Analysis of the Effect of Common Disturbances on the Safety of a Wearable Tremor Suppression Device
The advent of wearable technology has enabled a large number of externally worn mechatronic devices to be developed and tested on people with movement disorders. The complexity of these disorders and the variety of conditions across different patients have resulted in a pressing demand for the incor...
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Veröffentlicht in: | IEEE robotics and automation letters 2021-04, Vol.6 (2), p.2846-2853 |
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description | The advent of wearable technology has enabled a large number of externally worn mechatronic devices to be developed and tested on people with movement disorders. The complexity of these disorders and the variety of conditions across different patients have resulted in a pressing demand for the incorporation of intelligent control systems, especially for a wearable tremor suppression device (WTSD) that can suppress tremor without impeding the user's voluntary motion. Several devices have been developed to reduce tremor; however, the evaluations of these devices have only been done in a controlled lab setting, while the functionality and ability to avoid user injury under the effect of disturbances during daily use have not been investigated. In this study, the performance of a WTSD was tested with several commonly used tremor suppression control systems, i.e., Weight-frequency Fourier Linear Combiner (WFLC), Bandlimited Multiple Fourier Linear Combiner, and enhanced High-order WFLC-based Kalman Filter, on a bench-top tremor simulator. These systems were also tested under the influence of three simulated disturbances that are commonly seen in real life, i.e., data mutation, sensor drift, and measurement loss. The experimental evaluation showed that none of these systems are safe under the disturbances. The tremor power suppression ratio (67.8%-94.2%) of the WTSD was not significantly lowered by the disturbances; however, the error when tracking voluntary motion significantly increased by 8.8^\circ-93.6^\circ, which may present a safety hazard to the users. The results of this study emphasize the importance of integrating safety measures into intelligent WTSDs. |
doi_str_mv | 10.1109/LRA.2021.3062592 |
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The complexity of these disorders and the variety of conditions across different patients have resulted in a pressing demand for the incorporation of intelligent control systems, especially for a wearable tremor suppression device (WTSD) that can suppress tremor without impeding the user's voluntary motion. Several devices have been developed to reduce tremor; however, the evaluations of these devices have only been done in a controlled lab setting, while the functionality and ability to avoid user injury under the effect of disturbances during daily use have not been investigated. In this study, the performance of a WTSD was tested with several commonly used tremor suppression control systems, i.e., Weight-frequency Fourier Linear Combiner (WFLC), Bandlimited Multiple Fourier Linear Combiner, and enhanced High-order WFLC-based Kalman Filter, on a bench-top tremor simulator. These systems were also tested under the influence of three simulated disturbances that are commonly seen in real life, i.e., data mutation, sensor drift, and measurement loss. The experimental evaluation showed that none of these systems are safe under the disturbances. The tremor power suppression ratio (67.8%-94.2%) of the WTSD was not significantly lowered by the disturbances; however, the error when tracking voluntary motion significantly increased by 8.8<inline-formula><tex-math notation="LaTeX">^\circ</tex-math></inline-formula>-93.6<inline-formula><tex-math notation="LaTeX">^\circ</tex-math></inline-formula>, which may present a safety hazard to the users. The results of this study emphasize the importance of integrating safety measures into intelligent WTSDs.]]></description><identifier>ISSN: 2377-3766</identifier><identifier>EISSN: 2377-3766</identifier><identifier>DOI: 10.1109/LRA.2021.3062592</identifier><identifier>CODEN: IRALC6</identifier><language>eng</language><publisher>Piscataway: IEEE</publisher><subject>Control systems ; Disorders ; Disturbances ; Estimation ; Frequency measurement ; Indexes ; Injury prevention ; Kalman filters ; Microcontrollers ; Mutation ; Robot safety ; Robustness ; Safety ; Safety measures ; Three-dimensional displays ; Tremor (Muscular contraction) ; Tremors ; wearable robotics ; Wearable technology</subject><ispartof>IEEE robotics and automation letters, 2021-04, Vol.6 (2), p.2846-2853</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2021</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c291t-740c5c22e3dcf1c27461a1cc6376ad1e9ff3c9458fe1c880b9ef428cf86d57e83</citedby><cites>FETCH-LOGICAL-c291t-740c5c22e3dcf1c27461a1cc6376ad1e9ff3c9458fe1c880b9ef428cf86d57e83</cites><orcidid>0000-0002-8624-8730 ; 0000-0001-6278-2165 ; 0000-0002-3616-2891 ; 0000-0001-7603-7182</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/9364682$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,778,782,794,27907,27908,54741</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/9364682$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Zhou, Yue</creatorcontrib><creatorcontrib>Ibrahim, Anas</creatorcontrib><creatorcontrib>Jenkins, Mary E.</creatorcontrib><creatorcontrib>Naish, Michael D.</creatorcontrib><creatorcontrib>Trejos, Ana Luisa</creatorcontrib><title>Analysis of the Effect of Common Disturbances on the Safety of a Wearable Tremor Suppression Device</title><title>IEEE robotics and automation letters</title><addtitle>LRA</addtitle><description><![CDATA[The advent of wearable technology has enabled a large number of externally worn mechatronic devices to be developed and tested on people with movement disorders. The complexity of these disorders and the variety of conditions across different patients have resulted in a pressing demand for the incorporation of intelligent control systems, especially for a wearable tremor suppression device (WTSD) that can suppress tremor without impeding the user's voluntary motion. Several devices have been developed to reduce tremor; however, the evaluations of these devices have only been done in a controlled lab setting, while the functionality and ability to avoid user injury under the effect of disturbances during daily use have not been investigated. In this study, the performance of a WTSD was tested with several commonly used tremor suppression control systems, i.e., Weight-frequency Fourier Linear Combiner (WFLC), Bandlimited Multiple Fourier Linear Combiner, and enhanced High-order WFLC-based Kalman Filter, on a bench-top tremor simulator. These systems were also tested under the influence of three simulated disturbances that are commonly seen in real life, i.e., data mutation, sensor drift, and measurement loss. The experimental evaluation showed that none of these systems are safe under the disturbances. The tremor power suppression ratio (67.8%-94.2%) of the WTSD was not significantly lowered by the disturbances; however, the error when tracking voluntary motion significantly increased by 8.8<inline-formula><tex-math notation="LaTeX">^\circ</tex-math></inline-formula>-93.6<inline-formula><tex-math notation="LaTeX">^\circ</tex-math></inline-formula>, which may present a safety hazard to the users. The results of this study emphasize the importance of integrating safety measures into intelligent WTSDs.]]></description><subject>Control systems</subject><subject>Disorders</subject><subject>Disturbances</subject><subject>Estimation</subject><subject>Frequency measurement</subject><subject>Indexes</subject><subject>Injury prevention</subject><subject>Kalman filters</subject><subject>Microcontrollers</subject><subject>Mutation</subject><subject>Robot safety</subject><subject>Robustness</subject><subject>Safety</subject><subject>Safety measures</subject><subject>Three-dimensional displays</subject><subject>Tremor (Muscular contraction)</subject><subject>Tremors</subject><subject>wearable robotics</subject><subject>Wearable technology</subject><issn>2377-3766</issn><issn>2377-3766</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNpNkE1LAzEQhoMoWGrvgpcFz1vzsUk2x1JrFQqCrXgM6XSCW7ofJrtC_727toinmYHnHWYeQm4ZnTJGzcPqbTbllLOpoIpLwy_IiAutU6GVuvzXX5NJjHtKKZNcCyNHBGaVOxxjEZPaJ-0nJgvvEdphmtdlWVfJYxHbLmxdBdhD1S-0dh7b4wC55ANdcNsDJpuAZR2Sddc0AWMshix-F4A35Mq7Q8TJuY7J-9NiM39OV6_Ll_lslQI3rE11RkEC5yh24BlwnSnmGIDqL3c7hsZ7ASaTuUcGeU63Bn3Gc_C52kmNuRiT-9PeJtRfHcbW7usu9P9FyyWVunfDWU_REwWhjjGgt00oSheOllE72LS9TTvYtGebfeTuFCkQ8Q83QmUq5-IHELhwFg</recordid><startdate>20210401</startdate><enddate>20210401</enddate><creator>Zhou, Yue</creator><creator>Ibrahim, Anas</creator><creator>Jenkins, Mary E.</creator><creator>Naish, Michael D.</creator><creator>Trejos, Ana Luisa</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7SP</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><orcidid>https://orcid.org/0000-0002-8624-8730</orcidid><orcidid>https://orcid.org/0000-0001-6278-2165</orcidid><orcidid>https://orcid.org/0000-0002-3616-2891</orcidid><orcidid>https://orcid.org/0000-0001-7603-7182</orcidid></search><sort><creationdate>20210401</creationdate><title>Analysis of the Effect of Common Disturbances on the Safety of a Wearable Tremor Suppression Device</title><author>Zhou, Yue ; Ibrahim, Anas ; Jenkins, Mary E. ; Naish, Michael D. ; Trejos, Ana Luisa</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c291t-740c5c22e3dcf1c27461a1cc6376ad1e9ff3c9458fe1c880b9ef428cf86d57e83</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Control systems</topic><topic>Disorders</topic><topic>Disturbances</topic><topic>Estimation</topic><topic>Frequency measurement</topic><topic>Indexes</topic><topic>Injury prevention</topic><topic>Kalman filters</topic><topic>Microcontrollers</topic><topic>Mutation</topic><topic>Robot safety</topic><topic>Robustness</topic><topic>Safety</topic><topic>Safety measures</topic><topic>Three-dimensional displays</topic><topic>Tremor (Muscular contraction)</topic><topic>Tremors</topic><topic>wearable robotics</topic><topic>Wearable technology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zhou, Yue</creatorcontrib><creatorcontrib>Ibrahim, Anas</creatorcontrib><creatorcontrib>Jenkins, Mary E.</creatorcontrib><creatorcontrib>Naish, Michael D.</creatorcontrib><creatorcontrib>Trejos, Ana Luisa</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>IEEE robotics and automation letters</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Zhou, Yue</au><au>Ibrahim, Anas</au><au>Jenkins, Mary E.</au><au>Naish, Michael D.</au><au>Trejos, Ana Luisa</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Analysis of the Effect of Common Disturbances on the Safety of a Wearable Tremor Suppression Device</atitle><jtitle>IEEE robotics and automation letters</jtitle><stitle>LRA</stitle><date>2021-04-01</date><risdate>2021</risdate><volume>6</volume><issue>2</issue><spage>2846</spage><epage>2853</epage><pages>2846-2853</pages><issn>2377-3766</issn><eissn>2377-3766</eissn><coden>IRALC6</coden><abstract><![CDATA[The advent of wearable technology has enabled a large number of externally worn mechatronic devices to be developed and tested on people with movement disorders. The complexity of these disorders and the variety of conditions across different patients have resulted in a pressing demand for the incorporation of intelligent control systems, especially for a wearable tremor suppression device (WTSD) that can suppress tremor without impeding the user's voluntary motion. Several devices have been developed to reduce tremor; however, the evaluations of these devices have only been done in a controlled lab setting, while the functionality and ability to avoid user injury under the effect of disturbances during daily use have not been investigated. In this study, the performance of a WTSD was tested with several commonly used tremor suppression control systems, i.e., Weight-frequency Fourier Linear Combiner (WFLC), Bandlimited Multiple Fourier Linear Combiner, and enhanced High-order WFLC-based Kalman Filter, on a bench-top tremor simulator. These systems were also tested under the influence of three simulated disturbances that are commonly seen in real life, i.e., data mutation, sensor drift, and measurement loss. The experimental evaluation showed that none of these systems are safe under the disturbances. The tremor power suppression ratio (67.8%-94.2%) of the WTSD was not significantly lowered by the disturbances; however, the error when tracking voluntary motion significantly increased by 8.8<inline-formula><tex-math notation="LaTeX">^\circ</tex-math></inline-formula>-93.6<inline-formula><tex-math notation="LaTeX">^\circ</tex-math></inline-formula>, which may present a safety hazard to the users. The results of this study emphasize the importance of integrating safety measures into intelligent WTSDs.]]></abstract><cop>Piscataway</cop><pub>IEEE</pub><doi>10.1109/LRA.2021.3062592</doi><tpages>8</tpages><orcidid>https://orcid.org/0000-0002-8624-8730</orcidid><orcidid>https://orcid.org/0000-0001-6278-2165</orcidid><orcidid>https://orcid.org/0000-0002-3616-2891</orcidid><orcidid>https://orcid.org/0000-0001-7603-7182</orcidid></addata></record> |
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subjects | Control systems Disorders Disturbances Estimation Frequency measurement Indexes Injury prevention Kalman filters Microcontrollers Mutation Robot safety Robustness Safety Safety measures Three-dimensional displays Tremor (Muscular contraction) Tremors wearable robotics Wearable technology |
title | Analysis of the Effect of Common Disturbances on the Safety of a Wearable Tremor Suppression Device |
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