A Smart Wearable Ring Device for Sensing Hand Tremor of Parkinson's Patients
Parkinson's disease (PD) is a very common neurodegenerative disease that occurs mostly in the fielderly. There are many main clinical manifestations of PD, such as tremor, bradykinesia, muscle rigidity, etc. Based on the current research on PD, the accurate and convenient detection of early sym...
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| Veröffentlicht in: | Computer modeling in engineering & sciences 2021, Vol.126 (3), p.1217-1238 |
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| creator | Yang, Haixia Shen, Yixian Zhuang, Wei Gao, Chunming Dai, Dong Zhang, Weigong |
| description | Parkinson's disease (PD) is a very common neurodegenerative disease that occurs mostly in the fielderly. There are many main clinical manifestations of PD, such as tremor, bradykinesia, muscle rigidity, etc. Based on the current research on PD, the accurate and convenient detection
of early symptoms is the key to detect PD. With the development of microelectronic and sensor technology, it is much easier to measure the barely noticeable tremor in just one hand for the early detection of Parkinson's disease. In this paper, we present a smart wearable device for detecting
hand tremor, in which MPU6050 (MIDI Processing Unit) consisting of a 3-axis gyroscope and a 3-axis accelerometer is used to collect acceleration and angular velocity of ngers. By analyzing the time of specific nger movements, we successfully recognized the tremor signals with high accuracy.
Meanwhile, with Bluetooth 4.0 (Bluetooth Low Energy, BLE) and networking terminal ability, tremor data can be transferred to a monitoring device in real time with extremely low energy consumption. The experimental results have shown that the proposed device (smart ring) is convenient for long-term
tremor detection which is vital for early detection and treatment for Parkinson's disease. |
| doi_str_mv | 10.32604/cmes.2021.014558 |
| format | Article |
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of early symptoms is the key to detect PD. With the development of microelectronic and sensor technology, it is much easier to measure the barely noticeable tremor in just one hand for the early detection of Parkinson's disease. In this paper, we present a smart wearable device for detecting
hand tremor, in which MPU6050 (MIDI Processing Unit) consisting of a 3-axis gyroscope and a 3-axis accelerometer is used to collect acceleration and angular velocity of ngers. By analyzing the time of specific nger movements, we successfully recognized the tremor signals with high accuracy.
Meanwhile, with Bluetooth 4.0 (Bluetooth Low Energy, BLE) and networking terminal ability, tremor data can be transferred to a monitoring device in real time with extremely low energy consumption. The experimental results have shown that the proposed device (smart ring) is convenient for long-term
tremor detection which is vital for early detection and treatment for Parkinson's disease.</description><identifier>ISSN: 1526-1492</identifier><identifier>ISSN: 1526-1506</identifier><identifier>EISSN: 1526-1506</identifier><identifier>DOI: 10.32604/cmes.2021.014558</identifier><language>eng</language><publisher>Henderson: Tech Science Press</publisher><subject>Acceleration ; Accelerometers ; Angular velocity ; Ble ; Bluetooth ; Energy consumption ; Fingers ; Hand (anatomy) ; Imu Sensor ; Mpu6050 ; Muscles ; Parkinson's Disease ; Signs and symptoms ; Three axis ; Tremor Detection ; Tremors ; Wearable technology</subject><ispartof>Computer modeling in engineering & sciences, 2021, Vol.126 (3), p.1217-1238</ispartof><rights>2021. This work is licensed under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3608-7b741dfb723557f30aa1806b482fe3754d103a461c0e99a0a73c3f0ac3443c863</citedby><cites>FETCH-LOGICAL-c3608-7b741dfb723557f30aa1806b482fe3754d103a461c0e99a0a73c3f0ac3443c863</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,4010,27900,27901,27902</link.rule.ids></links><search><creatorcontrib>Yang, Haixia</creatorcontrib><creatorcontrib>Shen, Yixian</creatorcontrib><creatorcontrib>Zhuang, Wei</creatorcontrib><creatorcontrib>Gao, Chunming</creatorcontrib><creatorcontrib>Dai, Dong</creatorcontrib><creatorcontrib>Zhang, Weigong</creatorcontrib><title>A Smart Wearable Ring Device for Sensing Hand Tremor of Parkinson's Patients</title><title>Computer modeling in engineering & sciences</title><description>Parkinson's disease (PD) is a very common neurodegenerative disease that occurs mostly in the fielderly. There are many main clinical manifestations of PD, such as tremor, bradykinesia, muscle rigidity, etc. Based on the current research on PD, the accurate and convenient detection
of early symptoms is the key to detect PD. With the development of microelectronic and sensor technology, it is much easier to measure the barely noticeable tremor in just one hand for the early detection of Parkinson's disease. In this paper, we present a smart wearable device for detecting
hand tremor, in which MPU6050 (MIDI Processing Unit) consisting of a 3-axis gyroscope and a 3-axis accelerometer is used to collect acceleration and angular velocity of ngers. By analyzing the time of specific nger movements, we successfully recognized the tremor signals with high accuracy.
Meanwhile, with Bluetooth 4.0 (Bluetooth Low Energy, BLE) and networking terminal ability, tremor data can be transferred to a monitoring device in real time with extremely low energy consumption. The experimental results have shown that the proposed device (smart ring) is convenient for long-term
tremor detection which is vital for early detection and treatment for Parkinson's disease.</description><subject>Acceleration</subject><subject>Accelerometers</subject><subject>Angular velocity</subject><subject>Ble</subject><subject>Bluetooth</subject><subject>Energy consumption</subject><subject>Fingers</subject><subject>Hand (anatomy)</subject><subject>Imu Sensor</subject><subject>Mpu6050</subject><subject>Muscles</subject><subject>Parkinson's Disease</subject><subject>Signs and symptoms</subject><subject>Three axis</subject><subject>Tremor Detection</subject><subject>Tremors</subject><subject>Wearable technology</subject><issn>1526-1492</issn><issn>1526-1506</issn><issn>1526-1506</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNp1kU1LAzEQhoMoWKs_wNuCB0-tmXzt7s3iV4VCxVY8hmw2KVvbbE22Bf31ZruKXswlLy8zzzDvIHQOeEiJwOxKr00YEkxgiIFxnh2gHnAiBsCxOPzRLCfH6CSEJcZU0Czvockoma2Vb5JXo7wqViZ5rtwiuTW7SpvE1j6ZGRdaa6xcmcy9WUevtsmT8m-VC7W7DFE3lXFNOEVHVq2COfv---jl_m5-Mx5Mpg-PN6PJQFOBs0FapAxKW6SEcp5aipWCDIuCZcQamnJWAqaKCdDY5LnCKqWaWqw0ZYzqTNA-uui4G1-_b01o5LLeehdHSsJyloKgvK2Crkr7OgRvrNz4Ku76IQHLfWiyDU22ockutNhz3fXEjeNG6hfchM3f8vYBEZ2IacqYYWvxiJj-g6j0ntKeor2E3EWAo3sgzkFIYACyNFZtV41slJeLTxki8Qum0oxN</recordid><startdate>2021</startdate><enddate>2021</enddate><creator>Yang, Haixia</creator><creator>Shen, Yixian</creator><creator>Zhuang, Wei</creator><creator>Gao, Chunming</creator><creator>Dai, Dong</creator><creator>Zhang, Weigong</creator><general>Tech Science Press</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7TB</scope><scope>8FD</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>JQ2</scope><scope>KR7</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope></search><sort><creationdate>2021</creationdate><title>A Smart Wearable Ring Device for Sensing Hand Tremor of Parkinson's Patients</title><author>Yang, Haixia ; Shen, Yixian ; Zhuang, Wei ; Gao, Chunming ; Dai, Dong ; Zhang, Weigong</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3608-7b741dfb723557f30aa1806b482fe3754d103a461c0e99a0a73c3f0ac3443c863</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Acceleration</topic><topic>Accelerometers</topic><topic>Angular velocity</topic><topic>Ble</topic><topic>Bluetooth</topic><topic>Energy consumption</topic><topic>Fingers</topic><topic>Hand (anatomy)</topic><topic>Imu Sensor</topic><topic>Mpu6050</topic><topic>Muscles</topic><topic>Parkinson's Disease</topic><topic>Signs and symptoms</topic><topic>Three axis</topic><topic>Tremor Detection</topic><topic>Tremors</topic><topic>Wearable technology</topic><toplevel>online_resources</toplevel><creatorcontrib>Yang, Haixia</creatorcontrib><creatorcontrib>Shen, Yixian</creatorcontrib><creatorcontrib>Zhuang, Wei</creatorcontrib><creatorcontrib>Gao, Chunming</creatorcontrib><creatorcontrib>Dai, Dong</creatorcontrib><creatorcontrib>Zhang, Weigong</creatorcontrib><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><jtitle>Computer modeling in engineering & sciences</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Yang, Haixia</au><au>Shen, Yixian</au><au>Zhuang, Wei</au><au>Gao, Chunming</au><au>Dai, Dong</au><au>Zhang, Weigong</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A Smart Wearable Ring Device for Sensing Hand Tremor of Parkinson's Patients</atitle><jtitle>Computer modeling in engineering & sciences</jtitle><date>2021</date><risdate>2021</risdate><volume>126</volume><issue>3</issue><spage>1217</spage><epage>1238</epage><pages>1217-1238</pages><issn>1526-1492</issn><issn>1526-1506</issn><eissn>1526-1506</eissn><abstract>Parkinson's disease (PD) is a very common neurodegenerative disease that occurs mostly in the fielderly. There are many main clinical manifestations of PD, such as tremor, bradykinesia, muscle rigidity, etc. Based on the current research on PD, the accurate and convenient detection
of early symptoms is the key to detect PD. With the development of microelectronic and sensor technology, it is much easier to measure the barely noticeable tremor in just one hand for the early detection of Parkinson's disease. In this paper, we present a smart wearable device for detecting
hand tremor, in which MPU6050 (MIDI Processing Unit) consisting of a 3-axis gyroscope and a 3-axis accelerometer is used to collect acceleration and angular velocity of ngers. By analyzing the time of specific nger movements, we successfully recognized the tremor signals with high accuracy.
Meanwhile, with Bluetooth 4.0 (Bluetooth Low Energy, BLE) and networking terminal ability, tremor data can be transferred to a monitoring device in real time with extremely low energy consumption. The experimental results have shown that the proposed device (smart ring) is convenient for long-term
tremor detection which is vital for early detection and treatment for Parkinson's disease.</abstract><cop>Henderson</cop><pub>Tech Science Press</pub><doi>10.32604/cmes.2021.014558</doi><tpages>22</tpages><oa>free_for_read</oa></addata></record> |
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| source | Tech Science Press; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals |
| subjects | Acceleration Accelerometers Angular velocity Ble Bluetooth Energy consumption Fingers Hand (anatomy) Imu Sensor Mpu6050 Muscles Parkinson's Disease Signs and symptoms Three axis Tremor Detection Tremors Wearable technology |
| title | A Smart Wearable Ring Device for Sensing Hand Tremor of Parkinson's Patients |
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