Articles tagged with Smartphones
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Researchers have developed an app that uses a smartphone camera and photoplethysmography signal to detect diabetes, showing promise for early detection and encouraging further testing by healthcare providers. The app was tested on over 54,000 individuals and correctly identified people with diabetes in over 72% of cases.
Researchers propose using smartphones for disease diagnosis, testing, and treatment in low-income countries like sub-Saharan Africa. Simple testing technologies can be linked into a phone via USB or wirelessly, allowing people to test themselves at home.
Researchers found that 94% of recent authentication systems have flaws in their reported performance metrics, leading to potential security consequences. A novel solution proposes combining two metrics to measure the success of user login systems.
A special issue of WORK: A Journal of Prevention, Assessment & Rehabilitation explores the dynamics between work and pain. The study found that presenteeism, repetitive work, and job stress are linked to chronic pain, with psychological symptoms intensifying physical ones.
Researchers at the University of Missouri have developed smartphone-based technologies that can monitor civil infrastructure systems such as crumbling roads and aging bridges. By using various sensors on smartphones, they can determine the specific makeup and deterioration of a road's surface in real-time.
A growing body of research suggests that smartphones can negatively impact face-to-face social interactions, leading to feelings of ignored, annoyed, or pushed away. The constant access to text messaging and social media makes it easier for people to disclose personal information and respond to others in their large social networks.
Research from Anglia Ruskin University found that calibrated smartphone cameras can significantly improve accuracy in eye examinations. The study used three smartphones and compared results to clinician diagnoses, highlighting the importance of camera calibration for telemedicine and AI applications.
The interoperable Artificial Pancreas System smartphone app has shown improved time in the target glucose range and a statistically significant reduction in time below 70mg/dL. The study suggests that this system could provide personalized care for patients with diabetes, offering flexibility and convenience.
A new smartphone software system can quickly detect early signs of opioid overdoses through acoustic signals and breathing patterns. The technology holds potential as a cost-effective tool for prompt medical intervention in cases where timely action is crucial.
Scientists at University of Gættingen have developed an environmentally friendly strategy for drug and pesticide production, leveraging the properties of naturally occurring non-toxic metal manganese. The new approach reduces waste and uses water instead of toxic solvents.
Researchers at the University of Tokyo have developed a cuttable wireless power transfer sheet that can charge devices wirelessly and be molded or cut to fit different shapes. The innovative technology offers a potential solution for emerging fields like robotics and could lead to untangled cables and versatile charging solutions.
Researchers have developed a neural network that can accurately detect age and gender from video frames, outperforming existing convolutional neural networks. The new method aggregates confidence levels using mathematical statistics and Dempster-Shafer theory, enabling the detection of age and gender with improved accuracy.
The UrFU-developed system utilizes neuro-electrostimulation and AI to treat various brain disorders, including strokes, Alzheimer's, Parkinson's, and more. It has shown remarkable results in clinical trials, bringing patients out of vegetative states and restoring mental and emotional activity.
A new smartphone app uses fingernail photos to detect anemia with high accuracy, offering a non-invasive alternative to traditional blood tests. The app was developed by a biomedical engineer who lives with beta-thalassemia and aims to facilitate self-management for patients with chronic anemia.
Research finds that mobile payment adoption leads to increased total transaction amounts and frequencies, affecting traditional channels. The study also reveals that the mobile channel substitutes for offline payments and complements online transactions.
Nurses can collect and analyze data using smartphone applications, leading to improvements in data quality and better health outcomes for patients with HIV/AIDS. A larger selection of apps is needed to scale up mHealth innovations and combat the pandemic.
A portable device that can screen for cervical cancer using a smartphone has been developed by researchers at the University of Arizona. The device is estimated to be less than $3,000 and can analyze images automatically, recommend treatment, and identify potentially cancerous areas. Its affordability, portability, and ease of use make...
A new framework, EnfPire, is proposed to preserve users' privacy when using photo-based information services. The framework successfully abstracts location information and returns a set of candidates to the user, who compares them with the original feature using a simple recognizer.
A new study found that a smartphone app can identify potentially fatal heart attacks with high accuracy, similar to a standard 12-lead ECG. The app's speed and accessibility could significantly improve treatment times and save lives.
A research team led by M. Kit Delgado will investigate strategies to reduce cell phone use while driving, including smartphone-based 'nudges' and usage-based insurance programs. The goal is to develop insights on how safe driving discounts could be redesigned to reward safer drivers with lower insurance premiums.
Researchers developed a smartphone app to help people with OCD manage their symptoms, reducing obsessive thoughts and compulsive behaviors. After just one week of using the app, participants showed significant improvements in cognitive flexibility and reductions in OCD symptoms.
Researchers at Cornell University developed a tool that tracks alertness using smartphone cameras, capturing pupil size through photographs taken every time the device is unlocked. This non-invasive method reliably predicts alertness levels.
A new study by Yale researchers found that brand cache plays a significant role in extending smartphone lifespans, with iPhones lasting up to 67 months compared to Samsung phones' 54.5 months. The study analyzed over 500,000 secondhand phone listings on eBay and found that Apple's brand reputation contributes to its longer lifespan.
Researchers found that frequent media multitaskers were more likely to rate an interviewee as less conscientious when in a messy room, regardless of the video subject's environment. Media multitasking affects how people perceive their surroundings and form impressions of others.
A new study found that nurses face significant challenges in adopting healthy behaviors, with only a few percent meeting physical activity guidelines and eating a balanced diet. The research highlights the need for workplace programs tailored to individual motivation and readiness to change.
The CREDO project, a global particle detector using smartphones, has started collecting scientific data. Researchers have detected deviations from expected distributions in the raw data, which may indicate interactions between high-energy particles and space-time.
Researchers have created a low-cost smartphone system using nano-colorimetry and dark-field microscopy to detect lead in tap water. The system can identify concentrations as low as 5 parts per billion, posing a significant risk to health, especially for young children.
Researchers at IMDEA Networks Institute are exploring a novel 'DisCoEdge' system to optimize device usage and create new services. The system aims to spread heavy computational tasks and large storage over simple devices, enabling novel applications like cooperative data sharing and corporate storage systems.
A new cell phone app and lab kit enable a smartphone to identify bacteria from patients anywhere in the world, leading to faster recovery and lower treatment costs for patients. The test uses a smartphone's camera to measure a chemical reaction and determines a diagnosis in about an hour.
A study by Indiana University sociologist Jessica Calarco found significant gaps in the quality and reliability of technology owned by college students. Students from low-income families and students of color were more likely to experience issues with their devices, leading to stress and negatively impacting academic performance.
Engineers at the University of British Columbia have developed a new ultrasound transducer that could lower costs to as low as $100. The device uses tiny vibrating drums made of polymer resin, reducing manufacturing costs.
A large-scale analysis of mobile app data found that users in English-speaking countries have higher app usage due to widespread English language versions and dedicated apps. Socio-economic factors such as occupation, education, and savings also play a significant role in determining app usage.
Researchers at the University of Otago have developed a new approach to achieve centimeter-level precise positioning on smartphones using a combination of signals from four different GNSSs. This technology has the potential to revolutionize applications requiring accurate location information, such as precise car navigation and surveying.
A smartphone application has been shown to effectively screen for atrial fibrillation, with a verification process that can be downsized or omitted. The study found that approximately 225 people would need to be screened to detect one new case, making this technology an attractive option for widespread screening.
Researchers at Tel Aviv University have developed a system to harness data from smartphones to forecast weather patterns, particularly those that lead to flash floods. The smartphone sensors can monitor various atmospheric conditions, such as temperature, humidity, and light levels, providing valuable data for accurate forecasts.
A new RAND Corporation report suggests that smartphone apps could improve medical record matching by allowing patients to participate in the process. The study found that mobile phones and smartphones offer a promising approach to ensure accurate record matching, but development and testing are needed.
Researchers have developed printable metal tags that reflect WiFi signals, turning everyday objects into 'smart' Internet of Things devices. These tags can be attached to various objects and track user interactions, such as water bottle hydration levels or motor activity after a stroke.
Researchers developed an app to reduce device brightness and extend battery life by 10-25%, eliminating excessive energy consumption and prolonging battery lifespan.
Researchers developed a smart wristband that can monitor personal health by counting blood cells, bacteria, and air particles. The device sends data wirelessly to an Android smartphone for processing and analysis, enabling rapid diagnosis of illnesses and tracking of environmental exposures.
Dr. Guofei Gu's research team analyzed 10,000 mobile apps and found widespread inconsistencies in web API implementations that can lead to attacks compromising user security and privacy. The WARDroid framework uses static analysis and HTTP request monitoring to identify vulnerabilities.
Scientists developed a wireless tagging device that detects spoiled food using NFC labeling tags and smartphone signals. The sensor can detect biogenic amines, giving decomposing meat its bad odor, and transmits this information to nearby smartphones.
Researchers at UT Austin designed a new nerve gas detector combining chemical sensors and photography, identifying different nerve agents through color and brightness variations. The device is portable, inexpensive, and adjustable, providing critical information for first responders and scientists in the field.
A 1,200-year-old parchment fragment from the 'Admonter Abrogans' is being presented in a special exhibition at Admont Abbey, featuring high-resolution images and translations. The MEETeUX project aims to develop digital forms of exhibition design for accessible user experience, utilizing smartphones, touch screens, and virtual reality.
The CREDO Detector app allows users to contribute to the largest particle detector in history, exploring fundamental physics questions like dark matter and spacetime nature. By registering and initiating particle detection, users can gain co-authorship and membership in the international collaboration.
The EVIDENT II trial found that using a healthy lifestyle smartphone app improved arterial hardness, indicating delayed ageing and lower risk of atherosclerosis. The app group showed better results in modifying their diet composition, with higher carbohydrate intake and lower fat content.
New research shows that using a smartphone app or singing the song 'La Macarena' improves the quality of chest compressions during CPR. The study found that both methods increased the proportion of adequate rate, but not depth, of compressions.
Aalto University researchers found Nokia's radical strategic renewal was fueled by a culture shift led by the new board, which increased trust and encouraged data-driven decision-making. By presenting multiple options, top managers became less emotionally attached to their initial strategies.
A new smartphone app has been shown to be equally effective in treating people with schizophrenia, bipolar disorder, and major depression as traditional clinical interventions. The app, called Focus, had a significantly better rate of treatment engagement and was more convenient for patients.
Researchers developed a new display technology that uses crystalline silicon film growth at lower temperatures, potentially replacing existing processes. This innovation has the potential to increase efficiency and luminance while lowering production costs for electronic devices like solar cells.
Over 65s value technology to aid medication adherence, but prioritize familiarity and ease of use. Concerns include data security, dependence on tech, and consequences of failures.
A smartphone video-based app substitutes for in-person daily visits required for tuberculosis treatment, with patients showing similar adherence rates as traditional DOT. The app offers a more private and cost-effective option for monitoring medication intake, but further research is needed to assess its full impact.
A new study finds that telemedicine can offer aid to people hit by hurricanes Harvey and Irma by providing routine medical care in the days following the disaster. The top diagnosis during this time included acute respiratory illnesses and skin problems, similar to national trends.
Researchers have developed a low-cost, portable laboratory on a phone that works nearly as well as clinical laboratories to detect common viral and bacterial infections. The device was tested with 771 patient samples and found to be accurate in detecting 12 common diseases such as mumps, measles, herpes, and Lyme Disease.
A randomized clinical trial found that smartphone app use improved self-reported medication adherence, but not systolic blood pressure, among participants with poorly controlled high blood pressure. The study used the Medisafe app and lasted 12 weeks.
Researchers at UCLA Samueli School of Engineering have demonstrated that deep learning can enhance microscopic details in photos taken by smartphones, approaching the quality of laboratory-grade microscopes. This technique could bring high-quality medical diagnostics to resource-poor regions, using inexpensively produced attachments.
A new study published in NeuroRegulation found that smartphone overuse is associated with higher levels of loneliness, anxiety and depression. The study suggests strategies such as turning off push notifications, scheduling focused work periods and engaging in face-to-face interactions to combat digital addiction.
Researchers developed a smartphone app to generate an objective score that reflects symptom severity in patients with Parkinson's disease. The app uses machine learning and existing smartphone components to collect data on movement, speech, and daily tasks.
A new smartphone app developed by animal welfare experts will support vital work in clinics caring for stray dogs worldwide. The app enables staff to track the wellbeing of dogs during catch-neuter-return processes, spotting signs of distress and developing strategies to improve care.
A randomized clinical trial found a smartphone application to have a 94% diagnostic accuracy for assessing blood flow in wrist arteries, surpassing the traditional Allen test. The study highlights the potential of smartphone applications to aid physicians in making decisions at the bedside.
A study by the University of Jyväskylä found that Finnish drivers use their smartphones extensively while driving, with WhatsApp being the most heavily used app. Heavier users even increase their phone use in dense traffic, highlighting a lack of moderation among some drivers.