Wearable Devices

The goal of this clinical trial is to compare the accuracy, clinical applicability, and usability of different wearable blood pressure monitoring methods integrated in wearable devices, such as smartwatches, in hospitalized patients. The study evaluates novel photoplethysmography (PPG)-based and wrist-oscillometric blood pressure measurement methods against established clinical reference methods (upper-arm cuff measurements on the general ward and invasive arterial blood pressure monitoring (A-line) in the intensive care unit). The main questions the study aims to answer are: * Can novel blood pressure monitoring methods suitable for integration into wearable devices achieve clinically acceptable agreement with established reference measurements? * How does the performance of calibration-dependent wearable devices change over time following calibration? * How does the performance of the investigated methods compare with each other? * How do the investigated methods perform for patients with different pre-existing conditions ? To answer these questions, participants will undergo: * blood pressure measurements using different wearable devices based on PPG and wrist oscillometry * standardized reference blood pressure measurements using an upper-arm cuff (general ward) or an existing invasive arterial line (intensive care unit) * repeated measurements over three consecutive days on the general ward to assess calibration stability and measurement reproducibility,

Unsafe patient care remains a major contributor to global morbidity and mortality. In surgical wards, postoperative patients are typically monitored intermittently using the National Early Warning Score (NEWS-2), leaving periods during which clinical deterioration may go undetected. Continuous vital sign monitoring (CVSM) using wearable sensors offers the potential for earlier identification of deterioration compared with intermittent assessments. CVSM was introduced in a hospital ward as part of a hospital-initiated pilot implementation and is used alongside standard monitoring with NEWS-2. The purpose of the study is to evaluate this implementation. This observational study uses a pragmatic, quasi-experimental, multi-method, longitudinal design. The overall aims of the study are to evaluate the impact of CVSM implementation on patient outcomes, to explore healthcare professionals' perceptions of patient safety culture, turnover intention and pleasure of work, and to describe their experiences with implementation.

Type 2 diabetes (T2D) and obesity are two of the most common chronic conditions worldwide, and they frequently occur together. Both conditions are closely linked to physical inactivity, which is currently recognized as a major risk factor for a wide range of diseases. Although structured exercise programs have shown benefits for people living with these conditions, maintaining long-term participation remains a significant challenge. The rise of mobile health (mHealth) technologies - such as smartphone apps and wearable devices - offers a promising new way to support people in becoming and staying more physically active. This study aims to compare the effects of two different 20-week exercise intervention programs versus standard medical care in adults aged 30 to 65 who have been diagnosed with both T2D and obesity. Participants will be randomly assigned to one of three groups: Group 1 (Supervised Training): Participants will attend two in-person, supervised exercise sessions per week at a local sports facility, each lasting 60 minutes. Sessions will be led by a qualified trainer and will include strength, flexibility, and functional exercises. Participants will also receive weekly motivational text messages and group health coaching. Group 2 (Unsupervised mHealth Training): Participants will follow the same exercise plan independently using a mobile application (ActiVital), which is part of the Andalusian Physical Activity Prescription Plan (PAPEF). They will receive their weekly training schedule through the app and will also receive text messages and group health coaching. Group 3 (Control Group): Participants will continue with their usual medical care without any structured exercise program. All participants across the three groups will be provided with a Fitbit Charge 6 wearable device to monitor daily physical activity and health indicators. The study's central hypothesis is that both structured supervised exercise and app-guided unsupervised exercise will lead to meaningful improvements in clinical indicators - such as blood glucose levels, glycated hemoglobin (HbA1c), blood lipids, and blood pressure - as well as in body composition, physical fitness, sleep quality, and overall quality of life, when compared to standard care alone. It is also hypothesized that the mHealth approach will show particular benefits in terms of adherence, self-management, and scalability. A total of 126 participants will be recruited through the Primary Care Center of Osuna (Seville, Spain), with measurements taken before and after the 20-week intervention period. The study will help determine which type of exercise program is most effective and feasible for people managing both type 2 diabetes and obesity in a primary care setting.

The population included in this study consists of tracheostomy patients admitted to the pulmonary department of Beijing Rehabilitation Hospital, undergoing decannulation rehabilitation treatment. After the patient is admitted, the research team evaluates whether they are suitable to enter the decannulation process. For enrolled patients, a 24-hour wearable device is worn upon admission to record physiological parameters. Patients, following clinical and rehabilitation treatment, can start using a "speaking valve" as soon as their condition permits. Within the first 24 hours prior to the initial use of the speaking valve, wearable devices may be utilized a second time to gather data. Patients successfully completed the decannulation process, tolerating the speaking valve for 4 hours (PEF/PCF ≥ 100liters/min).The wearable device was utilized to gather 24 hours physiological parameters for the third time within the 24 hours leading up to decannulation. Patients who underwent successful decannulation had physiological parameters collected for the forth time using wearable devices within 24 hours prior to discharge. This study preliminarily compares the differences in physiological parameters at four time points (within 24 hours of admission, within 24 hours prior to using a speaking valve, within 24 hours prior to decannulation and within 24 hours before discharge), predicts the physiological benefits of decannulation for patients, and advocates for the concept of "early decannulation." Decannulation criteria: If the patient can tolerate wearing the speaking valve continuously for 4 hours (gradually increasing the duration: 30 minutes, 1 hour, 2 hours, 4 hours), and if PEF/PCF ≥ 100 liters/min, planned removal of the tracheostomy tube can be considered. Criteria for successful decannulation: Patients who successfully completed the decannulation process and had their tubes removed, with no reinsertion of the tracheostomy tube or endotracheal intubation within 48 hours after decannulation.

Taiwan is becoming a super-aged society, and more older adults are living with Alzheimer's disease. Many people with Alzheimer's experience behavioral and psychological symptoms, such as agitation, sleep problems, or mood changes. These symptoms often lower their quality of life and increase stress for their family caregivers. This study will test two wearable devices in people with Alzheimer's and their caregivers. One device, called Geneactiv, is a wristwatch that tracks daily activity and sleep. The other device, called Re-Timer, is a light therapy eyewear that may help improve sleep and mood. Researchers will look at how easy the devices are to use, whether participants are willing to wear them for several weeks, and whether the light therapy helps reduce sleep problems or caregiver stress. The study will also compare information from questionnaires with information collected by the devices. The results may help researchers design future studies using wearable tools to better support people living with dementia and their caregivers.

This study aims to verify the accuracy of blood pressure, heart rate, blood oxygen saturation, anxiety level, and sleep cycle data measurements obtained from Samsung smartwatches compared to the currently accepted method used in patients with disc herniation undergoing the preoperative period.

Data collection study to establish a predictive model of infection observed during childhood cancer therapy using data captured by wearable technology.