Robust heart rate estimation from multiple asynchronous noisy sources using signal quality indices and a Kalman filter.
about
Collective Experience: A Database-Fuelled, Inter-Disciplinary Team-Led Learning SystemRobust parameter extraction for decision support using multimodal intensive care dataStochastic modeling of central apnea events in preterm infantsPredictive monitoring for early detection of subacute potentially catastrophic illnesses in critical carePredictive monitoring for respiratory decompensation leading to urgent unplanned intubation in the neonatal intensive care unit.Robust fundamental frequency estimation in sustained vowels: detailed algorithmic comparisons and information fusion with adaptive Kalman filtering.A review of signals used in sleep analysisBreath-by-breath analysis of cardiorespiratory interaction for quantifying developmental maturity in premature infants.Reducing false alarm rates for critical arrhythmias using the arterial blood pressure waveformData quality of a wearable vital signs monitor in the pre-hospital and emergency departments for enhancing prediction of needs for life-saving interventions in trauma patients.Robust detection of heart beats in multimodal data.-Omic and Electronic Health Record Big Data Analytics for Precision Medicine.Data Fusion for Improved Respiration Rate Estimation.An investigation of patterns in hemodynamic data indicative of impending hypotension in intensive care.Model-based data integration in clinical environments.Do heart and respiratory rate variability improve prediction of extubation outcomes in critically ill patients?Use of the Kalman Filter for Aortic Pressure Waveform Noise Reduction.A subspace decomposition approach toward recognizing valid pulsatile signals.Clinician blood pressure documentation of stable intensive care patients: an intelligent archiving agent has a higher association with future hypotensionA robust approach toward recognizing valid arterial-blood-pressure pulses.The Effect of Signal Quality on Six Cardiac Output EstimatorsAccessing the public MIMIC-II intensive care relational database for clinical research.A Review of Fetal ECG Signal Processing; Issues and Promising Directions.ECG morphological variability in beat space for risk stratification after acute coronary syndrome.Model-based estimation of loop gain using spontaneous breathing: a validation study.Sensitivity to mental effort and test-retest reliability of heart rate variability measures in healthy seniorsRobust detection of heartbeats using association models from blood pressure and EEG signals.Objective identification and analysis of physiological and behavioral signs of schizophreniaSignal quality estimation with multichannel adaptive filtering in intensive care settings.Artificial arterial blood pressure artifact models and an evaluation of a robust blood pressure and heart rate estimator.Machine Learning and Decision Support in Critical Care.Multi-purpose ECG telemetry system.Cardiorespiratory dynamics measured from continuous ECG monitoring improves detection of deterioration in acute care patients: A retrospective cohort study.Electrocardiogram Signal Quality Assessment Based on Structural Image Similarity Metric.A review of methods for the signal quality assessment to improve reliability of heart rate and blood pressures derived parameters.False alarm reduction in critical care.Automated signal quality assessment of mobile phone-recorded heart sound signals.Quality estimation of the electrocardiogram using cross-correlation among leads.Beatquency domain and machine learning improve prediction of cardiovascular death after acute coronary syndromeAssessing ECG signal quality indices to discriminate ECGs with artefacts from pathologically different arrhythmic ECGs
P2860
Q24273269-29EAA69E-981A-4AB2-A12A-103A23F43C46Q28755801-C1C963C1-4CC0-4989-9E96-9E48F53E965CQ30277174-A2777B46-EA3B-4ED0-9BF4-2C9061A61379Q30353984-59756C1A-094D-4462-842D-51B5AD489C93Q30353998-1021E487-486D-491E-A8A8-0F5D53CD012EQ30413080-9E1F3FFB-93B2-4F7E-A630-84E171C175F4Q30422081-062C4BCD-71FD-4DD7-BC4D-7935F7300F2BQ30422198-B0332D9A-B410-4887-B9D2-25DB1D4663E1Q30489373-70E0CE44-A4A9-4D99-8391-BF7255E28B71Q30974790-7C466D51-DEFB-48DF-903A-4320E11E4032Q30983523-1043E136-2B31-48F1-B51D-CC1198F2A647Q31136593-89BFE4D6-6AD5-4103-A066-AEAAD274E8E8Q33678923-C073D7FD-8D5A-45B0-B388-0DB8810A8F28Q33727404-D5BE5C14-A973-4537-940C-9280D94CB2EAQ33752942-97A1F54B-EF24-42F8-8A78-4E9D2937F106Q33754718-785C54B0-7CE5-4B11-ACA0-5EE13461652EQ33762531-11CA0F8C-AA66-457A-BF55-B88506A78551Q33777588-E94577EF-9936-4815-A079-6C38463E955CQ33825071-A2D4D48D-D329-427F-A4B4-07BB31525001Q33921010-29644043-C002-46CA-A799-ABC9D87AE810Q34080719-951C522F-1382-42D1-B432-09FAD3BC8589Q34543040-652D4601-03CB-497B-82A7-A88EEA3E86A5Q34999662-588684B9-2B81-4935-A298-B2755611D959Q35021856-805BEA0F-D958-4B8B-8E46-1028447DCD70Q35071906-D6AE9477-EDA2-439F-AADA-5603ECB7DF77Q35093595-CE0489BD-C01F-41C8-A50E-B8E18D61E208Q36466689-54FD62C4-AC11-471C-B0D1-8E6541620A92Q36647199-DE240D3B-0C5A-4BCB-B0E5-2304B84368C9Q36839387-AC22F657-FF76-4B86-A963-003104CE32B9Q37308401-DF4E94DA-99D4-4047-A29E-246B08BBC4DDQ37344316-3F27809B-7C8B-467C-AC18-6C8F969417DBQ38370218-2E5C2CFC-00E5-467B-B9F6-8B9C58475BF9Q38644469-3FB0B006-3C9C-4031-9DEE-559C10023260Q38711981-82C37625-707A-4A1E-B441-979E129B8266Q38746768-B7737FF5-0D1F-4BA1-B08C-C51EE0DF6F62Q38838240-36CAA542-2ACF-4ED8-87A0-3F4FD0D80276Q40407265-C99323B2-F1AA-429B-8DD5-87E2407C3766Q40819312-705C8D25-43A1-4746-BB8E-A2E0797E395EQ41344156-3AF15CC2-1B61-4DCD-A1E8-66ECC4B796C4Q42080589-195927E8-1635-46B4-A2CB-E04D8FC8B462
P2860
Robust heart rate estimation from multiple asynchronous noisy sources using signal quality indices and a Kalman filter.
description
2007 nî lūn-bûn
@nan
2007年の論文
@ja
2007年学术文章
@wuu
2007年学术文章
@zh-cn
2007年学术文章
@zh-hans
2007年学术文章
@zh-my
2007年学术文章
@zh-sg
2007年學術文章
@yue
2007年學術文章
@zh
2007年學術文章
@zh-hant
name
Robust heart rate estimation f ...... y indices and a Kalman filter.
@ast
Robust heart rate estimation f ...... y indices and a Kalman filter.
@en
type
label
Robust heart rate estimation f ...... y indices and a Kalman filter.
@ast
Robust heart rate estimation f ...... y indices and a Kalman filter.
@en
prefLabel
Robust heart rate estimation f ...... y indices and a Kalman filter.
@ast
Robust heart rate estimation f ...... y indices and a Kalman filter.
@en
P2093
P2860
P356
P1476
Robust heart rate estimation f ...... y indices and a Kalman filter.
@en
P2093
P2860
P356
10.1088/0967-3334/29/1/002
P577
2007-12-10T00:00:00Z