A New Method to Detect Zeolite Breath Sensor Response Based on Low-Power Square-Wave Sources

Low-power A.C. generators of square-wave or sinusoidal signals can be used in combination with impedimetric sensors to detect stimuli on the basis of the voltage drop taking place at the sensor electrodes. When a.c. generators with a power of only a few µ-Watts are used, this approach becomes extremely sensitive. A very low-power generator is the LCD back panel driving signal, which has a flipping polarity with a voltage of 3-5Vpp, depending on the generator model. This type of square-wave generator is contained in many low-cost handheld digital multimeters, and it is used as signal tracer to test, for example, low-frequency amplifiers. As an example, this method has been used to acquire a human breath rate pattern, by using a zeolite-based water sensor. If the generator I-V characteristics has been measured, the achieved breath pattern can be converted from a voltage drop vs. time graph to an impedance or current intensity vs. time graph.

Respiration Status of Asthma Patients Who Get Nebulisation Using Jet Nebulizer Compared to Nebulizer Using Oxygen

Background: Some of regional hospitals still provide oxygen gas for nebulizer to therapies in astma patiens. The study was aimed to observe the effectiveness of jet nebulizer vs oxygen as a driving gas for nebulizer on respiratory parameters of asthma patients which is breath pattern, respiration rate (RR), breath sound, oxygen saturation (SpO2), peak expiratory flow rate (PEF}. Method: The research was an experimental with a combination design, pre-post test with control group and post test only with control group in RSUD dr. R. Goeteng Taroenadibrata Purbalingga consisted of 60 respondents selected by proportional stratified random sampling. Data analysis used was independent t-test and fisher’r exact test. Result: There was no difference in the respiratory pattern variables between jet nebulizer and oxygen as a driving gas nebulizers (p> 0.05). The jet nebulizer was better in reducing RR in asthma patients than the oxygen as a driving gas nebulizer (p

Gangguan Pola Nafas Tidak Efektif Pada Pasien Congestive Heart Failure (CHF)

Background: Congestive Heart Failure (CHF) is the heart failure in pumping blood so that the blood supply containing oxygen and nutrients to the entire body tissues is inhibited and causes shortness of breath. Problems that arise that the breath pattern is not effective and can be arranged intervention one of them assess the frequency of breath depth. Acquire a real picture and experience in patients with Congestive Heart Failure (CHF). Methods: The type of research used in the preparation of scientific papers is the type of descriptive research and case study design with the approach of nursing care. The number of patients who became the study respondents amounted to two people. Result: Based on observation result, it is concluded that with the same nursing diagnosis and done the same implementation there is difference of result and response between group of intervention with control group. Suggestion. Suggestions put forward in this study is the need to pay attention to the accuracy of the assessment to determine the priority problems that occur in patients and the principle of ONEC (Observation, Nursing Treatment, Education, Collaboration) on the intervention.

Towards the Design and Development of an Embedded System for Detecting Silent Aspiration

This design describes a mobile prototype for detecting silent aspiration in children, people with neurological disorders using various biosignals such the measurement of the respiratory rate, pulse rate and oxygen saturation. Pulmonary Aspiration is when food or other particles enter from the pharynx into the larynx, often leading to pneumonia or rarely, fatal asphyxiation. In some patients with dysphagia, silent aspiration occurs, where the aspirating patient does not show any sign such as coughing at all. It is common in stroke patients and infants with neurological disorders such as down syndrome and cerebral palsy. The prototype provides signals that can be displayed with NI-myDAQ (LabVIEW). The signals are acquired with the help of a prototype respiratory belt tied around the chest containing a piezo sensor that senses pressure sending electric signals that will help analyse the breath pattern of the patient. The prototype is fitted with a sensor for measuring the pulse rate of the patient through photoplethysmography. They are all connected to a primary Arduino Nano Microcontroller based on the ATmega328P. Housed in a portable container which also contains an LCD display that can display the real time data. The device has an alert system by means of an LED and a Buzzer, the LED signals whenever there’s a pressure and the alarm sounds when there is a gap in the respiratory movement of the patient due to aspiration.