e-journal

An Ear-Worn Sensor for the Detection of Gait Impairment After Abdominal Surgery

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Surgery to the trunk often results in a change of gait, most pronounced during walking. This change is usually transient, often as a result of wound pain, and returns to normal as the patient recovers. Quantifying and monitoring gait impairment therefore represents a novel means of functional postoperative home recovery follow-up. Until now, this type of assessment could only be made in a gait lab, which is both expensive and labor intensive to administer on a large scale. The objective of this work is to validate the use of an ear-worn activity recognition (e-AR) sensor for
quantification of gait impairment after abdominal wall and perianal surgery. The e-AR sensor was used on 2 comparative simulated data sets (N = 32) of truncal impairment to observe walking patterns. The sensor was also used to observe the walking patterns of preoperative and postoperative surgical patients who had undergone abdominal wall (n = 5) and perianal surgery (n = 5). Methods for multiresolution feature extraction, selection, and classification are investigated using the raw ear-sensor data. Results show that the method demonstrates a good separation between impaired and
nonimpaired classes for both simulated and real patient data sets. This indicates that the e-AR sensor may be used
as a tool for the pervasive assessment of postoperative gait impairment, as part of functional recovery monitoring, in patients at their own homes.

Keywords body sensor networks, impairment, recovery, postoperative

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Informasi Detail

Judul Seri

Surgical Innovation

No. Panggil

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Penerbit

: SAGE Publications Ltd., 2013

Deskripsi Fisik

Surgical Innovation 20(1) 86– 94 , 2013

Bahasa

English

ISBN/ISSN

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Klasifikasi

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Tipe Isi

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Tipe Media

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Tipe Pembawa

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Edisi

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Subjek

BIOKIMIA

Info Detail Spesifik

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Pernyataan Tanggungjawab

hasnidar/agus

Versi lain/terkait

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