concludes with a comprehensive summary of current research progress and prospects regarding CHs in the fields of electronic skin and health monitoring applications. Full article

Photoplethysmographic (PPG) sensors are small and cheap wearable sensors which open the possibility of monitoring physiological parameters such as heart rate during normal daily routines, ultimately providing valuable information on health status. Despite their potential and distribution within wearable devices, their accuracy is affected by several influencing parameters, such as contact pressure and physical activity. In this study, the effect of contact pressure (i.e., at 20, 60, and 75 mmHg) and intensity of physical activity (i.e., at 3, 6, and 8 km/h) were evaluated on a sample of 25 subjects using both a reference device (i.e., an electrocardiography-based device) and a PPG sensor applied to the skin with controlled contact pressure values. Results showed differing accuracy and precision when measuring the heart rate at different pressure levels, achieving the best performance at a contact pressure of 60 mmHg, with a mean absolute percentage error of between 3.36% and 6.83% depending on the physical activity levels, and a Pearson’s correlation coefficient of between 0.81 and 0.95. Plus, considering the individual optimal contact pressure, measurement uncertainty significantly decreases at any contact pressure, for instance, decreasing from 15 bpm (at 60 mmHg) to 8 bpm when running at a speed of 6 km/h (coverage factor k = 2). These results may constitute useful information for both users and manufacturers to improve the metrological performance of PPG sensors and expand their use in a clinical context. Full article

Linear passive electrical devices/components are usually characterized in the frequency domain by their impedance, i.e., the ratio of the voltage and current phasors. The use of the impedance concept does not raise particular concerns in low-frequency regimes; however, things become more complicated when it comes to rapid time-varying phenomena, mainly because the voltage depends not only on the position of the points between which it is defined but also on the choice of the integration path that connects them. In this article, based on first principles (Maxwell equations and Poynting vector flow considerations), we discuss the concept of impedance and define it unequivocally for a class of electrical devices/components with rotational symmetry. Two application examples are presented and discussed. One simple example concerns the per-unit-length impedance of a homogeneous cylindrical wire subject to the skin effect. The other, which is more elaborate, concerns a heterogeneous structure that consists of a dielectric disk sandwiched between two metal plates. For the lossless situation, the high-frequency impedance of this device (circular parallel plate capacitor) reaches zero when the frequency reaches a certain critical frequency f_c; then, it becomes inductive and increases enormously when the frequency reaches another critical frequency at 1.6 f_c. The influence of losses on the impedance of the device is thoroughly investigated and evaluated. Impedance corrections due to dielectric losses are analyzed using a frequency-dependent Debye permittivity model. The impedance corrections due to plate losses are analyzed by considering radial current distributions on the outer and inner surfaces of the plates, the latter exhibiting significant variations near the critical frequencies of the device. Full article

This study exploited the skin temperature signal derived from a wrist-worn wearable device to define potential digital biomarkers for glycemia levels. Characterization of the skin temperature signal measured through the Empatica E4 device was obtained in 16 subjects (data taken from a dataset freely available on PhysioNet) by deriving standard metrics and a set of novel metrics describing both the current and the retrospective behavior of the signal. For each subject and for each metric, values that correspond to when glycemia was inside the tight range (70–140 mg/dL) were compared through the Wilcoxon rank-sum test against those above or below the range. For hypoglycemia characterization (below range), retrospective behavior of skin temperature described by the metric CV_{T SD} (standard deviation of the series of coefficient of variation) proved to be the most effective both in daytime and nighttime (100% and 50% of the analyzed subjects, respectively). On the other side, for hyperglycemia characterization (above range), differences were observed between daytime and nighttime, with current behavior of skin temperature, described by M2_T (deviation from the reference value of 32 °C), being the most informative during daytime, whereas retrospective behavior, described by SD_{T hhmm} (standard deviation of the series of means), showed the highest effectiveness during nighttime. Proposed variability features outperformed standard metrics, and in future studies, their integration with other digital biomarkers of glycemia could improve the performance of applications devoted to non-invasive detection of glycemic events. Full article

The skin microbiome is a focus for innovative skincare. This study investigated topical semi-solid balm formulations of Micrococcus luteus Q24, a live skin-native probiotic, to enhance skin quality parameters such as hydration, pores, pigmentation, wrinkles and dryness. Firstly, the compatibility and growth-promoting effects of prebiotics and functional actives on M. luteus Q24 were evaluated, identifying oil-based actives, including vitamin E and pomegranate seed oil, that significantly boosted bacterial growth compared to oatmeal, the sole effective prebiotic tested. Subsequently, a pilot cosmetic trial assessed two M. luteus Q24-enriched balms on healthy adults utilising a cutting-edge AI (Artificial Intelligence) driven skin analyser device. Balm B significantly reduced keratin levels, wrinkles, and pore size, and increased hydration, while Balm A effectively reduced spots and keratin. After 4 days of application, Balm A showed mean percentage reductions of 80% in pores, 20% in spots, 60% in wrinkles, and 100% in keratin scores, while Balm B exhibited mean percentage reductions of 100% in pores, 50% in spots, 67% in wrinkles, and 80% in keratin, with a 100% increase in hydration score. Both balms demonstrated compatibility and efficacy, highlighting the potential of M. luteus Q24 in improving skin parameters. These findings suggest that balms optimise the benefits of skin-specific probiotics for microbiome-friendly skincare. Future research with larger, placebo-controlled trials is needed to substantiate these preliminary findings. Full article

Genetic predisposition, environmental factors, lifestyle choices, and physical activity influence skin quality. Regular exercise has well-documented benefits for skin physiology, including enhanced microcirculation, improved collagen synthesis, oxidative stress reduction, and modulation of inflammatory pathways. However, individual responses to physical activity vary significantly, depending on skin type, age, fitness level, and environmental exposures. Recent advances in artificial intelligence (AI) offer new opportunities for tailoring exercise programs to meet individual skin health needs. Wearable sensors and smart fitness devices provide real-time data on physiological responses (e.g., heart rate, sweat rate, and oxidative stress) and environmental parameters (e.g., UV exposure and pollution levels). AI algorithms process this data to create dynamic, adaptive exercise routines designed to maximize skin benefits while minimizing potential harm (e.g., exercise-induced oxidative stress in sensitive skin types). This review synthesizes the current evidence on the skin benefits of exercise while exploring the emerging role of AI-driven personalized physical activity as a novel tool in cosmetic dermatology. Integrating AI into fitness planning, personalized, non-invasive skincare strategies may complement traditional topical and procedural approaches, representing a step forward in precision dermatology. Full article

Electronic skin (E-skin) refers to a portable medical or health electronic device that can be worn directly on the human body and can carry out perception, recording, analysis, regulation, intervention and even treatment of diseases or maintenance of health status through software support. Its main features include wearability, real-time monitoring, convenience, etc. E-skin is convenient for users to wear for a long time and continuously monitors the user’s physiological health data (such as heart rate, blood pressure, blood glucose, etc.) in real time. Health monitoring can be performed anytime and anywhere without frequent visits to hospitals or clinics. E-skin integrates multiple sensors and intelligent algorithms to automatically analyze data and provide health advice and early warning. It has broad application prospects in the medical field. With the increasing demand for E-skin, the development of multifunctional integrated E-skin with low power consumption and even autonomous energy has become a common goal of many researchers. This paper outlines the latest progress in the application of E-skin in physiological monitoring, disease treatment, human–computer interaction and other fields. The existing problems and development prospects in this field are presented. Full article

Skin microbiota plays a crucial role in host defense. Disruptions in this balance can lead to systemic infections. Colonization by pathogenic microorganisms significantly increases the risk of symptomatic infections, prolongs hospital stays and increases healthcare costs. In Romania, the widespread misuse of antibiotics in the community further complicates the management of bacterial resistance, emphasizing the need for proactive measures. Our institution implemented a comprehensive multi-body-site colonization screening protocol starting from January 2024 until June 2024. The screening targeted high-risk patients, including those in ICUs, Oncology, and Hematology Clinics, and individuals with prior hospitalizations, antibiotic use, or medical devices. This study aimed to investigate the prevalence of colonization by multidrug-resistant organisms upon hospital admission and assess the changes in colonization rates during hospitalization. Samples from nasal, axillary, inguinal, and rectal swabs were processed on specialized chromogenic media to detect multidrug-resistant organisms such as methicillin-resistant S. aureus (MRSA), ESBL-producing Enterobacterales, and carbapenemase-producing bacteria. During the first two trimesters of the year 2024, 1522 patients aged 14 to 99 years underwent multi-body-site colonization screening at the County Clinical Emergency Hospital Sibiu, Romania. A total of 18,993 samples were analyzed, yielding a diverse range of bacterial isolates. The most common results were Escherichia coli-ESBL-negative (3584 cases, 18.9%) and the KESC bacteria group (Klebsiella spp., Enterobacter spp., Serratia spp., and Citrobacter spp.)-MDR-negative (3435 cases, 18.1%). Conversely, positive results were less frequent, with Acinetobacter baumannii-MDR-positive results in 62 cases (0.3%), E. coli-ESBL-positive results in 342 cases (1.8%), and KESC group-MDR-positive results in 491 cases (2.6%). Other notable findings included Enterococcus faecium-VRE-positive (157 cases, 0.8%) and MRSA-positive nasal swabs (141 cases, 0.7%). Rare isolates included Enterococcus faecalis-VRE-positive (4 cases, 0.0%) and Proteeae group-MDR-positive (33 cases, 0.2%). Negative screening for MRSA was prevalent across nasal (1850 cases, 9.7%), inguinal (742 cases, 3.9%), and axillary swabs (1124 cases, 5.9%), with substantially lower positive rates. The diversity of swab types and their distribution across various clinics and departments underscores the broad diagnostic approaches and patient-care strategies adopted during the study. These findings highlight the need for tailored infection prevention strategies and continuous surveillance to mitigate the spread of multidrug-resistant organisms and enhance patient safety across diverse clinical environments. Full article

Background: Diabetic kidney disease (DKD), a severe chronic complication of diabetes, significantly impacts the quality of life and life expectancy of affected individuals. Meanwhile, advanced glycation end products (AGEs) are believed to play a central role in the pathogenesis of DKD. Skin autofluorescence (SAF) is a well-validated, noninvasive technique for the estimation of AGE levels in the dermis. Aims: This study aims to evaluate the correlation between SAF and DKD prevalence, as well as the association between SAF and renal function parameters, in patients with Type 2 Diabetes Mellitus (T2DM). Methods: This cross-sectional analysis included 1259 hospitalized T2DM patients. SAF was measured using a spectroscopy device. Logistic regression analysis, p-trend analysis, and restricted cubic spline were performed with the prevalence of DKD as the dependent variable. Multiple linear regression analyses were conducted to investigate the associations of SAF with renal function parameters, specifically the estimated glomerular filtration rate (eGFR) and the log-transformed albumin-to-creatinine ratio (ln(ACR)). Results: The prevalence of DKD was strongly associated with SAF rather than with glycosylated hemoglobin (HbA1c). For each arbitrary unit (AU) increase in SAF, DKD incidence rose by 1.6%. A significant stepwise increase in the odds ratio (OR) of DKD was observed across SAF quartiles. A dose-response relationship existed between SAF and the OR value of DKD. Additionally, SAF showed a linear correlation with eGFR and ln(UACR). For each AU increase in SAF, eGFR decreased by 0.14 mL/min/1.73 m², while UACR increased by 1.2%. Conclusions: Elevated SAF, rather than HbA1c, is independently associated with increased DKD prevalence and impaired renal function. Full article

Electronic skin (e-skin) is an innovative technology characterized by its flexibility, stretchability, and self-healing properties, designed to biomimic the functionalities of human or animal skin. This technology is well-suited for applications in robotics, prosthetics, and health monitoring since it can sense a wide range of tactile signals, such as humidity, pressure, temperature, and stress. Developing e-skin for wearable devices faces several challenges. One major challenge is the need for soft and stretchable electronic materials, as conventional materials are brittle. Furthermore, the development of skin-like hydrogel devices for wearable electronics faces challenges such as limited functionality, low ambient stability, poor surface adhesion, and relatively high power consumption. Innovation in this area has the potential to pay off. Organizations that invest in and develop innovative e-skin technologies based on biomimetic hydrogels can secure intellectual property rights through patents. This study is dedicated to reviewing the state of the art by presenting what has been patented concerning biomimetic-hydrogel-based e-skin. At the end, a section presents relevant patents to demonstrate the innovation and formulation of such hydrogels as biomimetic materials for e-skin applications. A market overview of e-skins is also presented. This contextualizes the significance of research in biomimetic-hydrogel-based e-skins within the broader commercial landscape. Full article

Cognitive rumination, a transdiagnostic symptom across mental health disorders, has traditionally been assessed through self-report measures. However, these measures are limited by their temporal nature and subjective bias. The rise in wearable technologies offers the potential for continuous, real-time monitoring of physiological indicators associated with rumination. This scoping review investigates the current state of research on using wearable technology to detect cognitive rumination. Specifically, we examine the sensors and wearable devices used, physiological biomarkers measured, standard measures of rumination used, and the comparative validity of specific biomarkers in identifying cognitive rumination. The review was performed according to the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) guidelines on IEEE, Scopus, PubMed, and PsycInfo databases. Studies that used wearable devices to measure rumination-related physiological responses and biomarkers were included (n = 9); seven studies assessed one biomarker, and two studies assessed two biomarkers. Electrodermal Activity (EDA) sensors capturing skin conductance activity emerged as both the most prevalent sensor (n = 5) and the most comparatively valid biomarker for detecting cognitive rumination via wearable devices. Other commonly investigated biomarkers included electrical brain activity measured through Electroencephalogram (EEG) sensors (n = 2), Heart Rate Variability (HRV) measured using Electrocardiogram (ECG) sensors and heart rate fitness monitors (n = 2), muscle response measured through Electromyography (EMG) sensors (n = 1) and movement measured through an accelerometer (n = 1). The Empatica E4 and Empatica Embrace 2 wrist-worn devices were the most frequently used wearable (n = 3). The Rumination Response Scale (RRS), was the most widely used standard scale for assessing rumination. Experimental induction protocols, often adapted from Nolen-Hoeksema and Morrow’s 1993 rumination induction paradigm, were also widely used. In conclusion, the findings suggest that wearable technology offers promise in capturing real-time physiological responses associated with rumination. However, the field is still developing, and further research is needed to validate these findings and explore the impact of individual traits and contextual factors on the accuracy of rumination detection. Full article

As an innovative branch of electronics, intelligent electronic textiles (e-textiles) have broad prospects in applications such as e-skin, human–computer interaction, and smart homes. However, it is still a challenge to distinguish multiple stimuli in the same e-textile. Herein, we propose a dual-parameter smart e-textile that can detect human pulse and body temperature in real time, with high performance and no signal interference. The doping of SWCNTs in PEDOT:PSS improves the electrical conductivity and Seebeck coefficient of the prepared composites, which results in excellent pressure and temperature-sensing properties of the PEDOT:PSS/SWCNTs/CS@PET-textile (PSCP) sensor. The dual-mode sensor has high sensitivity (32.4 kPa⁻¹), fast response time (~21 ms), and excellent durability (>2000 times) in pressure detection. Concurrently, this sensor maintains a high Seebeck coefficient of 25 μV/K in the 0–120 K temperature range with a tremendous linear relationship. Based on impressive dual-mode sensing characteristics and independent temperature-difference- and pressure-sensing mechanisms, smart e-textile sensors realize the real-time simultaneous monitoring of weak pulse signals and human body temperature, showing great potential in medical healthcare. In addition, the potential energy is excited by the temperature gradient between the human skin and the environment, which provides a novel idea for wearable self-powered devices. Full article