Integrated Wearable System for Monitoring Heart Rate and Step during Physical Activity
This paper integrates a heart rate (HR) monitoring system with step counter for use during physical activities. Novel step counter algorithm has been developed to enable the highly accurate detection of step. The proposed system comprises a wireless wearable device, a smartphone, and a remote server...
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Veröffentlicht in: | Mobile information systems 2016-01, Vol.2016 (2016), p.1-10 |
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container_title | Mobile information systems |
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creator | Lee, Ming-Wei Chou, Nai-Kuan Yeh, Chun-I Prawiro, Eka Adi Prasetyo Joko Lin, Yuan-Hsiang |
description | This paper integrates a heart rate (HR) monitoring system with step counter for use during physical activities. Novel step counter algorithm has been developed to enable the highly accurate detection of step. The proposed system comprises a wireless wearable device, a smartphone, and a remote server. Data transmission between a wearable device and a smartphone is conducted via Bluetooth low energy (BLE). An indirect contact measurement method has also been devised to eliminate the need for direct contact electrodes and likelihood of skin irritation. The proposed system is compact, lightweight, and comfortable to wear. A smartphone application provides the interface for the display of data related to HR, step count (SC), exercise intensity, speed, distance, and calories burned, as well as waveforms related to ECG and step cycle. ECG peak detection algorithm achieved accuracy of 99.7% using the MIT-BIH ST Change Database. Accuracy of 98.89% was achieved for HR and 98.96% for SC at treadmill speeds of 1.8 to 9.0 km/h. |
doi_str_mv | 10.1155/2016/6850168 |
format | Article |
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Novel step counter algorithm has been developed to enable the highly accurate detection of step. The proposed system comprises a wireless wearable device, a smartphone, and a remote server. Data transmission between a wearable device and a smartphone is conducted via Bluetooth low energy (BLE). An indirect contact measurement method has also been devised to eliminate the need for direct contact electrodes and likelihood of skin irritation. The proposed system is compact, lightweight, and comfortable to wear. A smartphone application provides the interface for the display of data related to HR, step count (SC), exercise intensity, speed, distance, and calories burned, as well as waveforms related to ECG and step cycle. ECG peak detection algorithm achieved accuracy of 99.7% using the MIT-BIH ST Change Database. 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Novel step counter algorithm has been developed to enable the highly accurate detection of step. The proposed system comprises a wireless wearable device, a smartphone, and a remote server. Data transmission between a wearable device and a smartphone is conducted via Bluetooth low energy (BLE). An indirect contact measurement method has also been devised to eliminate the need for direct contact electrodes and likelihood of skin irritation. The proposed system is compact, lightweight, and comfortable to wear. A smartphone application provides the interface for the display of data related to HR, step count (SC), exercise intensity, speed, distance, and calories burned, as well as waveforms related to ECG and step cycle. ECG peak detection algorithm achieved accuracy of 99.7% using the MIT-BIH ST Change Database. Accuracy of 98.89% was achieved for HR and 98.96% for SC at treadmill speeds of 1.8 to 9.0 km/h.</description><subject>Bluetooth</subject><subject>Data transmission</subject><subject>Energy measurement</subject><subject>Exercise</subject><subject>Heart rate</subject><subject>Irritation</subject><subject>Monitoring</subject><subject>Smartphones</subject><subject>Waveforms</subject><subject>Wearable technology</subject><subject>Wireless communications</subject><issn>1574-017X</issn><issn>1875-905X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>RHX</sourceid><recordid>eNqF0N9LwzAQB_AgCs7pm88S8FGrSdv86OMY6gYTxQ3dW0nby5axtTPJlP73Znbgo_dyB_fhDr4IXVJyRylj9zGh_J5LFpo8Qj0qBYsywubHYWYijQgV81N05tyKEE4SJnrofVx7WFjlocIfoKwq1oCnrfOwwbqx-LmpjW-sqRd4FNYevwWKVV3hqYctrna_q9dl60yp1nhQevNlfHuOTrRaO7g49D6aPT7MhqNo8vI0Hg4mUZlw4qOUxyymklFNiSyylDMgkhcCiICKJIqlVNAYNGQZAVUQVsSalhkjiWZKZEkfXXdnt7b53IHz-arZ2Tp8zEMWiZBSpHFQt50qbeOcBZ1vrdko2-aU5Pvg9pjnh-ACv-n40tSV-jb_6atOQzCg1Z8OxYRIfgB6RXYI</recordid><startdate>20160101</startdate><enddate>20160101</enddate><creator>Lee, Ming-Wei</creator><creator>Chou, Nai-Kuan</creator><creator>Yeh, Chun-I</creator><creator>Prawiro, Eka Adi Prasetyo Joko</creator><creator>Lin, Yuan-Hsiang</creator><general>Hindawi Publishing Corporation</general><general>Hindawi Limited</general><scope>ADJCN</scope><scope>AHFXO</scope><scope>RHU</scope><scope>RHW</scope><scope>RHX</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></search><sort><creationdate>20160101</creationdate><title>Integrated Wearable System for Monitoring Heart Rate and Step during Physical Activity</title><author>Lee, Ming-Wei ; Chou, Nai-Kuan ; Yeh, Chun-I ; Prawiro, Eka Adi Prasetyo Joko ; Lin, Yuan-Hsiang</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c360t-462521851f108b9465e086b7e07ed03a541712efe990eab05b2f1c9503f5a793</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Bluetooth</topic><topic>Data transmission</topic><topic>Energy measurement</topic><topic>Exercise</topic><topic>Heart rate</topic><topic>Irritation</topic><topic>Monitoring</topic><topic>Smartphones</topic><topic>Waveforms</topic><topic>Wearable technology</topic><topic>Wireless communications</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Lee, Ming-Wei</creatorcontrib><creatorcontrib>Chou, Nai-Kuan</creatorcontrib><creatorcontrib>Yeh, Chun-I</creatorcontrib><creatorcontrib>Prawiro, Eka Adi Prasetyo Joko</creatorcontrib><creatorcontrib>Lin, Yuan-Hsiang</creatorcontrib><collection>الدوريات العلمية والإحصائية - e-Marefa Academic and Statistical Periodicals</collection><collection>معرفة - المحتوى العربي الأكاديمي المتكامل - e-Marefa Academic Complete</collection><collection>Hindawi Publishing Complete</collection><collection>Hindawi Publishing Subscription Journals</collection><collection>Hindawi Publishing Open Access</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>Mobile information systems</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Lee, Ming-Wei</au><au>Chou, Nai-Kuan</au><au>Yeh, Chun-I</au><au>Prawiro, Eka Adi Prasetyo Joko</au><au>Lin, Yuan-Hsiang</au><au>Shahzad, Basit</au><au>Basit Shahzad</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Integrated Wearable System for Monitoring Heart Rate and Step during Physical Activity</atitle><jtitle>Mobile information systems</jtitle><date>2016-01-01</date><risdate>2016</risdate><volume>2016</volume><issue>2016</issue><spage>1</spage><epage>10</epage><pages>1-10</pages><issn>1574-017X</issn><eissn>1875-905X</eissn><abstract>This paper integrates a heart rate (HR) monitoring system with step counter for use during physical activities. Novel step counter algorithm has been developed to enable the highly accurate detection of step. The proposed system comprises a wireless wearable device, a smartphone, and a remote server. Data transmission between a wearable device and a smartphone is conducted via Bluetooth low energy (BLE). An indirect contact measurement method has also been devised to eliminate the need for direct contact electrodes and likelihood of skin irritation. The proposed system is compact, lightweight, and comfortable to wear. A smartphone application provides the interface for the display of data related to HR, step count (SC), exercise intensity, speed, distance, and calories burned, as well as waveforms related to ECG and step cycle. ECG peak detection algorithm achieved accuracy of 99.7% using the MIT-BIH ST Change Database. Accuracy of 98.89% was achieved for HR and 98.96% for SC at treadmill speeds of 1.8 to 9.0 km/h.</abstract><cop>Cairo, Egypt</cop><pub>Hindawi Publishing Corporation</pub><doi>10.1155/2016/6850168</doi><tpages>10</tpages><oa>free_for_read</oa></addata></record> |
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source | Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; Wiley-Blackwell Open Access Titles; Alma/SFX Local Collection |
subjects | Bluetooth Data transmission Energy measurement Exercise Heart rate Irritation Monitoring Smartphones Waveforms Wearable technology Wireless communications |
title | Integrated Wearable System for Monitoring Heart Rate and Step during Physical Activity |
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