962 Heartlight - Delivery Room Acquisition Time for a Novel Forehead Heart Rate Sensor for Newborn Resuscitation

Heart rate monitoring is the predominant quantitative health indicator of a newborn in the delivery room. A rapid and accurate heart rate measurement is vital during the first minutes after birth. Clinical recommendations suggest that electrocardiogram (ECG) monitoring should be widely adopted in the neonatal intensive care unit to reduce infant mortality and improve long term health outcomes in births that require intervention. Novel non-contact electrocardiogram sensors can reduce the time from birth to heart rate reading as well as providing unobtrusive and continuous monitoring during intervention. In this work we report the design and development of a solution to provide high resolution, real time electrocardiogram data to the clinicians within the delivery room using non-contact electric potential sensors embedded in a neonatal intensive care unit mattress. A real-time high-resolution electrocardiogram acquisition solution based on a low power embedded system was developed and textile embedded electrodes were fabricated and characterised. Proof of concept tests were carried out on simulated and human cardiac signals, producing electrocardiograms suitable for the calculation of heart rate having an accuracy within ±1 beat per minute using a test ECG signal, ECG recordings from a human volunteer with a correlation coefficient of ~ 87% proved accurate beat to beat morphology reproduction of the waveform without morphological alterations and a time from application to heart rate display below 6 s. This provides evidence that flexible non-contact textile-based electrodes can be embedded in wearable devices for assisting births through heart rate monitoring and serves as a proof of concept for a complete neonate electrocardiogram monitoring system.

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Accuracy of Pulse Oximetry Measurement of Heart Rate of Newborn Infants in the Delivery Room

The Journal of Pediatrics ◽

10.1016/j.jpeds.2008.01.002 ◽

2008 ◽

Vol 152 (6) ◽

pp. 756-760 ◽

Cited By ~ 100

Author(s):

C. Omar F. Kamlin ◽

Jennifer A. Dawson ◽

Colm P.F. O'Donnell ◽

Colin J. Morley ◽

Susan M. Donath ◽

...

Keyword(s):

Heart Rate ◽

Pulse Oximetry ◽

Newborn Infants ◽

Delivery Room

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A Low-Power Heart Rate Sensor with Adaptive Heartbeat Locked Loop

2021 IEEE International Symposium on Circuits and Systems (ISCAS) ◽

10.1109/iscas51556.2021.9401726 ◽

2021 ◽

Author(s):

Zhouchen Ma ◽

Cheng Chen ◽

Min Wang ◽

Yang Zhao ◽

Liang Ying ◽

...

Keyword(s):

Heart Rate ◽

Low Power ◽

Rate Sensor

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Wearable Sensors and Their Metrics for Measuring Comprehensive Occupational Fatigue: A Scoping Review

Proceedings of the Human Factors and Ergonomics Society Annual Meeting ◽

10.1177/1541931213601744 ◽

2017 ◽

Vol 61 (1) ◽

pp. 1041-1045 ◽

Cited By ~ 1

Author(s):

Yibo Zhu ◽

Rasik R Jankay ◽

Laura C Pieratt ◽

Ranjana K. Mehta

Keyword(s):

Heart Rate ◽

Scoping Review ◽

Wearable Sensors ◽

Health And Safety ◽

Exclusion Criteria ◽

Multidimensional Construct ◽

Ovid Medline ◽

Rate Sensor ◽

Sleep Length ◽

Occupational Fatigue

Extensive research has been conducted to study the effects of physical and sleep related fatigue on occupational health and safety. However, fatigue is a complex multidimensional construct, that is task- and occupation-dependent, and our knowledge on how to measure this complex construct is limited. A scoping review was conducted to: 1) review sensors and their metrics currently employed in occupational fatigue studies, 2) identify overlap between sensors and associated metrics that can be leveraged to assess comprehensive fatigue, 3) investigating the effectiveness of the sensors/metrics, and 4) recommended potential sensor/metric combinations to evaluate comprehensive fatigue. 512 unique abstracts were identified through Ovid-MEDLINE, MEDLINE, Embase and Cinal databases and application of the inclusion/exclusion criteria resulted in 27 articles that were included for the review. Heart rate sensors and actigraphs were identified to be the most suitable devices to study comprehensive fatigue. Heart rate trend within the heart rate sensor, and sleep length and sleep efficiency within actigraphs were found to be the most popular and reliable metrics for measuring occupational fatigue.

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Monitoring heart rate in the delivery room

Seminars in Fetal and Neonatal Medicine ◽

10.1016/j.siny.2018.07.001 ◽

2018 ◽

Vol 23 (5) ◽

pp. 327-332 ◽

Cited By ~ 3

Author(s):

J.A. Dawson ◽

G.M. Schmölzer ◽

J. Wyllie

Keyword(s):

Heart Rate ◽

Delivery Room

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Accuracy of real-time delivery room resuscitation documentation

Archives of Disease in Childhood - Fetal and Neonatal Edition ◽

10.1136/archdischild-2018-315723 ◽

2018 ◽

Vol 105 (2) ◽

pp. 222-224 ◽

Cited By ~ 2

Author(s):

Claire E Fishman ◽

Danielle D Weinberg ◽

Ashley Murray ◽

Elizabeth E Foglia

Keyword(s):

Heart Rate ◽

Oxygen Saturation ◽

Real Time ◽

Vital Sign ◽

Gold Standard ◽

Neonatal Intensive Care ◽

Video Recording ◽

Neonatal Resuscitation ◽

Delivery Room ◽

Level 3

ObjectiveTo assess the accuracy of real-time delivery room resuscitation documentation.DesignRetrospective observational study.SettingLevel 3 academic neonatal intensive care unit.ParticipantsFifty infants with video recording of neonatal resuscitation.Main outcome measuresVital sign assessments and interventions performed during resuscitation. The accuracy of written documentation was compared with video gold standard.ResultsTiming of initial heart rate assessment agreed with video in 44/50 (88%) records; the documented heart rate was correct in 34/44 (77%) of these. Heart rate and oxygen saturation were documented at 5 min of life in 90% of resuscitations. Of these, 100% of heart rate and 93% of oxygen saturation values were correctly recorded. Written records accurately reflected the mode(s) of respiratory support for 89%–100%, procedures for 91%–100% and medications for 100% of events.ConclusionReal-time documentation correctly reflects interventions performed during delivery room resuscitation but is less accurate for early vital sign assessments.

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Microcontroller Based Portable Incubator Monitoring Tool with Short Message Service (SMS) notifications

Journal of Physics Conference Series ◽

10.1088/1742-6596/2111/1/012026 ◽

2021 ◽

Vol 2111 (1) ◽

pp. 012026

Author(s):

Muhammad Irmansyah ◽

Efrizon ◽

Anggara Nasution ◽

Era Madona

Keyword(s):

Heart Rate ◽

Short Message Service ◽

Average Error ◽

Short Message ◽

Monitoring Tool ◽

Premature Babies ◽

Pulse Sensor ◽

Message Service ◽

Rate Sensor ◽

Weight Sensor

Abstract The aim of this research was applied a microcontroller, temperature sensor, weight sensor, heart rate sensor and GSM module to monitoring and notification of the condition of premature babies in portable incubators. The hardware used consists of a DS18B20 sensor, Load Cell, Pulse Heart Rate Sensor, Buzzer, LCD and SIM800L Module. The results showed the Pulse sensor and DS18B20 sensor could measure and detect the baby’s heart rate and baby temperature. The result was on the LCD with an average error of 4.354% for heartrate and 1.437% for temperature. The loadcell sensor can detect weight with an error of 2.16%. The duration of sending SMS to Smartphone is 8s for each delivery. SMS was sent if the baby weak and critical condition.

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Prediction of Menstrual Cycle Phase by Wearable Heart Rate Sensor

Advances in Computer and Electrical Engineering - Research Advancements in Smart Technology, Optimization, and Renewable Energy ◽

10.4018/978-1-7998-3970-5.ch001 ◽

2021 ◽

pp. 1-15

Author(s):

Junichiro Hayano ◽

Emi Yuda

Keyword(s):

Heart Rate ◽

Menstrual Cycle ◽

Technological Development ◽

Unmet Need ◽

Cycle Phase ◽

Rate Data ◽

Menstrual Cycle Phase ◽

Heart Rate Data ◽

Rate Sensor

The prediction of the menstrual cycle phase and fertility window by easily measurable bio-signals is an unmet need and such technological development will greatly contribute to women's QoL. Although many studies have reported differences in autonomic indices of heart rate variability (HRV) between follicular and luteal phases, they have not yet reached the level that can predict the menstrual cycle phases. The recent development of wearable sensors-enabled heart rate monitoring during daily life. The long-term heart rate data obtained by them carry plenty of information, and the information that can be extracted by conventional HRV analysis is only a limited part of it. This chapter introduces comprehensive analyses of long-term heart rate data that may be useful for revealing their associations with the menstrual cycle phase.

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