Estimation of Blood Pressure by Using Electrocardiogram (ECG) and Photo-Plethysmogram (PPG)

Kumar, Sarvesh; Ayub, Shahanaz

doi:10.1109/csnt.2015.99

Cited by 15 publications

(13 citation statements)

References 5 publications

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“…These RR non-invasive methods of RR estimation are applicable in both healthcare and fitness monitoring. [40] The RR can also be calculated using Physionet WFDB library using the EDR (ECG Derived Respiration) utility and the derived value has high correlation to the measured values as found by the authors of the library. [60] Since the ECG waveforms are available, RR can be calculated from the ECG waveform itself.…”

Section: Composite Sensor Kit For Real-time Multiparameter Physiologimentioning

confidence: 94%

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Composite and Wearable Sensor Kit for Location Aware Healthcare Monitoring and Real-Time Trauma Scoring for Survival Prediction.

Walinjkar¹

2018

Preprint

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With the availability of wearable health monitoring sensor modules like 3-Lead Electrocardiogram (ECG), Pulse Oximeter (SpO2), Galvanic Skin Response (GSR), Hall effect sensor (for measuring Respiratory Rate), Blood Pressure and Temperature measuring and sensing elements, it has now become possible to device a composite health status monitoring kit that can measure vital signs and other physiological parameters pertaining to human health in real time. Traditionally, the physiological parameters along with vital signs related examination was possible only in a hospitalized or ambulatory environment, however due to advances in sensing and embedded system technology and miniaturization of data acquisition and processing elements health monitoring has become possible even when individuals remain engaged in their day to day activities at the convenience of space and location. The patients or individuals subject to monitoring may suffer from a traumatic experience due to their medical condition and may need emergent incidence response and the critical care team may have to prepare for the treatment only after the patient arrives, which often is too late, as in case of cardiac arrests or severe injuries. The research focused on real-time health status monitoring and trauma scoring using standard physiological parameters along with standard telemetry protocols to make the critical care team aware of an emergent situation and prepare for a medical emergency. Vital signs and physiological parameters (heart rate, temperature, respiratory rate, and blood pressure, SpO2) were measured in real time from human subjects non-invasively. In order to enable monitoring of the patients engaged in day to day activities, errors due to the motion were removed using stationary wavelet transform correction (correlation coefficient of 0.9 after correction) and signals from various sensors were denoised, filtered and were encoded in a format suitable for further data analysis. A composite sensor kit capable of monitoring vital signs and physiological parameters can be very useful in incident response when an individual undergoes a traumatic experience related to stroke, cardiac arrest, fits or even injury, as along with monitoring information the kit can calculate scores related to trauma like the Injury Severity Score (ISS), National Early Warning Signs (NEWS), Revised Trauma Score (RTS). Trauma Injury Severity Score (TRISS), Probability of Survival (Ps) score. An open access database of vital signs and physiological parameters from Physionet, MIMIC 2 Numerics (mimicdb/numerics) database was used to calculate NEWS and RTS and to generate correlation and regression models using the vital signs/physiological parameters for a clinical class of patients with respiratory failure and admitted to Intensive Care Unit (ICU). NEWS and RTS scores showed no significant correlation (r = 0.25, p<0.001) amongst themselves, however together NEWS and RTS showed significant correlation with Ps (blunt) (r = 0.70, p<0.001). RTS and Ps (blunt) scores showed some correlation (r = 0.63, p<0.001) and NEWS score showed significant correlation (r = 0.79, p<0.001) with Ps (blunt) scores. Furthermore, since individuals have to be monitored regardless of location, these kits have to have a built-in capability to locate the individual so that the incident response team can locate the individual based on Global Positioning System coordinates (GPS). A Quantum GIS (Geographical Information System) application using real-time GPS coordinates (OpenStreetMap coordinates) was used to calculate the shortest path using QGIS Network Analysis tool to demonstrate the calculation of shortest path and direction to locate the nearest service provider in shortest time. Along with locating the nearest healthcare service provider, it would help if the critical care team could be made aware of the physiological parameters and trauma scores using standard protocols accepted across the globe. The physiological parameters from the sensors along with the calculated trauma scores were encoded according to a standard Systematized Nomenclature of Medicine-Clinical Terms (SNOMED-CT) coding system and International Code of Diseases (ICD) codes and the trauma information was logged to Electronic Health Records (EHR) using Fast Health Interoperability Resources (FHIR) servers. FHIR servers provided interoperable web services to log the event information in real time. It could be concluded that analytical models trained on existing datasets can help in analyzing a traumatic experience or an injury and the information can be logged using a standard telemetry protocol as a telemedicine initiative. These scores enable the healthcare service providers to estimate the extent of trauma and prepare for medical emergency procedures and find applications in general and military healthcare.

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Section: Composite Sensor Kit For Real-time Multiparameter Physiologimentioning

confidence: 94%

“…For calculating Respiratory Rate and Systolic Blood Pressure, ECG waveforms were used with Pulse Transit Time calculations. [40] [41]. The scores were calculated in real time.…”

Section: Trauma and Injury Severity Scoring For Probability Of Survivmentioning

confidence: 99%

Composite and Wearable Sensor Kit for Location Aware Healthcare Monitoring and Real-Time Trauma Scoring for Survival Prediction.

Walinjkar¹

2018

Preprint

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“…Aligned with figure 4, the presence of R-peak in acquired ECG signal is always marked as a proximal point (PAT0). With reference to PPG, the observed immediate peak or fall is considered as an end signal that results the systolic and diastolic BP respectively PTT bottom (PTTb) and PTT top (PTTt) as per the usage of terms in the mentioned figure [5]. PTTb = SBP & PTTt = DBP (5) The end of PTT varied based on methods and sensors used to obtain the pulse wave.…”

Section: Fig 5 Acquisition Of Ptt Using Ecg and Ppg (Source: Sarvesmentioning

confidence: 99%

“…In the current scenario, PTT is the only accepted method to estimate BP invasively without cuff and any explicit instrument in place. Applying statistical techniques like linear regression, the formula for BP estimation is arrived [5][6][7][8][9].…”

Section: Fig 5 Acquisition Of Ptt Using Ecg and Ppg (Source: Sarvesmentioning

confidence: 99%

Exploiting the Interdependence of Electrocardiography (ECG) with Other Physiological Parameters of Human Body in Remote Monitoring System

Revathi¹,

Samydurai²

2019

IJITEE

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Human body holds physiological parameters like heart rate (HR), respiration rate (RR), temperature, blood glucose level and blood pressure (BP) that indicates the health state. Monitoring these vital signs detect early signs of significant diseases like cardio-vascular and pulmonary which increase the death ratio as 70% of global death and in India it was attributed to 61% as per World Health Organization (WHO) report. With advancement in modern technologies health monitoring is achievable without affecting their regular activities and by making people to be at anywhere, not to be in hospital for long stay. In this paper the relevance between electrocardiography (ECG) and remaining other physiological measures is highlighted which will be incorporated in the design of health monitoring device in near future by revealing its complexity and ensures the high comfortability in accessing the device.

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“…Several methods are available for estimating the blood pressure and recording the blood pressure waveform from the pulse oximeter. In conjunction with the electrocardiogram (ECG), it is also possible to assess the pulse transit time [19][20][21][22].…”

Section: Introductionmentioning

confidence: 99%

Screening System for Cardiac Problems through Non-Invasive Identification of Blood Pressure Waveform

2020

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Estimation of Blood Pressure by Using Electrocardiogram (ECG) and Photo-Plethysmogram (PPG)

Cited by 15 publications

References 5 publications

Composite and Wearable Sensor Kit for Location Aware Healthcare Monitoring and Real-Time Trauma Scoring for Survival Prediction.

Composite and Wearable Sensor Kit for Location Aware Healthcare Monitoring and Real-Time Trauma Scoring for Survival Prediction.

Exploiting the Interdependence of Electrocardiography (ECG) with Other Physiological Parameters of Human Body in Remote Monitoring System

Screening System for Cardiac Problems through Non-Invasive Identification of Blood Pressure Waveform

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