Classification of Decompensated Heart Failure From Clinical and Home Ballistocardiography

Aydemir, Varol Burak; Nagesh, Supriya; Shandhi, Md. Mobashir Hasan; Fan, Joanna; Klein, Liviu; Etemadi, Mozziyar; Heller, J. Alex; Inan, Omer T.; Rehg, James M.

doi:10.1109/tbme.2019.2935619

Cited by 37 publications

(39 citation statements)

References 46 publications

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“…With advances in technology, the BCG signal can now be measured using a wearable device, which increases the clinical applications of this technology, as was seen in our study on HF patients. 11,12,31,32 Our pilot study has strengths and limitations that are noteworthy. This pilot was the first study to assess cardiovascular hemodynamics noninvasively and longitudinally at numerous times points during pregnancy, prepartum, and postpartum in women with preeclampsia.…”

Section: Discussionmentioning

confidence: 99%

“…33,34 In addition, pedal edema may dampen the amplitude response of the signal, for example, a reduction in J-amp, which may indicate a relative reduction in stroke volume. However, as recording BCG with the modified scale has shown effectiveness in tracking hemodynamics and the clinical status in patients with HF, 11,12 we have translated the same methods in tracking hemodynamics in pregnancy complicated with preeclampsia for this proof-of-concept study. Furthermore, in our pilot study, 25% of the women enrolled with suspected preeclampsia did not meet the criteria on chart review and therefore were not included in the final analysis.…”

Section: Discussionmentioning

confidence: 99%

“…10 In our previous works in patients with HF, we have also shown the effectiveness of the modified weighing scale-based BCG in tracking hemodynamics and clinical status of patients with HF. 11,12 Given the implications of preeclampsia on cardiovascular disease, particularly HF, the ability to noninvasively monitor cardiovascular hemodynamic changes during pregnancy and postpartum is of great value. 13 This pilot study was a multidisciplinary collaborative effort to prospectively examine the effectiveness of a modified weighing scale-based BCG monitoring system in tracking changes in intracardiac hemodynamics throughout pregnancy and postpartum in pregnancies complicated by preeclampsia in comparison with normotensive pregnancies as controls.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Use of Ballistocardiography to Monitor Cardiovascular Hemodynamics in Preeclampsia

Quesada

Shandhi

Beach

et al. 2021

Women's Health Reports

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Use of Ballistocardiography to Monitor Cardiovascular Hemodynamics in Preeclampsia

Quesada

Shandhi

Beach

et al. 2021

Women's Health Reports

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“…One example is the use ballistocardiography for classification of decompensated HF. Aydemir demonstrated that high quality signals can by collected in a home environment by using this technology and that the data can be used to detect the clinical state of the HF patient ( 8 ). Despins et al have analyzed heart rate and respiration obtained from a bed sensor and analyzed the sensor signals for signs of early detection of HF ( 9 ), and most recently the use of continuous wearable monitoring analytics to predict heart failure hospitalization has been reported ( 10 ).…”

Section: Introductionmentioning

confidence: 99%

Case Report: Ambient Sensor Signals as Digital Biomarkers for Early Signs of Heart Failure Decompensation

Saner

Schuetz

Buluschek³

et al. 2021

Front. Cardiovasc. Med.

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Home monitoring systems are increasingly used to monitor seniors in their apartments for detection of emergency situations. More recently, multimodal ambient sensor systems are also used to monitor digital biomarkers to detect clinically relevant health problems over longer time periods. Clinical signs of HF decompensation including increase of heart rate and respiration rate, decreased physical activity, reduced gait speed, increasing toilet use at night and deterioration of sleep quality have a great potential to be detected by non-intrusive contactless ambient sensor systems and negative changes of these parameters may be used to prevent further deterioration and hospitalization for HF decompensation. This is to our knowledge the first report about the potential of an affordable, contactless, and unobtrusive ambient sensor system for the detection of early signs of HF decompensation based on data with prospective data acquisition and retrospective correlation of the data with clinical events in a 91 year old senior with a serious heart problem over 1 year. The ambient sensor system detected an increase of respiration rate, heart rate, toilet use at night, toss, and turns in bed and a decrease of physical activity weeks before the decompensation. In view of the rapidly increasing prevalence of HF and the related costs for the health care systems and the societies, the real potential of our approach should be evaluated in larger populations of HF patients.

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“…It should be noted that a handful of studies are available that examined the BCG of HF patients. Notable works include differentiation of compensated state and the decompensated state, estimation of the SV, and ejection fraction [14] , [16] , [20] . There is currently no study that systematically examined the BCG of the clinical population at rest in comparison to the non-clinical cohort.…”

Section: Introductionmentioning

confidence: 99%

Quantification of Resting-State Ballistocardiogram Difference Between Clinical and Non-Clinical Populations for Ambient Monitoring of Heart Failure

Chang

Mak

Armanfard

et al. 2020

IEEE J. Transl. Eng. Health Med.

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A ballistocardiogram (BCG) is a versatile bio-signal that enables ambient remote monitoring of heart failure (HF) patients in a home setting, achieved through embedded sensors in the surrounding environment. Numerous methods of analysis are available for extracting physiological information using the BCG; however, most have been developed based on non-clinical subjects. While the difference between clinical and non-clinical populations are expected, quantification of the difference may serve as a useful tool. In this work, the differences in resting-state BCGs of the two cohorts in a sitting posture were quantified. An instrumented chair was used to collect the BCG from 29 healthy adults and 26 NYHA HF class I and II patients while seated without any stress test for five minutes. Five 20-second epochs per subject were used to calculate the waveform fluctuation metric at rest (WFMR). The WFMR was obtained in two steps. The ensemble average of the segmented BCG heartbeats within an epoch were calculated first. Mean square errors (MSE) between different ensemble average pairs were then retrieved. The MSEs were averaged to produce the WFMR. The comparison showed that the clinical cohort had higher fluctuation than the non-clinical population and had at least 82.2% separation, suggesting that greater errors may result when existing algorithms were used. The WFMR acts as a bridge that may enable important features, including the addition of error margins in parameter estimation and ways to devise a calibration strategy when resting-state BCG is unstable.

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Classification of Decompensated Heart Failure From Clinical and Home Ballistocardiography

Cited by 37 publications

References 46 publications

Use of Ballistocardiography to Monitor Cardiovascular Hemodynamics in Preeclampsia

Use of Ballistocardiography to Monitor Cardiovascular Hemodynamics in Preeclampsia

Case Report: Ambient Sensor Signals as Digital Biomarkers for Early Signs of Heart Failure Decompensation

Quantification of Resting-State Ballistocardiogram Difference Between Clinical and Non-Clinical Populations for Ambient Monitoring of Heart Failure

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