摘要(英) |
In recent years, wearable devices are one of indispensable products. The advantages of wearable devices that help us to solve the problem and bring us a more convenient daily life, such as use of wearable devices to monitor a person walking steps, heart rate and the quality of sleep, etc. Nowadays, Sleep issue has become increasing seriousness, there are more and more people suffer from insomnia or sleep disorder. In order to assess sleep efficiency by wearable devices. Therefore, this thesis is about to proposes a sleep efficiency assessment system based on artificial neural networks.
This system which based on MLP and RBFN, including users’ basic information, heart rate, calories, step, diet and sleep-related information to predict sleep efficiency, which also uses the Pearson coefficient, principal component analysis and Fisher ratio respectively, for the test feature to collect data for each feature correlation sleep efficiency, an additional function of the atmosphere device in the system, allowing users to take advantage of this means for adjusting environment, improve sleep efficiency.
The experiment in this thesis has compared to other sleep dataset and our dataset. We also refer to deep neural network to test the datasets, and compare accuracy for artificial neural networks. |
參考文獻 |
[1] 臺安醫院護理專欄.[Online]. Available:
http://www.tahsda.org.tw/newsletters/?p=641. [Accessed:10-Jun-2016].
[2] 睡眠多項生理檢查.[Online]. Available:
http://www.sleep.org.tw/ugC_Polysomnography.asp.[Accessed:12-Jun-2016].
[3] 王清松、鄧凱文、趙文嘉、洪佳婷和蔡承謁,「遠距照護監測系統」,亞東學報,第31期,39-44頁,民國一百年。
[4] ResearchKit and CareKit.[Online]. Available:
http://www.apple.com/researchkit/.[ Accessed:18-Jun-2016].
[5] 維基百科:失眠.[Online]. Available: https://goo.gl/bRRq2s. [Accessed:12-Jun-2016].
[6] P. P. Doghramji, "Recognizing sleep disorders in a primary
care setting", J Clin Psychiatry , vol 65, pp. 23-26,2004.
[7] N. Jauˇsovec, K. Jauˇsovec, and I. Gerliˇc, "The influence of mozarts
music on brain, Clin Neurophysiol" , vol 117 no.12 , pp. 2703-14,2006.
[8] L. Harmat, J. Tak´acs, and R. Bodizs, "Music improves sleep quality
in students. Journal of advanced nursing," vol 62 no. 3, pp. 327–335, 2008.
[9] J. Escher and D. Evequoz , "music and heart rate variability.
study of the effect of music on heart rate variability in healthy
adolescents" , Praxis, vol 88 no. 21, pp. 951–952, 1999.
[10] 顏色的神奇生理作用.[Online]. Available:
http://big5.xinhuanet.com/gate/big5/news.xinhuanet.com/health/2006-09/29/content_5151595.htm. [Accessed:10-Jun-2016].
[11] THE SECRET TO A GOOD NIGHT’S SLUMBER IS TO SLEEP IN A BLUE BEDROOM.[Online]. Available:
https://www.travelodge.co.uk/press-centre/press-releases/SECRET-GOOD-NIGHT%E2%80%99S-SLUMBER-SLEEP-BLUE-BEDROOM. [Accessed:15-Jun-2016].
[12] 陳晧玉,「天然的佛手柑精油芳香療法的確效性研究」,朝陽科技大學資訊工程學系碩士論文,民國一百零二年。
[13] 楊思憶,「薰衣草經由嗅香對護理人員睡眠品質改善成效探討」,義守大學管理學院碩士在職班碩士論文,民國一百零三年。
[14] 吳緒慧,「薰衣草精油噴霧吸入對輪班護理人員自主神經功能之影響」,南華大學自然醫學研究所碩士論文,民國九十八年。
[15] 曾月霞,「芳香療法於護理的運用」,護理雜誌,第52期,11-15頁,民國九十四年。
[16] Heart rate.[Online]. Available: https://en.wikipedia.org/wiki/Heart_rate. [Accessed:12-Jun-2016].
[17] Rapid eye movement sleep.[Online]. Available:
https://en.wikipedia.org/wiki/Rapid_eye_movement_sleep. [Accessed:17-Jun-2016].
[18] E. Vanoli, P. B. Adamson, B. Lin, G. D. Pinna, R. Lazzara, and W. C. Orr, "Heart rate variability during specific sleep stages", Circulation1995, vol 91, pp. 1918-1922, 1995.
[19] Runtastic Sleep Better 優質睡眠.[Online]. Available:
https://play.google.com/store/apps/details?id=com.runtastic.android.sleepbetter.lite&referrer=adjust_reftag%3DcI3lPREQGXqZo%26utm_source%3DRuntastic. [Accessed:12-Jun-2016].
[20] Sleep as Android. [Online]. Available:
https://play.google.com/store/apps/details?id=com.urbandroid.sleep. [Accessed:18-Jun-2016].
[21] Sleepion - Stimulate the Senses to Induce Better Sleep. [Online]. Available: https://www.kickstarter.com/projects/61718886/sleepion-stimulate-the-senses-to-induce-better-sle/description. [Accessed:1-Jun-2016].
[22] 蘇木春、張孝德,機械學習:類神經網路、模糊系統以及基因演算法則,全華圖書股份有限公司,民國一百零一年。
[23] Accelerate Machine Learning with the cuDNN Deep Neural Network Library. [Online]. Available:
https://devblogs.nvidia.com/parallelforall/accelerate-machine-learning-cudnn-deep-neural-network-library/. [Accessed:10-Jun-2016]
[24] 維基百科:卷積神經網路.[Online]. Available:
http://ibillxia.github.io/blog/2013/04/06/Convolutional-Neural-Networks/. [Accessed:20-Jun-2016].
[25] 維基百科:限制波茲曼機.[Online]. Available: https://goo.gl/0EoJu3. [Accessed:30-Jun-2016].
[26] 維基百科:深度學習.[Online]. Available: https://goo.gl/EyMtSf. [Accessed:20-Jun-2016].
[27] Tensorflow. [Online]. Available: https://www.tensorflow.org/. [Accessed:10-Jun-2016].
[28] Use SmartBand 2 sensor data for innovative Android and iOS
applications.[Online]. Available:
https://developer.sony.com/2015/09/10/use-smartband-2-sensor-data-for-innovative-android-and-ios-applications/. [Accessed:10-Jun-2016].
[29] Google Fit.[Online]. Available: https://developers.google.com/fit/?hl=zh-TW. [Accessed:10-Jun-2016].
[30] A. K. Morin, "Strategies for treating chronic insomnia", The American Journal of Managed Care, pp. S230-S245, 2006.
[31] D. A. Dean, A. L. Goldberger, R. Mueller, M. Kim, M. Rueschman, D. Mobley, S. S. Sahoo, C. P.Jayapandian, L. Cui, M. G. Morrical, S. Surovec, G. Q. Zhang, and S. Redline, "Scaling Up Scientific Discovery in Sleep Medicine: The National Sleep Research Resource," Sleep, vol 5, pp. 1151–1164, 2016.
[32] D. R. Cooper and P. S. Schindler , Business Research Methods seventh edition, New York: Irwin/Mc Graw-Hill, 2001.
[33] S. Haykin, Neural Networks: A Comprehensive Foundation, Prentice-Hall, 1999.
[34] 彭昭英、唐麗英,SAS 123,儒林圖書公司,民國九十一年。
[35] IBM SPSS Software.[Online]. Available:
http://www.ibm.com/analytics/us/en/technology/spss/. [Accessed:10-Jun-2016].
[36] 陳順宇,多變量分析,華泰書局,民國八十七年。
[37] 維基百科:顯著性水平.[Online]. Available: http://wiki.mbalib.com/zh-tw/%E6%98%BE%E8%91%97%E6%80%A7%E6%B0%B4%E5%B9%B3. [Accessed:10-Jun-2016].
[38] K. Z. Mao, "RBF Neural Network Center Selection Based on Fisher Ratio Class Separability Measure," IEEE Trans. on Neural Networks, vol. 13 no. 5, pp. 1211-1217, 2002.
[39] R. O. Duda and P. E. Hart, Pattern Classification and Scene Analysis, New York: Wiley, 1973.
[40] 交叉驗證(cross validation). [Online]. Available: https://cg2010studio.com/2012/10/22/%E4%BA%A4%E5%8F%89%E9%A9%97%E8%AD%89-cross-validation/. [Accessed:10-Jun-2016]. |