Journal ArticleStud Health Technol Inform · August 31, 2022
The Electronic Health Record has failed to meet its intended purpose. We propose a new approach focusing on the use of data for health and health care. The first step is to create a repository of all patient data with data storage independent of data use. ...
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Journal ArticleJMIR Mhealth Uhealth · April 8, 2022
Digital health technologies, such as smartphones and wearable devices, promise to revolutionize disease prevention, detection, and treatment. Recently, there has been a surge of digital health studies where data are collected through a bring-your-own-devic ...
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Journal ArticleJMIR formative research · August 2021
BackgroundThe Pfizer-BioNTech COVID-19 vaccine uses a novel messenger RNA technology to elicit a protective immune response. Short-term physiologic responses to the vaccine have not been studied using wearable devices.ObjectiveWe aim to c ...
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Journal ArticleJ Neural Eng · June 17, 2021
Objective.Brain functions such as perception, motor control, learning, and memory arise from the coordinated activity of neuronal assemblies distributed across multiple brain regions. While major progress has been made in understanding the function of indi ...
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Journal ArticleNPJ Digit Med · June 2, 2021
Prediabetes affects one in three people and has a 10% annual conversion rate to type 2 diabetes without lifestyle or medical interventions. Management of glycemic health is essential to prevent progression to type 2 diabetes. However, there is currently no ...
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Journal ArticleJ Neural Eng · March 8, 2021
Objective. Large channel count surface-based electrophysiology arrays (e.g. µECoG) are high-throughput neural interfaces with good chronic stability. Electrode spacing remains ad hoc due to redundancy and nonstationarity of field dynamics. Here, we establi ...
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Journal ArticleJMIR mHealth and uHealth · February 2021
BackgroundThe field of digital medicine has seen rapid growth over the past decade. With this unfettered growth, challenges surrounding interoperability have emerged as a critical barrier to translating digital medicine into practice. In order to ...
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Journal ArticleSensors (Basel, Switzerland) · January 2021
A critical challenge to using longitudinal wearable sensor biosignal data for healthcare applications and digital biomarker development is the exacerbation of the healthcare "data deluge," leading to new data storage and organization challenges and costs. ...
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Journal ArticleIEEE open journal of engineering in medicine and biology · January 2021
Goal: Continuous glucose monitoring (CGM) is commonly used in Type 1 diabetes management by clinicians and patients and in diabetes research to understand how factors of longitudinal glucose and glucose variability relate to disease onset and severi ...
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Journal ArticleJMIR mHealth and uHealth · December 2020
Recently, companies such as Apple Inc, Fitbit Inc, and Garmin Ltd have released new wearable blood oxygenation measurement technologies. Although the release of these technologies has great potential for generating health-related information, it is importa ...
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Journal Article · October 19, 2020
UNSTRUCTUREDRecently, companies such as Apple Inc, Fitbit Inc, and Garmin Ltd have released new wearable blood oxygenation measurement technologies. Although the release of these technolo ...
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Journal Article · September 24, 2020
BACKGROUNDThe field of digital medicine has seen rapid growth over the past decade. With this unfettered growth, challenges surrounding interoperability have emerged as a critical barrier ...
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Journal ArticleJournal of clinical and translational science · August 2020
IntroductionPersonalized medicine has exposed wearable sensors as new sources of biomedical data which are expected to accrue annual data storage costs of approximately $7.2 trillion by 2020 (>2000 exabytes). To improve the usability of wearable d ...
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Journal ArticleJournal of clinical and translational science · July 2020
IntroductionDigital health is rapidly expanding due to surging healthcare costs, deteriorating health outcomes, and the growing prevalence and accessibility of mobile health (mHealth) and wearable technology. Data from Biometric Monitoring Technol ...
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Journal ArticleSensors (Basel, Switzerland) · May 2020
The dynamic time warping (DTW) algorithm is widely used in pattern matching and sequence alignment tasks, including speech recognition and time series clustering. However, DTW algorithms perform poorly when aligning sequences of uneven sampling frequencies ...
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Journal ArticleScience translational medicine · April 2020
Long-lasting, high-resolution neural interfaces that are ultrathin and flexible are essential for precise brain mapping and high-performance neuroprosthetic systems. Scaling to sample thousands of sites across large brain regions requires integrating power ...
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Journal ArticleNPJ Digit Med · 2020
As wearable technologies are being increasingly used for clinical research and healthcare, it is critical to understand their accuracy and determine how measurement errors may affect research conclusions and impact healthcare decision-making. Accuracy of w ...
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Journal ArticleNPJ digital medicine · January 2020
Digital medicine is an interdisciplinary field, drawing together stakeholders with expertize in engineering, manufacturing, clinical science, data science, biostatistics, regulatory science, ethics, patient advocacy, and healthcare policy, to name a few. A ...
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ConferenceInternational IEEE/EMBS Conference on Neural Engineering, NER · May 16, 2019
Chronic neuropathic pain is a debilitating disorder. Many patients receive pain relief when implanted with a Spinal Cord Stimulation (SCS) system. However, there is currently no way to automatically determine the most effective parameters to use in stimula ...
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Journal ArticleJournal of neural engineering · December 2018
ObjectiveThe clinical use of microsignals recorded over broad cortical regions is largely limited by the chronic reliability of the implanted interfaces.ApproachWe evaluated the chronic reliability of novel 61-channel micro-electrocortico ...
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Journal ArticleAnnual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · July 2018
Micro-electrocorticography (µECoG) is a minimally invasive neural interface that allows for recording from the surface of the brain with high spatial and temporal resolution [1], [2]. However, discerning multi-unit and local field potential (LFP) activity ...
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Journal ArticleAnnual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · July 2018
Chronic studies of flexible μECoG electrodes and the electrode-brain interface have been limited by the inability to assess tissue response over time. The electrophysiological system presented here combines epidural microelectrocorticographic (μECoG) recor ...
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