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Wearable Smartphone-Based Multisensory Feedback System for Torso Posture Correction: Iterative Design and Within-Subjects Study.

BACKGROUND: The prevalence of stroke is high in both males and females, and it rises with age. Stroke often leads to sensor and motor issues, such as hemiparesis affecting one side of the body. Poststroke patients require torso stabilization exercises, but maintaining proper posture can be challenging due to their condition. OBJECTIVE: Our goal was to develop the Postural SmartVest, an affordable wearable technology that leverages a smartphone's built-in accelerometer to monitor sagittal and frontal plane changes while providing visual, tactile, and auditory feedback to guide patients in achi…

Dual-mode smart sensing of sarcosine by integrating nanozyme-mediated electrochemical and smartphone-readable colorimetric assays.

Sarcosine (Sar) detection plays a crucial role in the diagnosis and management of prostate cancer. We developed a dual-mode biosensing platform for the highly sensitive and specific quantification of Sar by integrating electrochemical and colorimetric detection. The sensor was fabricated using a nanocomposite consisting of riboflavin (Rf) and reduced graphene oxide nanoribbons (rGONRs), which served as a support for a bimetallic TCPP(Fe)-Zn metal-organic framework (MOF). The rGONRs significantly increased the active surface area and facilitated electron transfer, thereby enhancing the peroxida

Smartphone-supported Positive Adjustment Coping Intervention (PACI) for couples undergoing fertility treatment: A randomised controlled trial.

BACKGROUND: Couples undergoing fertility treatment experience emotional stress. Meta-analyses show heterogeneous results regarding the effectiveness of psychosocial interventions on anxiety and depression. OBJECTIVE: The aim of this study was to reduce psychosocial stress (anxiety, depression) in infertile patients. In addition, pregnancy rates and perceived distraction as well as perceived subjective relief were determined. METHODS: In a two-arm RCT we used "Positive Adjustment Coping Intervention (PACI)". Participants received the first of 13 daily text messages on their smartphones on the…

Clinical Validation of Smartphone-Enabled Pulse Oximetry for Objective Pulp Vitality Assessment: A Diagnostic Accuracy Study.

INTRODUCTION: Pulse oximetry exhibits great potential for use in endodontic diagnosis as an effective method to assess pulp vitality. Cell p … IP, or PN and compared to vitality diagnosis by %SpO2 obtained by both pulse oximeters: PO1 and by smartphone-based (PO2). For each affected tooth, 2 additional teeth (adjacent and contralateral) with HP were tested. Statistical analysis was performed using one-way ANOVA with Tukey's post-hoc test. RESULTS: The mean %SpO2 values measured by PO1 were 87.7% …

Ultra-short-term heart rate variability using a photoplethysmography-based smartphone application: a TeleCheck-AF subanalysis.

AIMS: Autonomic nervous system activation plays an important role in the pathophysiology of atrial fibrillation (AF). It can be determined using heart rate variability (HRV). We aimed to evaluate the feasibility of using photoplethysmography (PPG) recordings for the assessment of the ultra-short-term HRV. METHODS AND RESULTS: TeleCheck-AF is a structured mobile health approach, comprising the on-demand use of a PPG-based smartphone application prior to a scheduled teleconsultation to ensure comprehensive remote AF management. Participants with at least one PPG recording in sinus rhythm were i…

Low-Burden Detection of Clinical Worsening in Body Dysmorphic Disorder Using Smartphone Sensor and Demographic Data.

Body dysmorphic disorder (BDD) is characterized by distressing preoccupations with perceived appearance flaws, leading to functional impairment and suicidal ideation (SI). Traditional approaches for monitoring clinical deterioration in BDD include self-reports and clinician assessments, which can miss acute changes in risk due to infrequent administration and recall biases. Alternatively, real-time monitoring via smartphones and wearable devices can enable low-burden early detection of deterioration, identifying intervention opportunities before someone's condition critically worsens. This stu…

Smartphone-based intelligent system with a wearable throat microphone for real-time screening of swallowing ability.

OBJECTIVES: Accurate and timely swallowing ability screening is essential for effective prevention and treatment of dysphagia. Current clinical imaging methods are often radioactive or invasive, limiting their applicability for routine monitoring. This study aims to develop a smartphone-based intelligent system for real-time screening of swallowing ability using a wearable throat microphone. METHODS: First, a customized Android application was developed to collect, visualize, and analyze sounds related to swallowing from a wearable throat microphone. Second, a transfer learning model, YAMNet-…

Efficient detection of SARS-CoV-2 IgG by a smartphone-based high-throughput fiber optic sensor.

The World Health Organization has indicated that Severe Acute Respiratory Syndrome Coronavirus type 2 (SARS-CoV-2) is likely to persist for an extended period, with the potential emergence of new mutated strains. To effectively control the spread of the virus, there is an urgent need for simple, rapid, and reliable assays to identify SARS-CoV-2 infections, particularly in community hospitals or clinical centers. This study introduces a smartphone-based high-throughput fiber-optic immunosensor (HFIS) for rapid SARS-CoV-2 IgG detection. The system significantly improves upon existing methods by …

Detecting spatiotemporal clusters of tobacco and cannabis use and co-use to inform smartphone-based interventions.

Co-use of tobacco and cannabis poses adverse health consequences. Few studies have incorporated spatial analysis into smartphone-based assessments of co-use. This study aims to detect patterns of tobacco and cannabis co-use to inform the delivery of tailored interventions. We analyzed data from 30 young adults aged 18-30 in Northern California who used both tobacco and cannabis. Substance use/nonuse events were collected on participants' smartphones via geographic ecological momentary assessment over 30 days. Substance use events were categorized as tobacco use, cannabis use, or co-use and ana…

Характеристика походки у людей с множественным склерозом с использованием цифровых данных с смартфонов: предлагаемая основа.

ОКРУЖАЮЩАЯ СРЕДА: Оценка мобильности имеет важнейшее значение для мониторинга развития заболеваний у людей с множественным склерозом (PwMS). Такие технологии, как износимые датчики, демонстрируют потенциал для этой цели, однако для оптимизации сбора и интерпретации цифровых мер в PwMS необходим консенсус. ЦЕЛЬ: предложить рамки для измерения и толкования ключевых аспектов поврежденной походки в PwMS с использованием смартфона, износившегося на уровне талии. МЕТОДЫ: Рамочная основа была разработана на основе клинического понимания и знаний в области обработки сигналов датчиков и подкреплена сис

Совпадение в аннотации оригинала
BACKGROUND: Mobility assessment is essential for monitoring disease progression in people with multiple sclerosis (PwMS). Technologies such … To propose a framework for measuring and interpreting key aspects of impaired gait in PwMS using a smartphone worn at the waist level. METHODS: The framework was developed on the basis of clinical understanding and knowledge of sensor signal processing, supported by a systematic literature review (SLR). The SLR targeted articles published after 2011 that m …

Nanozyme-based colorimetric and smartphone imaging advanced sensing platforms for tetracycline detection and removal in food.

The presence of antibiotic residues poses a significant threat to food assurance, triggering widespread concerns. Therefore, the prompt and … ccessibility and user-friendliness, we also designed a colorimetric testing paper integrated with a smartphone application for intuitive and intelligent detection of TET, which enables the quantitative determination of TET in the concentration range of 0.003-60 μM, the detection limit was 5.1 μM. This integrated portable sensor not only streamlines the testi …

Emotional and Behavioural Factors Predisposing to Internet Addiction: The Smartphone Distraction among Italian High School Students.

In a digitally oriented society, smartphones provide continual online accessibility to daily life while simultaneously predisposing adolescents to engage in prolonged connections for various purposes, thus escalating the risk of Internet addiction (IA). Cognitive processes such as multitasking and attentional shifting are frequently associated with smartphone activities. Additionally, online engagements may serve as emotional strategies for regulating negative states (e.g., boredom and distress), redirecting attention towards more gratifying activities, such as social media contents. This stud…

Feasibility of Observing Cerebrovascular Disease Phenotypes with Smartphone Monitoring: Study Design Considerations for Real-World Studies.

Accelerated by the adoption of remote monitoring during the COVID-19 pandemic, interest in using digitally captured behavioral data to predict patient outcomes has grown; however, it is unclear how feasible digital phenotyping studies may be in patients with recent ischemic stroke or transient ischemic attack. In this perspective, we present participant feedback and relevant smartphone data metrics suggesting that digital phenotyping of post-stroke depression is feasible. Additionally, we proffer thoughtful considerations for designing feasible real-world study protocols tracking cerebrovascul…

Target-user preferences, motivations, and acceptance for a dialectical behaviour therapy smartphone application for eating disorders.

PURPOSE: Evidence shows that dialectical behavioural therapy (DBT) is efficacious for eating disorders (ED), yet few people have access to specialized treatments like DBT. Translating key DBT skills for delivery via a smartphone application may broaden the dissemination of evidence-based interventions. However, prior to developing a DBT-based app, it is crucial to gather information on target-user needs and preferences. Assessing overall acceptance and identifying predictors of acceptance, informed by the UTAUT framework, is also important. This process ensures not only a demand for such an ap…

3D-printed portable device for illicit drug identification based on smartphone-imaging and artificial neural networks.

In this manuscript, a 3D-printed analytical device has been successfully developed to classify illicit drugs using smartphone-based colorimetry. Representative compounds of different families, including cocaine, 3,4-methylenedioxy-methamphetamine (MDMA), amphetamine and cathinone derivatives, pyrrolidine cathinones, and 3,4-methylenedioxy cathinones, have been analyzed and classified after appropriate reaction with Marquis, gallic acid, sulfuric acid, Simon and Scott reagents. A picture of the colored products was acquired using a smartphone, and the corrected RGB values were used as input dat…

Accurate detection of gait events using neural networks and IMU data mimicking real-world smartphone usage.

Wearable technologies such as inertial measurement units (IMUs) can be used to evaluate human gait and improve mobility, but sensor fixation is still a limitation that needs to be addressed. Therefore, aim of this study was to create a machine learning algorithm to predict gait events using a single IMU mimicking the carrying of a smartphone. Fifty-two healthy adults (35 males/17 females) walked on a treadmill at various speeds while carrying a surrogate smartphone in the right hand, front right trouser pocket, and right jacket pocket. Ground-truth gait events (e.g. heel strikes and toe-offs) …

Biomechanical Gait Analysis Using a Smartphone-Based Motion Capture System (OpenCap) in Patients with Neurological Disorders.

This study evaluates the utility of OpenCap (v0.3), a smartphone-based motion capture system, for performing gait analysis in patients with neurological disorders. We compared kinematic and kinetic gait parameters between 10 healthy controls and 10 patients with neurological conditions, including stroke, Parkinson's disease, and cerebral palsy. OpenCap captured 3D movement dynamics using two smartphones, with data processed through musculoskeletal modeling. The key findings indicate that the patient group exhibited significantly slower gait speeds (0.67 m/s vs. 1.10 m/s, p = 0.002), shorter st…

Smartphone-based point-of-care photoelectrochemical immunoassay coupling with ascorbic acid-triggered photocurrent-polarity conversion switching.

Photocurrent-polarity conversion strategies are typically realized by constructing complex photovoltaic electrodes or changing the relevant … n prove the reliability of the constructed PEC biosensor. Importantly, this work relies on a mobile smartphone wireless Bluetooth device coupled with the PEC biosensor for immediate detection, providing another idea for detecting CEA in clinical diagnosis.

A Comparative Analysis of Smartphone and Standard Tools for Touch Perception Assessment Across Multiple Body Sites.

Tactile perception plays an important role in activities of daily living, and it can be impaired in individuals with certain medical conditions. The most common tools used to assess tactile sensation, the Semmes-Weinstein monofilaments and the 128 Hz tuning fork, have poor repeatability and resolution. Long term, we aim to provide a repeatable, high-resolution testing platform that can be used to assess vibrotactile perception through smartphones without the need for an experimenter to be present to conduct the test. We present a smartphone-based vibration perception measurement platform and c…