Wearable devices and non-invasive are trending in the healthcare sector. Hence, companies are harnessing advantages of wearable devices in fetal monitoring systems. For instance, a provider of non-invasive technologies Nemo Healthcare announced the launch of Nemo Fetal Monitoring System-a novel wearable device that accurately provides information on fetal and maternal health rate.
Companies in the fetal monitoring systems market are increasing the availability of advanced systems that provide data on fetal, maternal, and uterine activity in a single measurement. This indicates that healthcare companies are focusing on developing systems that suit the convenience of clinicians and patients. Wearable devices are acquiring prominence in the fetal monitoring systems market, owing to their advantages in context to safer births and healthier children.
High prevalence of women with high body mass index has triggered the demand for wearable devices. Non-invasive fetal monitoring systems are growing popular, since they help clinicians to intervene in time to prevent any damage that might occur to the unborn child.
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Electronic fetal monitoring (EFM) is becoming increasingly mainstream in the healthcare sector. This trend of EFM has given rise to non-invasive assessment via Doppler ultrasound sensor or by means of fetal ECG (Electrocardiogram) sensor on the fetal scalp. Since external mode segment of the fetal monitoring systems market is projected for exponential growth during the forecast period, companies are strengthening the supply chain for intrauterine pressure sensors to efficiently measure uterine pressure. As such, external sensors are being increasingly used to monitor abdominal wall tension.
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Companies in the fetal monitoring systems market need to abide by the guidelines issued by the International Federation of Gynecology & Obstetrics and the American Congress of Obstetricians and Gynecology to innovate in approaches toward the EFM analysis. Healthcare companies are increasing R&D to gain expertise in modern signal-processing techniques in order to extract new discriminating information that has not been considered before in healthcare. Developments are being made in machine learning research to examine larger sets of correlated features.
Fetal heart rate (FHR) monitoring using Doppler ultrasound (US) is a common practice to evaluate fetal health via fetal monitoring systems. Hence, companies in the fetal monitoring systems market are increasing the availability of US transducers to efficiently monitor fetal health. However, fetal movement or displacement of the transducer with respect to the fetal heart location (FHL) can lead to issues of frequent signal loss. Frequent repositioning of the US transducer is a cumbersome task, which affects the clinical workflow. Hence, companies in the fetal monitoring systems market are introducing flexible US transducer array to measure FHR independent of the FHL.
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Dynamic adaptation of transmission power in the flexible US transducer array has helped to reduce the total acoustic dose transmitted to the fetus. Innovations in the array has catalyzed the demand for fetal monitoring systems, since reduction in power consumption is important for application in ambulatory settings. Healthcare providers are aiming toward computerized analysis of accurate and robust recording of the FHR.
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