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Quantifying gait compensation in knee osteoarthritis using smartphone-based motion capture (OpenCap).

BACKGROUND: Knee osteoarthritis (KOA) is one of the most prevalent degenerative joint diseases, and its pathological features often lead to … onment. METHODS: A total of 33 KOA patients and 78 healthy control participants were enrolled. Two smartphones were used to record videos of participants walking along a flat path, and OpenCap was employed to calculate spatiotemporal gait parameters and 3D joint kinematics. Data were statistically analyzed to determine differences in gait features between K …

Smartphone application-based pulmonary rehabilitation in COPD: a multicentre randomised controlled trial.

BACKGROUND: Pulmonary rehabilitation (PR) is an essential element of chronic obstructive pulmonary disease (COPD) management. However, access to conventional face-to-face PR programmes is limited. METHODS: This multicentre, randomised controlled trial recruited patients with COPD from 18 sites in Germany and Switzerland, aiming to evaluate the impact of 12 weeks of a mobile app (intervention group; IVG) on quality of life, measured by COPD Assessment Test (CAT), and exercise capacity, assessed by 1-minute-sit-to-stand-test (1MSTST), compared with a control group (CTG) receiving 'enhanced stan

Diagnosis of microbial keratitis using smartphone-captured images; a deep-learning model.

BACKGROUND: Microbial keratitis (MK) poses a substantial threat to vision and is the leading cause of corneal blindness. The outcome of MK i … plores the application of deep learning (DL) in diagnosing and differentiating subtypes of MK using smartphone-captured images. MATERIALS AND METHODS: The dataset comprised 889 cases of bacterial keratitis (BK), fungal keratitis (FK), and acanthamoeba keratitis (AK) collected from 2020 to 2023. A convolutional neural network-based model was developed and tr …

Accuracy of smartphone photographs for detecting active carious lesions in orthodontic patients.

Advancements in digital media have driven the study and use of photographic records as a diagnostic method for carious lesions, with smartphone images being widely utilized across various health fields. This study aimed to evaluate the diagnostic accuracy of smartphone photography for detecting active caries in orthodontic patients. The sample comprised 100 individuals of both sexes, aged 11 to 46 years, who were undergoing fixed orthodontic treatment. Following professional tooth cleaning and drying, patients underwent a visual-tactile clinical examination for caries detection, which served a…

Development of a metabolic syndrome prediction model using smartphone-derived digital anthropometry.

Integrating metabolic syndrome (MetS) screening procedures into routine care remains challenging. Traditional anthropometric and body composition assessments, while useful, have drawbacks that limit their application. However, automated anthropometrics produced from smartphone scanning applications may offer a solution. This study aimed to determine whether smartphone-derived anthropometrics could effectively predict both MetS and its severity. A total of 281 participants underwent a MetS screening assessment to determine fasting blood pressure, lipids, glucose and waist circumference and comp…

Episodic Migraine Pain Curves: Real-Time Smartphone-Based Analysis and Clinical Implications.

PURPOSE: Migraine involves a wide range of symptoms, with pain being one of the most prominent and disabling. While the ICHD-3 provides a we … characteristics across the previously identified subgroups. Patients met ICHD-3 criteria and used a smartphone app for real-time data collection on migraine parameters, including onset, pain duration and intensity, symptoms, triggers, and treatment responses. The aim was to identify differences across subgroups in these variables. RESULTS: The study include …

Screens and brains: multimodal neuroimaging insights into mechanisms of problematic smartphone use.

BACKGROUND: Problematic smartphone use (PSU) is increasingly regarded as a form of behavioral addiction, marked by compulsive engagement and diminished self-regulation. An expanding body of evidence points to distinct neural correlates of PSU, including heightened sensitivity to smartphone-related cues, aberrant reward processing, and executive dysfunction. OBJECTIVES: This systematic review synthesizes contemporary evidence from multimodal neuroimaging studies that seek to elucidate the neurobiological substrates of PSU. To unify and contextualize these findings, a social-cognitive framework…

Smartphone-based prediction of dopaminergic deficit in prodromal and manifest Parkinson's disease.

Dopamine transporter (DaT) SPECT can confirm dopaminergic deficiency in Parkinson's disease (PD) but remains costly and inaccessible. We investigated whether brief smartphone-based motor assessments could predict DaT scan results as a scalable alternative. Data from Oxford and Genoa cohorts included individuals with iRBD, PD, and controls. Machine learning models trained on smartphone-derived features classified DaT scan status and predicted striatal binding ratios, compared with MDS-UPDRS-III benchmarks. Among 100 DaT scans, the smartphone-only XGBoost model achieved AUC = 0.80, improving to …

Water-Responsive Xerogel-Based Flood Alarm Device Utilizing Smartphone Electrogenerated Chemiluminescence Imaging.

The global incidence of flash floods has increased, leading to fatalities and significant economic losses. Hence, the development of cost-effective, timely, and efficient flood early warning systems holds significant economic and social value. In this work, a flash flood alarm device was fabricated that employed water-responsive xerogel as a core material and utilized smartphone electrogenerated chemiluminescence (ECL) imaging as the detecting technique. The water-responsive ECL xerogel was derived from the drying process of a conductive ECL hydrogel, where the conductive ECL hydrogel material…

Pediatric Joint Inflammation Detection Using Smartphone-Based Infrared Thermography: A Prospective Study.

This study evaluated the potential of smartphone-based infrared thermography for detecting joint inflammation in pediatric patients with rheumatic diseases. The patient group (M/F: 19/21) had a mean age of 10.98 ± 5.02 years, while the control group (M/F: 19/10) had a mean age of 11.69 ± 4.89 years. Thermal analysis revealed significantly higher T-max and T-ave temperatures in arthritis patients compared to healthy controls. For affected knees, T-max was 34.25 ± 1.34°C versus 32.70 ± 1.14°C in unaffected knees (P = .002). Logistic regression showed that each 1°C increase in knee T-ave increase…

Smartphone Haptics For Tactile Temporal Discrimination: Preliminary Insights into Measurement of Function.

People can distinguish between consecutive tactile stimuli separated by an inter stimulus time interval (ISI). This human function plays a role in sensing finger position, recognizing symbols drawn on skin, identifying 3-D objects, and differentiating between textures. Various conditions, such as multiple sclerosis (MS), impede this function. Tactile temporal discrimination thresholds (TDTs) can be used to assess this function. Establishing TDTs via smartphones would enable a new accessible way of measuring this hand functionality metric at home. This pilot study offers a new method to obtain …

Тесты смартфона на почту и дрейфа пронатора как показатели неврологической неполноценности.

Пандемия COVID-19 и возросший спрос на нейрологов вдохновили на создание дистанционных цифровых тестов неврологических функций. В рамках этого исследования изучаются два теста на смартфоне Neurological Facto Tests Suite (NeuFun-TS), Postural Sway и Pronator Drift. Эти тесты охватывают различные области посттравматического контроля и двигательной дисфункции у здоровых добровольцев (n = 13) и людей с неврологическими расстройствами (n = 68 релапсирующих множественных склерозов [MS]; n = 21 вторичный прогрессивный MS; n = 23 первичных прогрессивных MS; n = 13 других подстрекательских неврологичес

Совпадение в аннотации оригинала
The COVID-19 pandemic and increased demands for neurologists have inspired the creation of remote, digitalized tests of neurological functions. This study investigates two tests from the Neurological Functional Tests Suite (NeuFun-TS) smartphone application, the "Postural Sway" and "Pronator Drift" tests. These tests capture different domains of postural con…

Integrating artificial intelligence with smartphone-based imaging for cancer detection in vivo.

Cancer is a major global health challenge, accounting for nearly one in six deaths worldwide. Early diagnosis significantly improves survival rates and patient outcomes, yet in resource-limited settings, the scarcity of medical resources often leads to late-stage diagnosis. Integrating artificial intelligence (AI) with smartphone-based imaging systems offers a promising solution by providing portable, cost-effective, and widely accessible tools for early cancer detection. This paper introduces advanced smartphone-based imaging systems that utilize various imaging modalities for in vivo detecti…

A smartphone-based multichannel magnetoelastic immunosensor for acute aortic dissection supplementary diagnosis.

Some biomarkers of acute aortic dissection (AAD) can be used for the potential supplementary diagnosis of AAD, such as C-reactive protein (CRP), smooth muscle myosin heavy chain (SmMHC), and D-dimer (D-D). However, the current measurement methods for common markers primarily rely on sophisticated instruments. The operation process is complicated, and the reagents used are expensive. To provide chronic disease monitoring and home self-examination services for potential AAD patients in real time, we developed a smartphone-based multichannel magnetoelastic (ME) immunosensing device to detect prot…

Unsupervised Gait Assessments of Stroke Patients Using a Smartphone and Machine Learning.

Home-based rehabilitation is a trend of post-stroke lower limb rehabilitation, aimed at a long-term and higher dose of therapy. Unsupervised gait assessments can help therapists to track patients' recovery progress and timely adjust rehabilitation interventions. This study aims to develop a smartphone-based wireless system for unsupervised gait assessments of stroke patients. The proposed system is based on smartphone motion sensors and uses machine learning approaches to interpret the gait features. We characterized the ability of the proposed system to extract gait features and detect abnorm…

Smartphone-Facilitated In-Situ Hearing Aid Audiometry for Community-Based Hearing Testing.

OBJECTIVES: Hearing loss prevalence is increasing, with an estimated 2.5 billion people affected globally by 2050. Scalable service delivery models using innovative technologies and task-shifting are World Health Organization priorities to improve access to hearing care, particularly in low- and middle-income countries. Smartphone-facilitated audiometry in the community using hearing aids covered by noise-attenuating ear cups ("in-situ") could support more accessible hearing care when provided by less trained individuals such as community health workers (CHWs). This study aimed to determine th…

Improving Gait Analysis Techniques with Markerless Pose Estimation Based on Smartphone Location.

Marker-based 3D motion capture systems, widely used for gait analysis, are accurate but have disadvantages such as cost and accessibility. Whereas markerless pose estimation has emerged as a convenient and cost-effective alternative for gait analysis, challenges remain in achieving optimal accuracy. Given the limited research on the effects of camera location and orientation on data collection accuracy, this study investigates how camera placement affects gait assessment accuracy utilizing five smartphones. This study aimed to explore the differences in data collection accuracy between marker-…

Does smartphone use encourage farmers to participate in centralized household waste disposal?

The centralization of household waste disposal represents a significant stride toward achieving ecological viability in rural China. This initiative can substantially alleviate the grassroots government's burden of managing rural household waste. The proliferation and utilization of smartphones, a powerful tool that can expedite and reduce the cost of imparting environmental protection knowledge to producers, is a beacon of hope in the fight against waste. This article, utilizing Probit modeling and micro-survey data from 2126 agricultural households in China, examines the effect of smartphone…

Smartphone Google Location History: A Novel Approach to Outdoor Physical Activity Research.

BACKGROUND: Outdoor physical activity (PA) is an important component of overall health; however, it is difficult to measure. Passively collected smartphone location data like Google Location History (GLH) present an opportunity to address this issue. OBJECTIVES: To evaluate the use of GLH data for measuring outdoor PA. METHODS: We collected GLH data for 357 individuals from the Washington State Twin Registry. We first summarized GLH measurements relevant to outdoor PA. Next, we compared accelerometer measurements to GLH classified PA for a subset of 25 participants who completed 2 weeks of g…