Human Pulse and Respiratory Signal Analysis using a Robot Hand equipped with a Biomimetic Fingertip

Emmett Kerr; Sonya Coleman; T.Martin McGinnity; Andrea Shepherd

Human Pulse and Respiratory Signal Analysis using a Robot Hand equipped with a Biomimetic Fingertip

Emmett Kerr, Sonya Coleman, T.Martin McGinnity, Andrea Shepherd

Research output: Contribution to journal › Article › peer-review

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Abstract

Two key indicators of human health are pulse and respiratory rate. Being able to measure pulse (rate and rhythm) and respiratory rate (RR) in an emergency or search and rescue situation could be the difference between life and death. This paper presents novel algorithms that will equip a robot with the necessary skills to assess a human’s pulse and RR. Algorithms that calculate heart beats per minute (bpm), Pulse to Pulse Interval (PPI), RR and Breath to Breath Interval (BBI) are
presented. The bpm is used to classify if a heart rate is normal, bradycardic, or tachycardic. PPI is used to determine if the pulse rate is regular or in a form of arrhythmia. The RR and BBI are
used to determine if the humans breathing is normal and regular. The results in this paper show that pulse and breathing were successfully measured and a subject’s bpm and RR calculated
using a trough detection method following a two stage noise reduction filter. Furthermore the robotic system proved to be capable of classifying the pulse as being regular or arrhythmic
and the RR as being regular or irregular.

Original language	English
Journal	International Journal of Electrical, Electronics and Data Communication
Publication status	Accepted/In press - 17 Oct 2019

Keywords

Tactile Sensing
Signal Processing
Artificial Intelligence
Human Vital Sign Detection
pattern recognition

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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ICAISC_2019_paper_draft_v3_AcceptedAuthor Accepted Manuscript, 2.5 MBLicence: Unspecified

Emmett Kerr
- ep.kerrulster.acuk
- School of Computing, Eng & Intel. Sys - Lecturer in Mechanical Engineering
- Faculty Of Computing, Eng. & Built Env. - Lecturer
Person: Academic

Cite this

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title = "Human Pulse and Respiratory Signal Analysis using a Robot Hand equipped with a Biomimetic Fingertip",

abstract = "Two key indicators of human health are pulse and respiratory rate. Being able to measure pulse (rate and rhythm) and respiratory rate (RR) in an emergency or search and rescue situation could be the difference between life and death. This paper presents novel algorithms that will equip a robot with the necessary skills to assess a human{\textquoteright}s pulse and RR. Algorithms that calculate heart beats per minute (bpm), Pulse to Pulse Interval (PPI), RR and Breath to Breath Interval (BBI) arepresented. The bpm is used to classify if a heart rate is normal, bradycardic, or tachycardic. PPI is used to determine if the pulse rate is regular or in a form of arrhythmia. The RR and BBI areused to determine if the humans breathing is normal and regular. The results in this paper show that pulse and breathing were successfully measured and a subject{\textquoteright}s bpm and RR calculatedusing a trough detection method following a two stage noise reduction filter. Furthermore the robotic system proved to be capable of classifying the pulse as being regular or arrhythmicand the RR as being regular or irregular. ",

keywords = "Tactile Sensing, Signal Processing, Artificial Intelligence, Human Vital Sign Detection, pattern recognition",

author = "Emmett Kerr and Sonya Coleman and T.Martin McGinnity and Andrea Shepherd",

year = "2019",

month = oct,

day = "17",

language = "English",

journal = "International Journal of Electrical, Electronics and Data Communication",

issn = "2321-2950",

}

TY - JOUR

T1 - Human Pulse and Respiratory Signal Analysis using a Robot Hand equipped with a Biomimetic Fingertip

AU - Kerr, Emmett

AU - Coleman, Sonya

AU - McGinnity, T.Martin

AU - Shepherd, Andrea

PY - 2019/10/17

Y1 - 2019/10/17

N2 - Two key indicators of human health are pulse and respiratory rate. Being able to measure pulse (rate and rhythm) and respiratory rate (RR) in an emergency or search and rescue situation could be the difference between life and death. This paper presents novel algorithms that will equip a robot with the necessary skills to assess a human’s pulse and RR. Algorithms that calculate heart beats per minute (bpm), Pulse to Pulse Interval (PPI), RR and Breath to Breath Interval (BBI) arepresented. The bpm is used to classify if a heart rate is normal, bradycardic, or tachycardic. PPI is used to determine if the pulse rate is regular or in a form of arrhythmia. The RR and BBI areused to determine if the humans breathing is normal and regular. The results in this paper show that pulse and breathing were successfully measured and a subject’s bpm and RR calculatedusing a trough detection method following a two stage noise reduction filter. Furthermore the robotic system proved to be capable of classifying the pulse as being regular or arrhythmicand the RR as being regular or irregular.

AB - Two key indicators of human health are pulse and respiratory rate. Being able to measure pulse (rate and rhythm) and respiratory rate (RR) in an emergency or search and rescue situation could be the difference between life and death. This paper presents novel algorithms that will equip a robot with the necessary skills to assess a human’s pulse and RR. Algorithms that calculate heart beats per minute (bpm), Pulse to Pulse Interval (PPI), RR and Breath to Breath Interval (BBI) arepresented. The bpm is used to classify if a heart rate is normal, bradycardic, or tachycardic. PPI is used to determine if the pulse rate is regular or in a form of arrhythmia. The RR and BBI areused to determine if the humans breathing is normal and regular. The results in this paper show that pulse and breathing were successfully measured and a subject’s bpm and RR calculatedusing a trough detection method following a two stage noise reduction filter. Furthermore the robotic system proved to be capable of classifying the pulse as being regular or arrhythmicand the RR as being regular or irregular.

KW - Tactile Sensing

KW - Signal Processing

KW - Artificial Intelligence

KW - Human Vital Sign Detection

KW - pattern recognition

M3 - Article

SN - 2321-2950

JO - International Journal of Electrical, Electronics and Data Communication

JF - International Journal of Electrical, Electronics and Data Communication

ER -

Human Pulse and Respiratory Signal Analysis using a Robot Hand equipped with a Biomimetic Fingertip

Abstract

Keywords

UN SDGs

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Emmett Kerr

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