IntroductionAudio innovations remain an important medium to drive innovation in health, especially in low-resource settings. This article explores the role of audio innovation to spur change in the context of a crowdsourcing open call for youth (18–30 years old) in Malaysia.MethodsA crowdsourcing open call for youth in Malaysia was organised from March to June 2021 using standards from the WHO-TDR. The open call was called ‘Imagine the World Anew’ and submission categories included youth-led messaging, youth social innovation and youth strategic planning. We analyse open call submissions and provide a more detailed analysis of an audio submission.ResultsA total 43 entries were submitted to the open call and 6 were selected for grand prizes. One of the two grand prizes in the youth messaging category was a song developed by a youth team. The song was called ‘Rise Up’ and was developed by Malaysian youth to demonstrate how youth have been critical agents for change during the COVID-19 pandemic. The audio format allowed the youth to directly speak to other Malaysian youth, leverage existing audio channels and democratise messaging during COVID-19. Building on the experience from this crowdsourcing open call, we also describe key considerations for open calls to incorporate audio innovations in low-resource settings.ConclusionAudio innovations like songs can mobilise youth and other members of the public and amplify their voices. Audio messages may enhance dissemination of health messages in diverse low-income and middle-income country settings.

Measuring a value by definition seems to be the best solution for getting the most precise results. In this paper, it is shown that by changing the general definition of root mean square (RMS) and average value of a periodic signal, their measurement can be improved. When measuring RMS with asynchronous sampling, it was observed that results were scattered around two values, and it was found that the main cause for this was initial sampling time. Redefining the RMS value has been proposed in order to increase the efficiency of the asynchronous method. After comparing the results based on general and proposed definition for RMS value, it was observed that there was significantly less scattering of results and higher accuracy. The simulation proved that the application of the proposed definition of RMS gives more accurate and precise results than the general definition for analog to digital (AD) converters with both lower and higher resolution.

In this paper, the measurement of event-related brain potentials (ERP) amplitude and latency based on digital stochastic measurement over interval (DSMI) method are described. Different variations of the measurement system are considered. It was found that measurement errors of amplitude increase with the reduction of the examination time. However, the measurement errors for ERP peak latency remain relatively small. This makes the system useful for practical implementations when the latency is the most interesting parameter and requirements for a short measurement time are of high priority.

Multisensory signal acquisition represents one of the main concepts necessary to perform measurements in various industrial and consumer-oriented applications. This paper presents a development platform which provides a data acquisition from multiple sensors. The main module of the platform is the UNIDS-3 development board with PIC18F8520 microcontroller. Data acquisition from the sensors is performed on user demand by remote control. NEC protocol is implemented and IR receiver TSOP31238 is used. The measurement data are sent to a computer, which performs digital data processing, data visualization and data storage.