Device- and Analytics-Agnostic Infrastructure for Continuous Inpatient Monitoring: A Technical Note

Brasier, Noé; Geissmann, Lukas; Käch, Miro; Mutke, Markus; Hoelz, Bianca; Ieso, Fiorangelo De; Eckstein, Jens

doi:10.1159/000509279

Cited by 5 publications

(2 citation statements)

References 9 publications

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“…24 Non-invasive wearables, including BIVA sensors such as the wrist-wearable bioelectrical impedance analyser with miniature electrodes for daily BCA by Jung et al, 25 can be connected to automated hospital monitoring infrastructures and even remain with the patient following discharge. 26 This enables collecting continuous health data and closes the monitoring gap during transition between hospital discharge and follow-up management. Smartphone-based biosensors and wearables can reliably detect AHF triggering factors such as atrial fibrillation.…”

Section: Discussionmentioning

confidence: 99%

Body composition analysis in patients with acute heart failure: the Scale Heart Failure trial

et al. 2021

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Aims In this study, we aimed to investigate whether body composition analysis (BCA) derived from bioelectrical impedance vector analysis (BIVA) could be used to monitor the hydration status of patients with acute heart failure (AHF) during intensified diuretic therapy. Methods and results This observational, single‐centre study involved a novel, validated eight‐electrode segmental body composition analyser to perform BCA derived from BIVA with an alternating current of 100 μA at frequencies of 5, 7.5, 50, and 75 kHz. The BCA‐derived and BIVA‐derived parameters were estimated and compared with daily body weight measurements in hospitalized patients with AHF. A total of 867 BCA and BIVA assessments were conducted in 142 patients (56.3% men; age 76.8 ± 10.7 years). Daily changes in total body water (TBW) and extracellular water (ECW) were significantly associated with changes in body weight in 62.2% and 89.1% of all measurements, respectively (range, ±1 kg). Repeated measures correlation coefficients between weight loss and TBW loss resulted with rho 0.43, P < 0.01, confidence interval (CI) [0.36, 0.50] and rho 0.71, P > 0.01, CI [0.67, 0.75] for ECW loss. Between the first and last assessments, the mean weight loss was −2.5 kg, compared with the −2.6 L mean TBW loss and −1.7 L mean ECW loss. BIVA revealed an increase in mean Resistance R and mean Reactance Xc across all frequencies, with the subsequent reduction in body fluid (including corresponding body weight) between the first and last assessments. Conclusions Body composition analysis derived from BIVA with a focus on ECW is a promising approach to detect changes in hydration status in patients undergoing intensified diuretic therapy. Defining personalized BIVA reference values using bioelectrical impedance devices is a promising approach to monitor hydration status.

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Section: Discussionmentioning

confidence: 99%

Body composition analysis in patients with acute heart failure: the Scale Heart Failure trial

et al. 2021

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“…The “omics” approach and detection of biomarkers is inevitably connected to digital development. The internet of (medical) things—which means medical devices and applications are connected to healthcare systems through online computer networks—provides a continuously growing field in which patients and healthcare workers are connected and machine-to-machine communication allows for the rapid exchange of results [ 107 , 108 , 109 , 110 ]. According to the principles for digital development, open-source platforms—being device- and analytic-agnostic—are key to fostering a sustainable digital development [ 111 , 112 ].…”

Section: Potentially Available Point-of-care Tests In the More Distan...mentioning

confidence: 99%

Towards Accurate Point-of-Care Tests for Tuberculosis in Children

et al. 2022

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In childhood tuberculosis (TB), with an estimated 69% of missed cases in children under 5 years of age, the case detection gap is larger than in other age groups, mainly due to its paucibacillary nature and children’s difficulties in delivering sputum specimens. Accurate and accessible point-of-care tests (POCTs) are needed to detect TB disease in children and, in turn, reduce TB-related morbidity and mortality in this vulnerable population. In recent years, several POCTs for TB have been developed. These include new tools to improve the detection of TB in respiratory and gastric samples, such as molecular detection of Mycobacterium tuberculosis using loop-mediated isothermal amplification (LAMP) and portable polymerase chain reaction (PCR)-based GeneXpert. In addition, the urine-based detection of lipoarabinomannan (LAM), as well as imaging modalities through point-of-care ultrasonography (POCUS), are currently the POCTs in use. Further to this, artificial intelligence-based interpretation of ultrasound imaging and radiography is now integrated into computer-aided detection products. In the future, portable radiography may become more widely available, and robotics-supported ultrasound imaging is currently being trialed. Finally, novel blood-based tests evaluating the immune response using “omic-“techniques are underway. This approach, including transcriptomics, metabolomic, proteomics, lipidomics and genomics, is still distant from being translated into POCT formats, but the digital development may rapidly enhance innovation in this field. Despite these significant advances, TB-POCT development and implementation remains challenged by the lack of standard ways to access non-sputum-based samples, the need to differentiate TB infection from disease and to gain acceptance for novel testing strategies specific to the conditions and settings of use.

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Mobile Sensors in Healthcare: Technical, Ethical, and Medical Aspects

Eckstein

2022

Future of Business and Finance

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Device- and Analytics-Agnostic Infrastructure for Continuous Inpatient Monitoring: A Technical Note

Cited by 5 publications

References 9 publications

Body composition analysis in patients with acute heart failure: the Scale Heart Failure trial

Body composition analysis in patients with acute heart failure: the Scale Heart Failure trial

Towards Accurate Point-of-Care Tests for Tuberculosis in Children

Mobile Sensors in Healthcare: Technical, Ethical, and Medical Aspects

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