Characterisation of accelerometer on an ambulatory patient monitoringdevice for fall detection

P Catherwood; M Hiepp; JAD McLaughlin

Characterisation of accelerometer on an ambulatory patient monitoringdevice for fall detection

P Catherwood, M Hiepp, JAD McLaughlin

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

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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.

Original language	English
Title of host publication	Unknown Host Publication
Publisher	Irish Software Innovation Network
Number of pages	1
Publication status	Published (in print/issue) - 13 Oct 2010
Event	Intel European Research and Innovation Conference - Dublin, Ireland Duration: 13 Oct 2010 → …

Conference

Conference	Intel European Research and Innovation Conference
Period	13/10/10 → …

Bibliographical 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.

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PACatherwood Intel2010Author Accepted Manuscript, 21.4 KB

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 {\textquoteleft}activities of daily living{\textquoteright} (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.; Intel European Research and Innovation Conference ; Conference date: 13-10-2010",

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month = oct,

day = "13",

language = "English",

booktitle = "Unknown Host Publication",

publisher = "Irish Software Innovation Network",

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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

PB - Irish Software Innovation Network

T2 - Intel European Research and Innovation Conference

Y2 - 13 October 2010

ER -

Characterisation of accelerometer on an ambulatory patient monitoringdevice for fall detection

Abstract

Conference

Bibliographical note

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