Quantifying Step Count and Oxygen Consumption with Portable Technology during the 2-Min Walk Test in People with Lower Limb Amputation

Step counts and oxygen consumption have yet to be reported during the 2-min walk test (2MWT) test in persons with lower-limb amputations (LLA). The purpose of this study was to determine step counts and oxygen consumption during the 2MWT in LLA. Thirty-five men and women walked for two minutes as quickly as possible while wearing activity monitors (ActiGraph Link on the wrist (LW) and ankle (LA), Garmin vivofit®3 on the wrist (VW) and ankle (VA), and a modus StepWatch on the ankle (SA), and a portable oxygen analyzer. The StepWatch on the ankle (SA) and the vivofit3 on the wrist (VW) had the least error and best accuracy of the activity monitors studied. While there were no significant differences in distance walked, oxygen consumption (VO2) or heart rate (HR) between sexes or level of amputation (p > 0.05), females took significantly more steps than males (p = 0.034), and those with unilateral transfemoral amputations took significantly fewer steps than those with unilateral transtibial amputations (p = 0.023). The VW and SA provided the most accurate step counts among the activity monitors and were not significantly different than hand counts. Oxygen consumption for all participants during the 2MWT was 8.9 ± 2.9 mL/kg/min, which is lower than moderate-intensity activity. While some may argue that steady-state activity has not yet been reached in the 2MWT, it may also be possible participants are not walking as fast as they can, thereby misclassifying their performance to a lower standard.

Threshold alarm tests of electrical devices for the detection of combustible gases in domestic premises

The paper describes a measuring system for testing of the combustible gases detectors used in domestic premises. The general requirements are presented for the electrical equipment used in gas detection. A theoretic analytical model is proposed for measuring the test gas concentration and assessing the influence of air humidity. The requirements considered for designing the measuring system are presented for the experimental setup. The presented assembly structure was tested and the results were presented. Consequently, the measurement uncertainty was determined. It was found that the use of a high precision oxygen analyzer is reliable in the process of calibration testing. It was also found that the variation of relative humidity during the measurement influences the gas concentration measured.

Perancangan Oxygen Analyzer Dilengkapi Penyimpanan Data Eksternal Berbasis Arduino Uno

ABSTRAKOxygen analyzer sebelumnya hanya dilengkapi dengan penyimpanan data internal dengan maksimal penyimpanan 10 data. Berdasarkan permasalahan tersebut, dibuatlah oxygen analyzer untuk mengukur kadar oksigen pada output gas medis dengan parameter kadar oksigen (%) dilengkapi dengan penyimpanan data eksternal yang bisa menyimpan banyak data untuk keperluan kalibrasi peralatan dan pengecekan kevalidan dari kadar oksigen yang diberikan ke pasien sehingga data perlu disimpan dengan baik tanpa dicatat satu persatu tapi otomatis tersimpan pada memori eksternal yang bisa dipindah ke komputer. Untuk mengukur kadar oksigen pada output gas medis digunakan sensor oksigen tipe KE-50, dan mikrokontroler Arduino Uno. Setelah pengujian data, nilai error yang didapatkan berada di bawah 1% dan penyimpanan data eksternal berfungsi dengan baik.Kata kunci: Oksigen, Sensor Oksigen, Gas Medis, penyimpanan data, arduino ABSTRACTThe previous study designed an oxygen analyzer that was only equipped with internal data storage with a maximum of 10 data storage. Therefore a tool was made to measure oxygen levels at the output of medical gas with oxygen level parameters (%) equipped with external data storage that can store a lot of data for the purposes of equipment calibration and checking the validity of the oxygen level given to the patient so that the data needs to be stored neatly without needing to be recorded one by one but automatically stored in external memory that can be moved to the computer. To measure oxygen levels at the output of medical gas used the KE-50 type of oxygen sensor, and the Arduino Uno microcontroller. After testing the data, the error values obtained are below 1% and external data storage works properly.Keywords: Oxygen, Oxygen sensor, Medical gas, data storage, arduino

Alat Ukur Konsentrasi Dan Flow Oksigen Pada Ventilator

Oxygen Analyzer merupakan alat ukur kadar oxygen dalam suatu gas yang berperan penting dalam berbagai bidang industri maupun bidang kesehatan. Dalam bidang kesehatan oxygen analyzer difungsikan untuk mengukur kadar gas oksigen pada tabung oksigen, alat terapi oksigen, outlet gas medis, ventilator, Continuous Positive Airway Pressure (CPAP) serta Baby Incubator yang dilengkapi dengan pemberian oxygen di dalamnya. Alat ini menggunakan sensor KE-25 untuk mendeteksi kadar oksigen dan sensor OCS 03F untuk aliran oksigen, kemudian di tampilkan pada LCD karakter 2X16. penelitian ini menggunakan metode pre eksperimental dengan jenis peneltian after only design. Berdasarkan hasil pengukuran pada alat ventilator di rumah sakit maka diperoleh tingkat rata - rata kesalahan pembacaan (error(%)) pada kadar oksigen yaitu 0,421504%, sedangkan pada aliran oksigen yaitu 0,49285%.

DESIGN AND DEVELOPMENT OF OXYGEN MONITORING WITH GALVANIC OXYGEN SENSOR BASED ON MICROCONTROLLER ARDUINO UNO

The Oxygen Analyzer is a tool for measuring the oxygen content in a gas exhaust system. The Oxygen analyzer is used in various fields including the fields of industry and health. In the health sector, the Oxygen Analyzer is used to measure oxygen content in Continuous Positive Airway Pressure (CPAP), anesthetic machines, ventilator machines, or oxygen cylinders. In this study the researchers made an Oxygen Analyzer that can read oxygen levels 21% 100% with a reading range per digit. This study uses an oxygen sensor that serves to detect oxygen levels which is set with an Arduino Uno microcontroller. The testing is carried out directly on a ventilator as a comparison tool. The method of data analysis in this study uses descriptive analysis. In this study the tool created was able to detect the value of oxygen levels in the range of 21% - 100% with an average error of 0.01%.