Towards Pulse Detection and Rhythm Analysis using a Biomimetic Fingertip

Emmett Kerr; TM McGinnity; SA Coleman; Andrea Shepherd

doi:10.1109/IJCNN.2015.7280690

Towards Pulse Detection and Rhythm Analysis using a Biomimetic Fingertip

Department of Employment and Learning (DEL)

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

4 Citations (Scopus)

Abstract

Pulse rate and rhythm are indicators of the health of a human's blood circulation. Being able to detect one's pulse rate and rhythm in an emergency situation could be the difference between life and death. The work presented in this paper is preliminary work on algorithms that will equip a robot with the necessary skills to assess a human's pulse. Algorithms for pulse detection and the calculation of beats per minute (bpm) and Pulse to Pulse Interval (PPI) are presented and used to classify if a heart rate is normal, bradycardic, or tachycardic. Furthermore PPI is used to determine if the pulse rate is regular or in a form of arrhythmia. The results in this paper show that pulse was successfully detected and a subjects bpm calculated using a trough detection method. Furthermore the system proved to be capable of classifying the pulse as being regular or arrhythmic.

Original language	English
Title of host publication	Unknown Host Publication
Publisher	IEEE
Number of pages	8
DOIs	https://doi.org/10.1109/IJCNN.2015.7280690
Publication status	Published (in print/issue) - 12 Jul 2015
Event	2015 International Joint Conference on Neural Networks (IJCNN), - Killarney Duration: 12 Jul 2015 → …

Conference

Conference	2015 International Joint Conference on Neural Networks (IJCNN),
Period	12/07/15 → …

UN SDGs

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

SDG 3 Good Health and Well-being
SDG 9 Industry, Innovation, and Infrastructure
SDG 11 Sustainable Cities and Communities

Keywords

pulse detection
tactile sensing
robotics

Access to Document

10.1109/IJCNN.2015.7280690

Brain-computer interface technology use involving people with disorders of consciousness and locked-in syndrome: the lived experience of families
Shepherd, A. (Author), Goode, D. (Supervisor), Cook, N. (Supervisor) & Coyle, D. (Supervisor), Mar 2026
Student thesis: Doctoral Thesis
Tactile sensing for assistive robotics
Kerr, E. (Author), Mc Ginnity, T. (Supervisor) & Coleman, S. (Supervisor), May 2018
Student thesis: Doctoral Thesis

File

Cite this

@inproceedings{33559641bccc4f51aaccde25d6eb3fea,

title = "Towards Pulse Detection and Rhythm Analysis using a Biomimetic Fingertip",

abstract = "Pulse rate and rhythm are indicators of the health of a human's blood circulation. Being able to detect one's pulse rate and rhythm in an emergency situation could be the difference between life and death. The work presented in this paper is preliminary work on algorithms that will equip a robot with the necessary skills to assess a human's pulse. Algorithms for pulse detection and the calculation of beats per minute (bpm) and Pulse to Pulse Interval (PPI) are presented and used to classify if a heart rate is normal, bradycardic, or tachycardic. Furthermore PPI is used to determine if the pulse rate is regular or in a form of arrhythmia. The results in this paper show that pulse was successfully detected and a subjects bpm calculated using a trough detection method. Furthermore the system proved to be capable of classifying the pulse as being regular or arrhythmic.",

keywords = "pulse detection, tactile sensing, robotics",

author = "Emmett Kerr and TM McGinnity and SA Coleman and Andrea Shepherd",

year = "2015",

month = jul,

day = "12",

doi = "10.1109/IJCNN.2015.7280690",

language = "English",

booktitle = "Unknown Host Publication",

publisher = "IEEE",

address = "United States",

note = "2015 International Joint Conference on Neural Networks (IJCNN), ; Conference date: 12-07-2015",

}

TY - GEN

T1 - Towards Pulse Detection and Rhythm Analysis using a Biomimetic Fingertip

AU - Kerr, Emmett

AU - McGinnity, TM

AU - Coleman, SA

AU - Shepherd, Andrea

PY - 2015/7/12

Y1 - 2015/7/12

N2 - Pulse rate and rhythm are indicators of the health of a human's blood circulation. Being able to detect one's pulse rate and rhythm in an emergency situation could be the difference between life and death. The work presented in this paper is preliminary work on algorithms that will equip a robot with the necessary skills to assess a human's pulse. Algorithms for pulse detection and the calculation of beats per minute (bpm) and Pulse to Pulse Interval (PPI) are presented and used to classify if a heart rate is normal, bradycardic, or tachycardic. Furthermore PPI is used to determine if the pulse rate is regular or in a form of arrhythmia. The results in this paper show that pulse was successfully detected and a subjects bpm calculated using a trough detection method. Furthermore the system proved to be capable of classifying the pulse as being regular or arrhythmic.

AB - Pulse rate and rhythm are indicators of the health of a human's blood circulation. Being able to detect one's pulse rate and rhythm in an emergency situation could be the difference between life and death. The work presented in this paper is preliminary work on algorithms that will equip a robot with the necessary skills to assess a human's pulse. Algorithms for pulse detection and the calculation of beats per minute (bpm) and Pulse to Pulse Interval (PPI) are presented and used to classify if a heart rate is normal, bradycardic, or tachycardic. Furthermore PPI is used to determine if the pulse rate is regular or in a form of arrhythmia. The results in this paper show that pulse was successfully detected and a subjects bpm calculated using a trough detection method. Furthermore the system proved to be capable of classifying the pulse as being regular or arrhythmic.

KW - pulse detection

KW - tactile sensing

KW - robotics

U2 - 10.1109/IJCNN.2015.7280690

DO - 10.1109/IJCNN.2015.7280690

M3 - Conference contribution

BT - Unknown Host Publication

PB - IEEE

T2 - 2015 International Joint Conference on Neural Networks (IJCNN),

Y2 - 12 July 2015

ER -

Towards Pulse Detection and Rhythm Analysis using a Biomimetic Fingertip

Abstract

Conference

UN SDGs

Keywords

Access to Document

Fingerprint

Student theses

Brain-computer interface technology use involving people with disorders of consciousness and locked-in syndrome: the lived experience of families

Tactile sensing for assistive robotics

Cite this