e.g. mhealth
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Skip search results from other journals and go to results- 16 JMIR mHealth and uHealth
- 13 Journal of Medical Internet Research
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- 4 JMIR Rehabilitation and Assistive Technologies
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The tested 3 domains of varying recording configurations were (Figure 1): sensor placement, sensor modality, and sampling frequency. Sensor placement refers to the number of sensors used (from 1 to 4) at the different (proximal-lateral-) limb locations. The recording modality of the sensors can be selected as either an accelerometer, a gyroscope, or both.
JMIR Mhealth Uhealth 2025;13:e58078
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In our analysis, we leveraged continuously collected sensor data to examine the relationship between EMA responses (as patient-reported outcome measures), digital markers extracted from sensor data (digital phenotyping), and demographics across multiple studies. This comprehensive approach enabled us to uncover patterns and develop recommendations for optimizing EMA methodologies.
In this study, we performed statistical analysis of EMA responses and sensor data from 9 clinical studies.
JMIR Mhealth Uhealth 2025;13:e57018
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The purpose of this study was to assess (1) the suitability (applicability) of a sensor that did not need to be displayed in the proximity of the objects to be touched or explored but would detect the responses from a distance, thus bypassing the difficulties mentioned regarding optic and pressure sensors, and (2) the effectiveness of the sensor and related technology system in helping the participants increase contact with objects and control environmental stimulation.
JMIR Rehabil Assist Technol 2025;12:e70378
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This study conducted long-term (months) continuous monitoring of high-resolution HRV data during daily life activities using a COTS smartwatch with a photoplethysmography sensor and activity (step count) data. The primary aim of this study was to evaluate the influence of missing data on HRV metrics collected from a photoplethysmography-based smartwatch both at rest and during physical activity in real-world settings.
JMIR Form Res 2025;9:e53645
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The use of multiple sensors provides a more detailed and holistic view of the patient’s movements, enabling the capture of subtle changes that may not be detectable with a single sensor [15]. An IMU is cost-effective and straightforward to wear, rendering it suitable for both laboratory evaluation and daily use.
JMIR Res Protoc 2025;14:e58612
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The emergence of wearable sensor technology facilitates promising opportunities to monitor a broad set of health-related outcomes [10]. Besides the initial use cases of wearables in estimating daily physical activity levels [11] and sleep duration [12], the introduction of photoplethysmography sensors enabled the measurement of other metrics such as heart rate [13], heart rate variability (HRV) [14], oxygen saturation [15], and potentially blood pressure [16].
JMIR Mhealth Uhealth 2025;13:e60708
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These technologies encompass a wide range of devices and systems, including sensor networks, remote monitoring, and assistive devices, which can enhance safety, health monitoring, and overall quality of life for older adults [8,9]. By integrating these technologies into the home environment, smart home solutions have the potential to address various challenges associated with aging in place, such as falls, medication adherence, and social isolation [10].
J Med Internet Res 2025;27:e59921
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However, even if the concept remains similar, connected watches usually come with a green light PPG sensor for its ability to reduce motion artifacts, contrary to the red ones commonly used in the medical field for blood oxygen saturation evaluation [8,9]. The reason for this is that the deeper the light penetrates the tissue (eg, red wavelength), the more the pulse wave is affected by limb movements [10,11].
JMIR Mhealth Uhealth 2025;13:e54871
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In this observational study, we assessed pulse rate as an approximation of HR continuously for 1 year with sensor-based wristwatches, while also registering physical activity levels and medication adherence, and the exact timing of beta-2 agonist inhalation with the use of smart inhalers. These data gives us the opportunity to assess the real-life effects of beta-2 agonists on HR.
Therefore, in this study, we aim to assess the relationship between beta-2 agonists (LABAs and SABAs) and HR.
JMIR Cardio 2024;8:e56848
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This paper aims to explore user perceptions of our knitted breathing sensor garment to assess how it may evolve to meet user requirements for long-term breathing monitoring. We then investigate whether the preferred sensor implementation can also output good quality breathing signals.
JMIR Biomed Eng 2024;9:e58166
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