Beyond Wellness Monitoring: Continuous Multiparameter Remote Automated Monitoring of Patients

McGillion, Michael; Allan, Katherine S.; Ross-Howe, Sara; Jiang, Wenjun; Graham, Michelle M.; Marcucci, Maura; Johnson, Ana; Scott, Ted; Ouellette, Carley; Kocetkov, Dejan; Lounsbury, Jennifer; Bird, Marissa; Harsha, Prathiba; Sanchez, Karla; Harvey, Valérie; Vincent, Jessica; Borges, Flávia Kessler; Carroll, Sandra; Peter, Elizabeth; Patel, Ameen; Bergh, Sverre; Devereaux, P.J.

doi:10.1016/j.cjca.2021.10.011

Cited by 7 publications

(8 citation statements)

References 39 publications

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“…There is usage of wearable device integrations that can monitor patient's vital signs such as heart rate and blood pressure [31] . Patients are more than willing to accept new technology and the gamification of rehabilitation [3,4,32] . The increasing use of telehealth could reduce the cost of doctor's visits by as much as 75%, and about half of all doctor's visits could be conducted online.…”

Section: Telehealth and The Wellness To Health Care Translationmentioning

confidence: 99%

“…There are estimates that the IoT generates more than 500 zettabytes per year in data—and in the years to come, that number is expected to grow exponentially, not linearly. As the science and practice of virtual care continues to evolve, sensor solutions capable of monitoring many parameters (e.g., oxygen saturation, heart rate) continuously and simultaneously will be brought on board [4] . Through seamless integration of multiple signals, these technologies can generate high-volume big data for the development of algorithms to facilitate early detection of changes in patient health status and timely clinician response.…”

Section: Long-term Monitoring With Implantable Devicesmentioning

confidence: 99%

“…[ 31 ] Patients are more than willing to accept new technology and the gamification of rehabilitation. [ 3 , 4 , 32 ] The increasing use of telehealth could reduce the cost of doctor's visits by as much as 75%, and about half of all doctor's visits could be conducted online. Specialized sensors can be patient centric or placed within living spaces to monitor the health and general well being of patients.…”

Section: Telehealth and The Wellness To Health Care Translationmentioning

confidence: 99%

“…This can be over the Internet or with other communications networks. IoT devices are being used to enable remote health monitoring and emergency notification systems [1,3–5] . These health monitoring devices can range from blood pressure and heart rate monitors to advanced devices capable of monitoring specialized implants, [4] pacemakers [6] and Fitbit electronic wristbands [7,8] .…”

Section: Introductionmentioning

confidence: 99%

“…IoT devices are being used to enable remote health monitoring and emergency notification systems. [1,[3][4][5] These health monitoring devices can range from blood pressure and rate monitors to advanced devices capable of monitoring specialized implants, [4] pacemakers [6] and Fitbit electronic wristbands. [7,8] Some hospitals have begun implementing intelligent beds [9] that can detect when they are occupied and when a patient is attempting to get up.…”

Section: Introductionmentioning

confidence: 99%

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Sensors and digital medicine in orthopaedic surgery

Merle

Parent-Harvey

Harvey

2022

OTA International: The Open Access Journal of Orthopaedic Trauma

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Digital health principles are starting to be evident in medicine. Orthopaedic trauma surgery is also being impacted —indirectly by all other improvements in the health ecosystem but also in particular efforts aimed at trauma surgery. Data acquisition is changing how evidence is gathered and utilized. Sensors are the pen and paper of the next wave of data acquisition. Sensors are gathering wide arrays of information to facilitate digital health relevance and adoption. Early adaption of sensor technology by the nonlegacy health environment is what has made sensor driven data acquisition so palatable to the normal health care system. As it applies to orthopaedic trauma, current sensor driven diagnostics and surveillance are nowhere near as developed as in the larger medical community. Digital health is being explored for health care records, data acquisition in diagnostics and rehabilitation, wellness to health care translation, intraoperative monitoring, surgical technique improvement, as well as some early-stage projects in long-term monitoring with implantable devices. The internet of things is the next digital wave that will undoubtedly affect medicine and orthopaedics. Internet of things (loT) devices are now being used to enable remote health monitoring and emergency notification systems. This article reviews current and future concepts in digital health that will impact trauma care.

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Section: Telehealth and The Wellness To Health Care Translationmentioning

confidence: 99%

Section: Long-term Monitoring With Implantable Devicesmentioning

confidence: 99%

Section: Telehealth and The Wellness To Health Care Translationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Sensors and digital medicine in orthopaedic surgery

Merle

Parent-Harvey

Harvey

2022

OTA International: The Open Access Journal of Orthopaedic Trauma

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Video-based beat-by-beat blood pressure monitoring via transfer deep-learning

Omer,

Salah,

Hassan

et al. 2024

Appl Intell

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Currently, learning physiological vital signs such as blood pressure (BP), hemoglobin levels, and oxygen saturation, from Photoplethysmography (PPG) signal, is receiving more attention. Despite successive progress that has been made so far, continuously revealing new aspects characterizes that field as a rich research topic. It includes a diverse number of critical points represented in signal denoising, data cleaning, employed features, feature format, feature selection, feature domain, model structure, problem formulation (regression or classification), and model combinations. It is worth noting that extensive research efforts are devoted to utilizing different variants of machine learning and deep learning models while transfer learning is not fully explored yet. So, in this paper, we are introducing a per-beat rPPG-to-BP mapping scheme based on transfer learning. An interesting representation of a 1-D PPG signal as a 2-D image is proposed for enabling powerful off-the-shelf image-based models through transfer learning. It resolves limitations about training data size due to strict data cleaning. Also, it enhances model generalization by exploiting underlying excellent feature extraction. Moreover, non-uniform data distribution (data skewness) is partially resolved by introducing logarithmic transformation. Furthermore, double cleaning is applied for training contact PPG data and testing rPPG beats as well. The quality of the segmented beats is tested by checking some of the related quality metrics. Hence, the prediction reliability is enhanced by excluding deformed beats. Varying rPPG quality is relaxed by selecting beats during intervals of the highest signal strength. Based on the experimental results, the proposed system outperforms the state-of-the-art systems in the sense of mean absolute error (MAE) and standard deviation (STD). STD for the test data is decreased to 5.4782 and 3.8539 for SBP and DBP, respectively. Also, MAE decreased to 2.3453 and 1.6854 for SBP and DBP, respectively. Moreover, the results for BP estimation from real video reveal that the STD reaches 8.027882 and 6.013052 for SBP and DBP, respectively. Also, MAE for the estimated BP from real videos reaches 7.052803 and 5.616028 for SBP and DBP, respectively. Graphical abstract Proposed camera-based blood pressure monitoring system

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Digital Technologies: Revolutionizing Cardiovascular Medicine and Reshaping the World

Nattel

2022

Canadian Journal of Cardiology

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Beyond Wellness Monitoring: Continuous Multiparameter Remote Automated Monitoring of Patients

Cited by 7 publications

References 39 publications

Sensors and digital medicine in orthopaedic surgery

Sensors and digital medicine in orthopaedic surgery

Video-based beat-by-beat blood pressure monitoring via transfer deep-learning

Digital Technologies: Revolutionizing Cardiovascular Medicine and Reshaping the World

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