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Published in 2020 at "JAMA Surgery"
DOI: 10.1001/jamasurg.2019.6384
Abstract: This case series study examines the ergonomic risk of surgery using wearable sensor inertial measurement units to monitor the ergonomics of surgeons at work. read more here.
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Published in 2022 at "Neuropsychopharmacology Reports"
DOI: 10.1002/npr2.12285
Abstract: Reduced activity and sleep–wake rhythm disturbances are essential features of depressive episodes. In addition, alterations in heart rate variability (HRV) have been implicated in depression. By using a wearable sensor that monitors 3‐dimensional acceleration and… read more here.
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Published in 2017 at "Clinical Neurophysiology"
DOI: 10.1016/j.clinph.2017.03.018
Abstract: Monitoring of cerebral activity during long-term therapy such as occupational therapy is useful for the development of new protocols and assessments of the therapy. For clinical use, the authors tried to develop an examination by… read more here.
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Published in 2020 at "World neurosurgery"
DOI: 10.1016/j.wneu.2020.11.089
Abstract: BACKGROUND We describe a new technique that combines navigation-assisted extreme lateral interbody fusion (NALIF) and percutaneous placement of pedicle screws in the lateral decubitus position with the surgeon using wearable smart glasses. METHODS We explain… read more here.
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Published in 2024 at "Scientific Reports"
DOI: 10.1038/s41598-024-71630-w
Abstract: Many patients with diabetes struggle with post-meal high blood glucose due to missed or untimely meal-related insulin doses. To address this challenge, our research aims to: (1) study mealtime patterns in patients with type 1… read more here.
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Published in 2025 at "Physiological Measurement"
DOI: 10.1088/1361-6579/adf6fe
Abstract: Objective. Depression is a prevalent mental health disorder that significantly impacts well-being and quality of life. This study investigates the relationship between depression and cardiovascular function, exploring time-series features derived from electrocardiogram (ECG) and photoplethysmogram… read more here.
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Published in 2022 at "European journal of cardiovascular nursing"
DOI: 10.1093/eurjcn/zvac053
Abstract: Wearable cameras offer an innovative way to discover new insights into the lived experience of people with cardiovascular conditions. Wearable cameras can be used alone or supplement more traditional research methods, such as interviews and… read more here.
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Published in 2022 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2022.3158427
Abstract: Recent years have witnessed significant success of convolutional neural networks (CNNs) in human activity recognition (HAR) using wearable sensors. Nevertheless, prior works have an obvious drawback. An activity sample may contain heterogeneous sensor modalities from… read more here.
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Published in 2020 at "BMJ Open"
DOI: 10.1136/bmjopen-2020-038555
Abstract: Introduction There is an outbreak of COVID-19 worldwide. As there is no effective therapy or vaccine yet, rigorous implementation of traditional public health measures such as isolation and quarantine remains the most effective tool to… read more here.
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Published in 2025 at "Circulation"
DOI: 10.1161/cir.151.suppl_1.p1007
Abstract: Introduction: Identifying and monitoring frailty can inform optimal care for older adults. This study aimed to detect frailty using wearable device-measured movement behaviors (MBs). Hypothesis: We hypothesized that random forest models were able to detect… read more here.