A Power-Efficient Sensing Approach for Pulse Wave Palpation-Based Heart Rate Measurement

Heart rate (HR) is an essential indicator of health in the human body. It measures the number of times per minute that the heart contracts or beats. An irregular heartbeat can signify a severe health condition, so monitoring heart rate periodically can help prevent heart complications. This paper pr...

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Main Authors: Gabriel Bravo, Jesús M. Silva, Salvador A. Noriega, Erwin A. Martínez, Francisco J. Enríquez, Ernesto Sifuentes
Format: Article
Language:English
Published: MDPI AG 2021-11-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/21/22/7549
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author Gabriel Bravo
Jesús M. Silva
Salvador A. Noriega
Erwin A. Martínez
Francisco J. Enríquez
Ernesto Sifuentes
author_facet Gabriel Bravo
Jesús M. Silva
Salvador A. Noriega
Erwin A. Martínez
Francisco J. Enríquez
Ernesto Sifuentes
author_sort Gabriel Bravo
collection DOAJ
description Heart rate (HR) is an essential indicator of health in the human body. It measures the number of times per minute that the heart contracts or beats. An irregular heartbeat can signify a severe health condition, so monitoring heart rate periodically can help prevent heart complications. This paper presents a novel wearable sensing approach for remote HR measurement by a compact resistance-to-microcontroller interface circuit. A heartbeat’s signal can be detected by a Force Sensing Resistor (FSR) attached to the body near large arteries (such as the carotid or radial), which expand their area each time the heart expels blood to the body. Depending on how the sensor interfaces with the subject, the FSR changes its electrical resistance every time a pulse is detected. By placing the FSR in a direct interface circuit, those resistance variations can be measured directly by a microcontroller without using either analog processing stages or an analog-to-digital converter. In this kind of interface, the self-heating of the sensor is avoided, since the FSR does not require any voltage or bias current. The proposed system has a sampling rate of 50 Sa/s, and an effective resolution of 10 bits (200 mΩ), enough for obtaining well-shaped cardiac signals and heart rate estimations in real time by the microcontroller. With this approach, the implementation of wearable systems in health monitoring applications is more feasible.
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spelling doaj.art-e1beee7543ec41489d882318f01dd6732023-11-23T01:25:24ZengMDPI AGSensors1424-82202021-11-012122754910.3390/s21227549A Power-Efficient Sensing Approach for Pulse Wave Palpation-Based Heart Rate MeasurementGabriel Bravo0Jesús M. Silva1Salvador A. Noriega2Erwin A. Martínez3Francisco J. Enríquez4Ernesto Sifuentes5Institute of Engineering and Technology, Universidad Autónoma de Ciudad Juárez (UACJ), Ciudad Juárez 32310, MexicoInstitute of Engineering and Technology, Universidad Autónoma de Ciudad Juárez (UACJ), Ciudad Juárez 32310, MexicoInstitute of Engineering and Technology, Universidad Autónoma de Ciudad Juárez (UACJ), Ciudad Juárez 32310, MexicoInstitute of Engineering and Technology, Universidad Autónoma de Ciudad Juárez (UACJ), Ciudad Juárez 32310, MexicoInstitute of Engineering and Technology, Universidad Autónoma de Ciudad Juárez (UACJ), Ciudad Juárez 32310, MexicoInstitute of Engineering and Technology, Universidad Autónoma de Ciudad Juárez (UACJ), Ciudad Juárez 32310, MexicoHeart rate (HR) is an essential indicator of health in the human body. It measures the number of times per minute that the heart contracts or beats. An irregular heartbeat can signify a severe health condition, so monitoring heart rate periodically can help prevent heart complications. This paper presents a novel wearable sensing approach for remote HR measurement by a compact resistance-to-microcontroller interface circuit. A heartbeat’s signal can be detected by a Force Sensing Resistor (FSR) attached to the body near large arteries (such as the carotid or radial), which expand their area each time the heart expels blood to the body. Depending on how the sensor interfaces with the subject, the FSR changes its electrical resistance every time a pulse is detected. By placing the FSR in a direct interface circuit, those resistance variations can be measured directly by a microcontroller without using either analog processing stages or an analog-to-digital converter. In this kind of interface, the self-heating of the sensor is avoided, since the FSR does not require any voltage or bias current. The proposed system has a sampling rate of 50 Sa/s, and an effective resolution of 10 bits (200 mΩ), enough for obtaining well-shaped cardiac signals and heart rate estimations in real time by the microcontroller. With this approach, the implementation of wearable systems in health monitoring applications is more feasible.https://www.mdpi.com/1424-8220/21/22/7549wearable health monitoringresistance-to-time interface circuitforce-sensing resistordirect microcontroller interface circuitheart rate measurement
spellingShingle Gabriel Bravo
Jesús M. Silva
Salvador A. Noriega
Erwin A. Martínez
Francisco J. Enríquez
Ernesto Sifuentes
A Power-Efficient Sensing Approach for Pulse Wave Palpation-Based Heart Rate Measurement
Sensors
wearable health monitoring
resistance-to-time interface circuit
force-sensing resistor
direct microcontroller interface circuit
heart rate measurement
title A Power-Efficient Sensing Approach for Pulse Wave Palpation-Based Heart Rate Measurement
title_full A Power-Efficient Sensing Approach for Pulse Wave Palpation-Based Heart Rate Measurement
title_fullStr A Power-Efficient Sensing Approach for Pulse Wave Palpation-Based Heart Rate Measurement
title_full_unstemmed A Power-Efficient Sensing Approach for Pulse Wave Palpation-Based Heart Rate Measurement
title_short A Power-Efficient Sensing Approach for Pulse Wave Palpation-Based Heart Rate Measurement
title_sort power efficient sensing approach for pulse wave palpation based heart rate measurement
topic wearable health monitoring
resistance-to-time interface circuit
force-sensing resistor
direct microcontroller interface circuit
heart rate measurement
url https://www.mdpi.com/1424-8220/21/22/7549
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