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完整後設資料紀錄
DC 欄位 | 值 | 語言 |
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dc.contributor.advisor | 賴飛羆 | |
dc.contributor.author | Xin-Yu Lin | en |
dc.contributor.author | 林芯妤 | zh_TW |
dc.date.accessioned | 2021-06-16T02:39:45Z | - |
dc.date.available | 2018-08-03 | |
dc.date.copyright | 2015-08-03 | |
dc.date.issued | 2015 | |
dc.date.submitted | 2015-07-23 | |
dc.identifier.citation | [1] A. Guttmann, M. J. Schull, M. J. Vermeulen, and T. A. Stukel, “Association between waiting times and short term mortality and hospital admission after departure from emergency department: population based cohort study from Ontario, Canada,” British Medical Journal, vol. 342, Jun 1, 2011.
[2] J. C. Moskop, D. P. Sklar, J. M. Geiderman, R. M. Schears, and K. J. Bookman, “Emergency Department Crowding, Part 1-Concept, Causes, and Moral Consequences,” Annals of Emergency Medicine, vol. 53, no. 5, pp. 605-611, May, 2009. [3] J. C. Moskop, D. P. Sklar, J. M. Geiderman, R. M. Schears, and K. J. Bookman, “Emergency Department Crowding, Part 2-Barriers to Reform and Strategies to Overcome Them,” Annals of Emergency Medicine, vol. 53, no. 5, pp. 612-617, May, 2009. [4] Hospital and Clinic statistics, Ministry of health and Welfare (Taiwan), Available: http://www.mohw.gov.tw/EN/Ministry. [5] R. W. Schafermeyer, and B. R. Asplin, “Hospital and emergency department crowding in the United States,” Emerg Med (Fremantle), vol. 15, no. 1, pp. 22-7, Feb, 2003. [6] Y. Y. Gu, A. Lo, and I. Niemegeers, “A Survey of Indoor Positioning Systems for Wireless Personal Networks,” Ieee Communications Surveys and Tutorials, vol. 11, no. 1, pp. 13-32, 2009. [7] Bluetooth specification, (available online at http://www.bluetooth.com) [8] M. Altini, D. Brunelli, E. Farella, and L. Benini, 'Bluetooth indoor localization with multiple neural networks,' 51h International Symposium on Wireless Pervasive Computing, 2010, pp. 295-300. [9] S. Zhou and J. K. Pollard. 'Position measurement using Bluetooth.' IEEE Transactions on Consumer Electronics. vol. 52. no. 2. pp. 555- 558, May 2006. [10] Apple Inc., 'iOS: Understanding iBeacon', available: http://support. apple.comlkb/HT6048. [11] Related article about Apple iBeacon: 'iOS:Understanding iBeacon', (available online at: http://support.apple.com/en-us/HT6048) [12] 'iBeacons enhance apps' location awareness via Bluetooth LE', (available online at: http://appleinsider.com/articlesI13/06/19Iinside-ios-7-ibeacons-enhance-apps-locat ion-awareness-via-bluetooth-Ie). [13] J. Zhu, K. Zeng, K Kim, P. Mohapatra, 'Improving crowd-sourced wi-fi localization systems using bluetooth beacons,' Sensor, Mesh and Ad Hoc Communications and Networks, 2012, pp. 290-298. [14] Wi-Fi specification, (available online at: http://www.wi-fi.org). [15] ZigBee specification, (available online at: http://www.zigbee.org). [16] P. Prasithsangaree, P. Krishnamurthy, P.K. Chrysanthis, “On Indoor Position “Location With Wireless LAN,” IEEE Personal, Indoor and Mobile Radio Communication, 2002. [17] A. Goldsmith, Wireless Communications, Cambridge University Press, 2005. [18] M. Brunato and R. Battiti, “Statistical learning theory for location fingerprinting in wireless LANs,” Computer Networks, vol. 47, no. 6, pp. 825–845, 2005. [19] T. Roos, P. Myllymaki, H. Tirri, P. Misikangas, and J. Sievanen, “A probabilistic approach to WLAN user location estimation,” International J. Wireless Inform. Networks, vol. 9, no. 3, pp. 155–164, 2002. [20] M. A. Youssef, A. Agrawala, and A. U. Shankar, “WLAN location determination via clustering and probability distributions,” in Pervasive Computing and Commun., pp. 143–150, 2003. [21] B. Li, J. Salter, A. G. Dempster, and C. Rizos, 'Indoor positioning techniques based on wireless lan,' Auswireless Conference, 2006. [22] J. Small, A. Smailagic, and D. P. Siewiorek, 'Determining User Location for Context Aware Computing through the Use of a Wireless LAN Infrastructure,' Online, Dec. 2000. [23] Fang, S.-H., T.-N. Lin, and K.-C. Lee, “A novel algorithm for multipath fingerprinting in indoor WLAN environments,” IEEE Trans. Wireless Commun., Vol. 7, No. 9, September 2008. [24] T. Alhmiedat, G. Samara, and A. O. A. Salem, “An indoor fingerprinting localization approach for ZigBee wireless sensor networks,” European Journal of Scientific Research, vol. 105, 2013, pp. 190-202. [25] Kajioka, Shinsuke, et al. 'Experiment of indoor position presumption based on RSSI of Bluetooth LE beacon.' Consumer Electronics (GCCE), 2014 IEEE 3rd Global Conference on. IEEE, 2014. [26] Apple Inc., 'Wi-Fi and Bluetooth: Potential sources of wireless interference', available: https://support.apple.com/en-us/HT201542. | |
dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/54094 | - |
dc.description.abstract | 近年來,世界各國醫院急診壅塞的狀況已成為一件極須被關注的問題,本研 究欲利用無線通訊技術搭配手機應用程式及網路雲端服務來提昇台大醫院急診室 的管理及行政效率。在此研究中,我們運用安裝於病人的手機的應用程式及低功 率藍牙之技術,結合台大醫院的醫療資訊系統,實作室內定位功能,以便醫護人 員隨時追蹤病患在急診室內的位置。此外,我們也建立了醫護人員端與病患端的 訊息溝通系統,以幫助建立零時差,且無所不在的急診醫療與照護服務。整體的 急診服務將能因此系統而變得更數位化、透明化與簡單化,而病患與醫療人員也 都能藉此得到協助與便利性。對醫護人員而言,他們能夠利用室內定位功能來在 手機或電腦隨時查看病人的位置,也能夠藉由此系統與病患方便且快速的溝通。 對病患而言,他們也可以藉由手機應用程式得到足夠的資訊,來了解現在自己受 到關注和處理的情形,進而減少等待的焦躁。
本系統的定位功能是建基於低功率藍芽無線傳輸技術,並以接收訊號強 度為基礎的方法,定位出病患行動裝置在急診室中的位置,來取得病患的位置資 訊。本研究共進行了數次試驗,包含在試驗環境中,以及實際在醫院急診室中, 從實驗數據來看,我們的定位演算法分別在這兩種環境下能夠達到 97.22% 及 92.95%(95%信心水準區間=95.90%~98.55%,及 88.88% ─ 97.02%)的定位準 確度。因此我們的機制是足以使醫護人員信任這套系統來作為他們追蹤病人位置 的有力工具。 總括來說,本系統協助急診服務變得更加透明化,並且也提昇醫師、護理師 與病人之間的互動關係。藉由這套系統,病人能夠更瞭解自己在急診室需要知道 的資訊,而醫護人員可以得到更完整的資訊來增進對病人的照護,進而能夠實踐 以病人為中心的照護流程。 | zh_TW |
dc.description.abstract | Emergency department overcrowding has become a problem over countries in recent years. The main purpose of this research is to increase the administrative efficiency with the help of information communication technology. In this study, we proposed a mobile-based indoor positioning and caregiver-patient communication system, which aims to establish a seamless emergency service for ubiquitous healthcare by using the mobile application (APP) and web technology integrated with the hospital information system (HIS). The overall process flow of the emergency service will be more digitized, transparent and simplified. Both patients and medical practitioners could obtain the benefits from our system. For the healthcare providers, they can utilize the indoor positioning function of the system to manage patients’ locations via the mobile or web application. They can also communicate to each other in an efficient way through this system. For the patients, they are able to receive sufficient information to understand their medical status in order to reduce their anxieties of waiting with the help of mobile APP.
We use the Bluetooth Low Energy (BLE) technology and Received Signal Strength (RSS) based localization method with the mobile devices to estimate the patients’ locations. Several experiments were conducted in the test-bed environment and emergency department. Our positioning algorithm achieves 97.22% and 92.95% (95% Confidence Interval = 95.90% ─ 98.55% and 88.88% ─ 97.02%) accuracy of classification in test-bed environment and emergency department. As the result, our mechanism is reliable enough to satisfy the need for medical staff to track the locations of their patients.  In conclusion, the system allows emergency services to be more transparent and increases the interaction among doctors, nurses and patients as well as their relatives. With this system, the procedures of emergency services will be better understood. Healthcare providers could have more complete information to take care of patients and to realize the patient-centered care. | en |
dc.description.provenance | Made available in DSpace on 2021-06-16T02:39:45Z (GMT). No. of bitstreams: 1 ntu-104-R02945024-1.pdf: 9849150 bytes, checksum: a905212aef1649e13abac7bb340246ff (MD5) Previous issue date: 2015 | en |
dc.description.tableofcontents | 口試委員會審定書 ......................................................................................................#
誌謝 ........................................................................................................................ i 中文摘要 ................................................................................................................. ii ABSTRACT ..............................................................................................................iv CONTENTS ........................................................................................................... vii LIST OF FIGURES ................................................................................................. viiii LIST OF TABLES........................................................................................................x Chapter 1 Introduction............................................................................................1 1.1 Background.......................................................................................................1 1.2 Motivation.........................................................................................................2 1.3 Objective...........................................................................................................4 Chapter 2 Literature Review ....................................................................................5 2.1 Indoor Localization............................................................................................5 Chapter 3 Methodology ..........................................................................................7 3.1 System Architecture..........................................................................................7 3.2 iBeacon Deployment .........................................................................................9 3.2.1 Introduction of iBeacon..................................................................................9 3.2.2 iBeacon Limitation........................................................................................11 3.2.3 iBeacon Management....................................................................................13 3.3 The Patients’ Mobile APP ................................................................................14 3.3.1 Home Page ..................................................................................................16 3.3.2 Send Requests to Medical Staff ....................................................................17 3.4 iBeacon Selection Method................................................................................18 3.5 Medical Staff’s Side..........................................................................................21 3.5.1 Patient List....................................................................................................21 3.5.2 Patient’s Locations .......................................................................................22 3.5.3 Patient’s Requests.........................................................................................24 3.5.4 Notify Patient.................................................................................................25 3.6 The Server Side.................................................................................................26 3.7 System Sequence Diagram ...............................................................................28 3.8 Experiment.......................................................................................................29 3.8.1 Experiment in test-bed .................................................................................29 3.8.2 Experiment in the hospital emergency department.........................................30 3.9 Result ..............................................................................................................32 3.9.1 Result in test-bed..........................................................................................32 3.9.2 Result in the hospital emergency department ................................................33 Chapter 4 Discussion ..............................................................................................34 4.1 Benefits of Indoor Positioning and Caregiver-patient comunuication System Used in the Emergency Department ................................................34 4.2 Limitation .........................................................................................................35 Chapter 5 Conclusion and Future Work ...................................................................36 REFERENCE .............................................................................................................38 | |
dc.language.iso | zh-TW | |
dc.title | 以行動裝置為基礎的室內定位及醫病溝通系統 | zh_TW |
dc.title | A Mobile Indoor Positioning and Caregiver-Patient Communication System | en |
dc.type | Thesis | |
dc.date.schoolyear | 103-2 | |
dc.description.degree | 碩士 | |
dc.contributor.oralexamcommittee | 陳澤雄,鐘玉芳,周憲政,蕭旭君 | |
dc.subject.keyword | 室內定位,醫病溝通,移動裝置應用,低功率藍芽,接收訊號強度為基礎, | zh_TW |
dc.subject.keyword | indoor positioning,doctor-patient communication,mobile application,Bluetooth Low Energy,received signal strength (RSS) based, | en |
dc.relation.page | 40 | |
dc.rights.note | 有償授權 | |
dc.date.accepted | 2015-07-23 | |
dc.contributor.author-college | 電機資訊學院 | zh_TW |
dc.contributor.author-dept | 生醫電子與資訊學研究所 | zh_TW |
顯示於系所單位: | 生醫電子與資訊學研究所 |
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ntu-104-1.pdf 目前未授權公開取用 | 9.62 MB | Adobe PDF |
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