Detection and Quantification of General Fetal Movements from Accelerometer Measurements using Nonstationary Signal Processing Techniques

澳大利亚每年约有1,750例胎儿死亡，其中约三分之一发生在妊娠后期，原因不明。能够长期监测胎儿健康的自动化系统的发展将导致准确的诊断和预测未来的结果。反过来，这将允许临床医生进行早期干预，以减少胎儿死亡，提高获得良好结果的机会，从而节省社区的社会和经济成本。这种设备的发展将催生未来对干预治疗的研究，并有助于澳大利亚在计算机化健康监测系统方面的世界领先地位。

There are approximately 1,750 fetal deaths per year in Australian with about one-third occurring late in gestation and without an apparent cause. The development of an automated system capable of long-term monitoring of fetal health will result in accurate diagnoses and prediction of future outcome. This will, in turn, allow early intervention by the clinician to reduce fetal deaths and enhance the chances of good outcomes with resultant savings in social and financial costs to the community. The development of such equipment would spawn future research into intervention treatments and contribute to Australia's position as a world leader in computerised health monitoring systems.