A Method for Automatic Identification of Reliable Heart Rates Calculated from ECG and PPG Waveforms

Yu, Chenggang; Liu, Zhenqiu; McKenna, Thomas M.; Reisner, Andrew; Reifman, Jaques

doi:10.1197/jamia.m1925

Cited by 93 publications

(71 citation statements)

References 12 publications

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“…20,24,25 Here, we used the same validated methodology, summarized as follows: For each vital-sign value, reliable data were identified by automated algorithms that rated each datum on an integer scale from least to most reliable. 24,26,27 HR and RR reliability algorithms involved analysis of ECG and IP waveforms, respectively. 26,27 Briefly, when the waveforms were clean with rhythmic, consistent beats or breaths, the corresponding rates tended to be rated as reliable.…”

Section: Vital-sign Data Processingmentioning

confidence: 99%

“…24,26,27 HR and RR reliability algorithms involved analysis of ECG and IP waveforms, respectively. 26,27 Briefly, when the waveforms were clean with rhythmic, consistent beats or breaths, the corresponding rates tended to be rated as reliable. Conversely, when the waveforms were noisy with irregular, heterogeneous beats or breaths, the rates were rated as unreliable.…”

Section: Vital-sign Data Processingmentioning

confidence: 99%

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Prehospital Heart Rate and Blood Pressure Increase the Positive Predictive Value of the Glasgow Coma Scale for High-Mortality Traumatic Brain Injury

Reisner

Chen

Kumar

et al. 2014

Journal of Neurotrauma

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We hypothesized that vital signs could be used to improve the association between a trauma patient's prehospital Glasgow Coma Scale (GCS) score and his or her clinical condition. Previously, abnormally low and high blood pressures have both been associated with higher mortality for patients with traumatic brain injury (TBI). We undertook a retrospective analysis of 1384 adult prehospital trauma patients. Vital-sign data were electronically archived and analyzed. We examined the relative risk of severe head Abbreviated Injury Scale (AIS) 5-6 as a function of the GCS, systolic blood pressure (SBP), heart rate (HR), and respiratory rate (RR). We created multi-variate logistic regression models and, using DeLong's test, compared their area under receiver operating characteristic curves (ROC AUCs) for three outcomes: head AIS 5-6, all-cause mortality, and either head AIS 5-6 or neurosurgical procedure. We found significant bimodal relationships between head AIS 5-6 versus SBP and HR, but not RR. When the GCS was < 15, ROC AUCs were significantly higher for a multi-variate regression model (GCS, SBP, and HR) versus GCS alone. In particular, patients with abnormalities in all parameters (GCS, SBP, and HR) were significantly more likely to have high-mortality TBI versus those with abnormalities in GCS alone. This could be useful for mobilizing resources (e.g., neurosurgeons and operating rooms at the receiving hospital) and might enable new prehospital management protocols where therapies are selected based on TBI mortality risk.

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Section: Vital-sign Data Processingmentioning

confidence: 99%

Section: Vital-sign Data Processingmentioning

confidence: 99%

Prehospital Heart Rate and Blood Pressure Increase the Positive Predictive Value of the Glasgow Coma Scale for High-Mortality Traumatic Brain Injury

Reisner

Chen

Kumar

et al. 2014

Journal of Neurotrauma

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“…11 shows other types of distorted heartbeat signals and the results of their conversion with Eq. (14). Fig.…”

Section: Resultsmentioning

confidence: 99%

“…To accomplish this, our ring sensor needs to be more complete and reliable in real dynamic environments. Therefore, we will attempt to improve our system with regard to extracting more reliable heart rates and breath rates [13][14][15].…”

Section: Discussionmentioning

confidence: 99%

Real-Time Heart Rate Monitoring System based on Ring-Type Pulse Oximeter Sensor

Park¹,

Kim²,

Ko³

et al. 2013

Journal of Electrical Engineering and Technology

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-With the continuous aging of the populations in developed countries, the medical requirements of the aged are expected to increase. In this paper, a ring-type pulse oximeter finger sensor and a 24-hour ambulatory heart rate monitoring system for the aged are presented. We also demonstrate the feasibility of extracting accurate heart rate variability measurements from photoelectric plethysmography signals gathered using a ring-type pulse oximeter sensor attached to the finger. We designed the heart rate sensor using a CPU with built-in ZigBee stack for simplicity and low power consumption. We also analyzed the various distorted signals caused by motion artifacts using a FFT, and designed an algorithm using a least squares estimator to calibrate the signals for better accuracy.

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“…In general, heart rate was measuring through Electrocardiogram(ECG) signal orPhotoplethysmography(PPG)signal [4]. As a novel method,EBI allow us to noninvasively obtain physical information from human body.…”

Section: Introductionmentioning

confidence: 99%

A method to detect heart rate based on electrical bio-impedance

Chen

Zheng

et al. 2016

ITM Web Conf.

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Abstract. As a basic health indicator, heart rate has been widely used in clinical measurement and daily health care. Electrical bio-impedance (EBI) measurement provides non-invasive method for heart rate detection. Therefore, this paper proposed a method to detect heart rate based on EBI. With the BIOPAC EBI module, the signal can be de-noised in real-time. Finally, the de-noised EBI signal is used to compute heart rate. Four electrodes are located at radial artery of left upper limb in this method. The result proves that this method has high accuracy on heart rate measurement.

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A Method for Automatic Identification of Reliable Heart Rates Calculated from ECG and PPG Waveforms

Abstract: This method provides a robust approach for automatically assessing the reliability of large quantities of heart rate data and the waveforms from which they are derived.

Cited by 93 publications

References 12 publications

Prehospital Heart Rate and Blood Pressure Increase the Positive Predictive Value of the Glasgow Coma Scale for High-Mortality Traumatic Brain Injury

Prehospital Heart Rate and Blood Pressure Increase the Positive Predictive Value of the Glasgow Coma Scale for High-Mortality Traumatic Brain Injury

Real-Time Heart Rate Monitoring System based on Ring-Type Pulse Oximeter Sensor

A method to detect heart rate based on electrical bio-impedance

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