Characterisation of accelerometer on an ambulatory patient monitoringdevice for fall detection

P Catherwood, M Hiepp, JAD McLaughlin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper reports on the results of research undertaken to develop a wearable ambulatory fall detector with integrated vitalsigns by implementing a novel algorithm onto a newly CE approved wireless vitalsigns monitor. An ambulatory monitor that alarms on fall events is of clear benefit to the elderly, infirm or those living independently; to enhance their health, sense of safety and wellness. Results show that during laboratory testing, movements categorised as ‘activities of daily living’ (ADL) were detected with around 90% accuracy and falls detected with 100% accuracy, with all data being independently verified using 2 alternative technologies.
LanguageEnglish
Title of host publicationUnknown Host Publication
Number of pages1
Publication statusPublished - 13 Oct 2010
EventIntel European Research and Innovation Conference - Dublin, Ireland
Duration: 13 Oct 2010 → …

Conference

ConferenceIntel European Research and Innovation Conference
Period13/10/10 → …

Fingerprint

Accelerometers
Health
Detectors
Testing

Cite this

@inproceedings{ee19ae179c9d435ea547c8831358ba01,
title = "Characterisation of accelerometer on an ambulatory patient monitoringdevice for fall detection",
abstract = "This paper reports on the results of research undertaken to develop a wearable ambulatory fall detector with integrated vitalsigns by implementing a novel algorithm onto a newly CE approved wireless vitalsigns monitor. An ambulatory monitor that alarms on fall events is of clear benefit to the elderly, infirm or those living independently; to enhance their health, sense of safety and wellness. Results show that during laboratory testing, movements categorised as ‘activities of daily living’ (ADL) were detected with around 90{\%} accuracy and falls detected with 100{\%} accuracy, with all data being independently verified using 2 alternative technologies.",
author = "P Catherwood and M Hiepp and JAD McLaughlin",
note = "Reference text: [1] P Catherwood, et al. ECG Motion Artefact Reduction Improvements of a Chest-based Wireless Patient Monitoring System. CinC2010, 26/9/10–29/9/10. 2] R. Harper, P.A. Catherwood, et al. Evaluation of a CE Approved Ambulatory Patient Monitoring Device in a General Medical Ward. Engineering in Medicine and Biology Conference, 31/8/10 – 4/9/10.",
year = "2010",
month = "10",
day = "13",
language = "English",
booktitle = "Unknown Host Publication",

}

Catherwood, P, Hiepp, M & McLaughlin, JAD 2010, Characterisation of accelerometer on an ambulatory patient monitoringdevice for fall detection. in Unknown Host Publication. Intel European Research and Innovation Conference, 13/10/10.

Characterisation of accelerometer on an ambulatory patient monitoringdevice for fall detection. / Catherwood, P; Hiepp, M; McLaughlin, JAD.

Unknown Host Publication. 2010.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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T1 - Characterisation of accelerometer on an ambulatory patient monitoringdevice for fall detection

AU - Catherwood, P

AU - Hiepp, M

AU - McLaughlin, JAD

N1 - Reference text: [1] P Catherwood, et al. ECG Motion Artefact Reduction Improvements of a Chest-based Wireless Patient Monitoring System. CinC2010, 26/9/10–29/9/10. 2] R. Harper, P.A. Catherwood, et al. Evaluation of a CE Approved Ambulatory Patient Monitoring Device in a General Medical Ward. Engineering in Medicine and Biology Conference, 31/8/10 – 4/9/10.

PY - 2010/10/13

Y1 - 2010/10/13

N2 - This paper reports on the results of research undertaken to develop a wearable ambulatory fall detector with integrated vitalsigns by implementing a novel algorithm onto a newly CE approved wireless vitalsigns monitor. An ambulatory monitor that alarms on fall events is of clear benefit to the elderly, infirm or those living independently; to enhance their health, sense of safety and wellness. Results show that during laboratory testing, movements categorised as ‘activities of daily living’ (ADL) were detected with around 90% accuracy and falls detected with 100% accuracy, with all data being independently verified using 2 alternative technologies.

AB - This paper reports on the results of research undertaken to develop a wearable ambulatory fall detector with integrated vitalsigns by implementing a novel algorithm onto a newly CE approved wireless vitalsigns monitor. An ambulatory monitor that alarms on fall events is of clear benefit to the elderly, infirm or those living independently; to enhance their health, sense of safety and wellness. Results show that during laboratory testing, movements categorised as ‘activities of daily living’ (ADL) were detected with around 90% accuracy and falls detected with 100% accuracy, with all data being independently verified using 2 alternative technologies.

M3 - Conference contribution

BT - Unknown Host Publication

ER -