A cost-effective and non-invasive system for sleep and vital signs monitoring using passive RFID tags

Author(s):  
Zawar Hussain ◽  
Subhash Sagar ◽  
Wei Emma Zhang ◽  
Quan Z. Sheng
2021 ◽  
Vol 13 (1) ◽  
Author(s):  
Andrew W. Kirkpatrick ◽  
Jessica L. McKee ◽  
John M. Conly

AbstractCOVID-19 has impacted human life globally and threatens to overwhelm health-care resources. Infection rates are rapidly rising almost everywhere, and new approaches are required to both prevent transmission, but to also monitor and rescue infected and at-risk patients from severe complications. Point-of-care lung ultrasound has received intense attention as a cost-effective technology that can aid early diagnosis, triage, and longitudinal follow-up of lung health. Detecting pleural abnormalities in previously healthy lungs reveal the beginning of lung inflammation eventually requiring mechanical ventilation with sensitivities superior to chest radiographs or oxygen saturation monitoring. Using a paradigm first developed for space-medicine known as Remotely Telementored Self-Performed Ultrasound (RTSPUS), motivated patients with portable smartphone support ultrasound probes can be guided completely remotely by a remote lung imaging expert to longitudinally follow the health of their own lungs. Ultrasound probes can be couriered or even delivered by drone and can be easily sterilized or dedicated to one or a commonly exposed cohort of individuals. Using medical outreach supported by remote vital signs monitoring and lung ultrasound health surveillance would allow clinicians to follow and virtually lay hands upon many at-risk paucisymptomatic patients. Our initial experiences with such patients are presented, and we believe present a paradigm for an evolution in rich home-monitoring of the many patients expected to become infected and who threaten to overwhelm resources if they must all be assessed in person by at-risk care providers.


Author(s):  
Shrenik A. Vora ◽  
William M. Mongan ◽  
Endla K. Anday ◽  
Kapil R. Dandekar ◽  
Genevieve Dion ◽  
...  
Keyword(s):  

2020 ◽  
Author(s):  
Michael McGillion ◽  
Nazari Dvirnik ◽  
Stephen Yang ◽  
Emilie Belley-Côté ◽  
Andre Lamy ◽  
...  

BACKGROUND Background: Continuous hemodynamic monitoring is the standard of care for patients intraoperatively, but vital signs monitoring is performed only periodically on post-surgical wards, and patients are routinely discharged home with no surveillance. Wearable continuous monitoring biosensor technologies have the potential to transform postoperative care with early detection of impending clinical deterioration. OBJECTIVE Objective: Our aim was to validate the accuracy of the Cloud DX Vitaliti™ Continuous Vital Signs Monitor (CVSM) continuous non-invasive blood pressure measurements in post-surgical patients. Usability of the Vitaliti™ CVSM was also examined. METHODS Methods: Included patients were recovering from surgery in a cardiac intensive care unit. Validation procedures were according to AAMI - ISO 81060-2 2013 standards for Wearable, Cuffless Blood Pressure Measuring Devices. In static (seated in bed) and supine positons, three 30-second cNIBP measurements were taken for each patient with the Vitaliti™ CVSM and an invasive arterial catheter. The errors of these determinations were calculated. Participants were interviewed about device acceptability RESULTS Results: Data for 21 patients were included in the validation analysis. The overall mean and SD of the errors of determination for the static position were -0.784 mmHg (SD 4.594) for systolic blood pressure and 0.477 mmHg (SD 1.668) for diastolic blood pressure. Errors of determination were slightly higher for the supine position at 3.533 mmHg (SD 6.335) for systolic blood pressure and 3.050 mmHg (SD 3.619) for diastolic blood pressure. The majority rated the Vitaliti™ CVSM as comfortable. CONCLUSIONS Conclusion: The Vitaliti™ CVSM was compliant with AAMI-ISO 81060-2:2013 standards and well-received by patients. CLINICALTRIAL Trial Registration: ClinicalTrials.gov (NCT03493867)


2021 ◽  
Author(s):  
Huaili Zeng ◽  
Wei Xu ◽  
Bo Dong ◽  
Changyuan Yu ◽  
Wei Zhao ◽  
...  

2019 ◽  
Vol 10 (11) ◽  
pp. 5940 ◽  
Author(s):  
Fengze Tan ◽  
Shuyang Chen ◽  
Weimin Lyu ◽  
Zhengyong Liu ◽  
Changyuan Yu ◽  
...  

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