Academic Journal
An Ear-Worn Sensor for the Detection of Gait Impairment After Abdominal Surgery
| Τίτλος: | An Ear-Worn Sensor for the Detection of Gait Impairment After Abdominal Surgery |
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| Συγγραφείς: | Atallah, Louis, Aziz, Omer, Gray, Edward, Lo, Benny, Yang, Guang-Zhong |
| Πηγή: | Atallah, L, Aziz, O, Gray, E, Lo, B & Yang, G-Z 2013, 'An ear-worn sensor for the detection of gait impairment after abdominal surgery', Surgical innovation, vol. 20, no. 1, pp. 86-94. https://doi.org/10.1177/1553350612445639 |
| Στοιχεία εκδότη: | SAGE Publications, 2012. |
| Έτος έκδοσης: | 2012 |
| Θεματικοί όροι: | Monitoring, Neural Networks, Anal Canal, Monitoring, Ambulatory, Walking, Wireless Technology/instrumentation, Computer, 03 medical and health sciences, Monitoring, Ambulatory/instrumentation, Computer-Assisted, 0302 clinical medicine, Theoretical, Models, Abdominal Wall/surgery, Humans, Computer Simulation, Postoperative Period, Mobility Limitation, Gait, Manchester Cancer Research Centre, Ambulatory/instrumentation, Abdominal Wall, Anal Canal/surgery, Ear, Signal Processing, Computer-Assisted, Recovery of Function, Models, Theoretical, ResearchInstitutes_Networks_Beacons/mcrc, name=Manchester Cancer Research Centre, Recovery of Function/physiology, Walking/classification, Signal Processing, Neural Networks, Computer, Gait/physiology, Wireless Technology, Algorithms |
| Περιγραφή: | 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. |
| Τύπος εγγράφου: | Article |
| Γλώσσα: | English |
| ISSN: | 1553-3514 1553-3506 |
| DOI: | 10.1177/1553350612445639 |
| Σύνδεσμος πρόσβασης: | https://pubmed.ncbi.nlm.nih.gov/22641465 https://pubmed.ncbi.nlm.nih.gov/22641465/ https://journals.sagepub.com/doi/10.1177/1553350612445639 https://www.research.manchester.ac.uk/portal/en/publications/an-earworn-sensor-for-the-detection-of-gait-impairment-after-abdominal-surgery(bcefc86e-8681-4d25-a37e-5dcdb61c8714).html https://www.ncbi.nlm.nih.gov/pubmed/22641465 |
| Rights: | URL: https://journals.sagepub.com/page/policies/text-and-data-mining-license |
| Αριθμός Καταχώρησης: | edsair.doi.dedup.....ff09147dea6c27e4aefd04f4ac9666a0 |
| Βάση Δεδομένων: | OpenAIRE |
| ISSN: | 15533514 15533506 |
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| DOI: | 10.1177/1553350612445639 |