000			03745nam a22003257a 4500
003			OSt
005			20250403190227.0
008			250403b |||||||| |||| 00| 0 eng d
040			_aTUPM _bEnglish _cTUPM _dTUPM _erda
050			_aBTH QA 76.9 _bB39 2023
100			_aBayeta, Hannah Marie D. _eauthor
245			_aDevelopment of Multi-Function Cycling Computer for Comprehensive Performance Analysis Through Heart Rate, Blood Pressure, Speedometer, and GPS Tracking Integration _cHannah Marie D. Bayeta, Erica Colline B. De Lara, Gerald A. Junio, Coline D. Latuga and Raiden Mae L. Octavio.--
260			_aManila: _bTechnological University of the Philippines _c2023.
300			_axi 114pages _c29cm.
336			_2rdacontent
337			_2rdamedia
338			_2rdacarrier
500			_aBachelor's thesis
502			_aCollege of Industrial Technology.-- _bBachelor of Engineering Technology major in Computer Engineering Technology _cTechnological University of the Philippines _d2023.
504			_aIncludes bibliographic references and index.
520			_aCycling is a low-impact aerobic activity that can be used for exercise, transportation, social connection, and competitive sport, as well as for many other fitness and health benefits. The lack of awareness regarding the current health status of cyclists while riding is the main problem addressed by this study. To optimize the advantages of cycling, monitoring and analyzing performance metrics such as heart rate, blood pressure, and speed are crucial. While current cycle computers offer speed, distance, and location, combining physiological measurements like heart rate and blood pressure is still a research gap. This research aimed to design, develop, test, and evaluate a system that provides current health status and location information in a single device using prototyping method. Statistical analysis using a one-tailed independent samples t-test revealed that the prototype exhibited a significantly faster response compared to the standardized instruments. The study involved 10 test data for each sensor. The heart rate sensor (M=1.298, SD=.19332) showed significantly faster compared to the standard device (M=4.822, SD=.68226), t(18)=- 15.715, p<.001. Similarly, the blood pressure sensor (M=31.201, SD=7.54106) demonstrated significantly better scores compared to the standard device (M=45.623, SD=6.25993), t(18)=-4.653, p<.001. Furthermore, the location sensor (M=.991, SD=.09362) exhibited significantly faster compared to the standard device (M=1.301, SD=.31299), t(18)=-3.001, p=.006. However, the distance sensor (M=1.352, SD=.1439) had slightly slower response times than the standard device (M=.854, SD=.07457), t(18)=9.717, p<.001. These results indicate that the prototype's heart rate, blood pressure and location sensors respond faster than the standardized devices, which indicates improved real-time monitoring. The evaluation of the device based on ISO 25010:2011 criteria resulted in an "excellent" rating for functional suitability, performance efficiency, usability, reliability, maintainability, and portability. Additionally, the device received a "very good" rating for security. The overall rating for the device was 4.54, indicating an "excellent" interpretation. This research supports the UN SDG for good health and well- being, which encourages global health and well-being improvement.
650			_2Computer Engineering Technology
650			_2Cycling
650			_2aerobic activity
700			_aDe Lara, Erica Colline B. _eauthor
700			_aJunio, Gerald A. _eauthor
700			_aLatuga, Coline D. _eauthor
700			_aOctavio, Raiden Mae L. _eauthor
942			_2lcc _cBTH CIT _n0
999			_c29666 _d29666