Aide

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Vérification de l'état de PhotoFrame™

Vous pouvez vérifier l'état de PhotoFrame™ : système sous tension, batterie en cours de charge, nombre de photos pouvant encore être stockées, niveau de charge de la batterie, support actuellement connecté ou encore version du logiciel de PhotoFrame™.

Àpartir du voyant situé à l’arrière de l’appareil, vous pouvez déterminer si le système est sous tension ou si la batterie est en cours de charge :

Voyant d’alimentation

Bleu : système sous tension/batterie chargée.

Éteint : système éteint.

Bleu clignotant : batterie en cours de charge.

Vous trouverez ci-dessous une manière facile de consulter d'autres informations.

Appuyez sur la touche Menu pour accéder au menu principal.

Naviguez vers le bas pour sélectionner l'icône de configuration.

Naviguez vers la droite ou appuyez sur la touche OK pour accéder au menu Configuration.

Naviguez vers le bas pour sélectionner État.

L'état de PhotoFrame™ s'affiche dans la fenêtre de droite.

Informations sur PhotoFrame™ :

Esp. libre (pic) : XX (estime le nombre de photos supplémentaires pouvant être stockées dans PhotoFrame™.)

Alimentation : CC (secteur)

XX% (estime le niveau de charge de la batterie, lorsque celle-ci est la

source d'alimentation.)

Micrologiciel : (version du logiciel de PhotoFrame™).

Support connecté : (répertorie la liste de toutes les cartes mémoire connectées à PhotoFrame™).

Espace libre sur le support connecté : (mémoire libre restante en Mo) .

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Philips 9FF2CWO, 9FF2CMI, 9FF2CME, 9FF2M4 user manual Aide, Vérification de létat de PhotoFrame

9FF2CWO, 9FF2M4, 9FF2CMI, 9FF2CME specifications

Philips has made significant strides in the world of healthcare technology with its innovative products, particularly the Philips 9FF2CME, 9FF2CMI, 9FF2M4, and 9FF2CWO series. These models represent a convergence of advanced features and cutting-edge technologies aimed at enhancing patient care and operational efficiency in healthcare environments.

The Philips 9FF2CME model is designed with a focus on connectivity and interoperability. It offers seamless integration with existing healthcare IT systems, enabling healthcare professionals to access patient data quickly and reliably. This model features an intuitive user interface that simplifies navigation and reduces the time spent on training healthcare staff. The 9FF2CME is particularly notable for its advanced imaging capabilities, providing sharp, high-resolution visuals that support accurate diagnosis and treatment planning.

Another key model, the 9FF2CMI, focuses on monitoring vital signs with precision. Equipped with sophisticated sensors, it delivers real-time data on patients’ health metrics, enabling clinicians to make informed decisions. Its alert system is designed to notify staff of any critical changes in a patient’s condition, ensuring timely interventions. The ergonomic design of the 9FF2CMI also facilitates easy handling during transport and bedside care, making it a vital tool in emergency and critical care settings.

The 9FF2M4 model excels in data analytics. It integrates machine learning algorithms to analyze patient data, allowing healthcare providers to identify trends and predict potential health issues. This proactive approach to patient management enhances treatment outcomes and promotes preventive care strategies. Additionally, the 9FF2M4 is designed for scalability, making it suitable for various healthcare settings, from small clinics to large hospitals.

Lastly, the Philips 9FF2CWO model is tailored for patient engagement. It incorporates features that allow patients to access their health information easily and communicate with their care providers. This model emphasizes personalized care, enabling providers to tailor treatment plans based on patients' unique needs and preferences. The 9FF2CWO also supports wireless connectivity, facilitating remote monitoring and telehealth consultations, which have gained prominence in recent times.

Overall, the Philips 9FF2CME, 9FF2CMI, 9FF2M4, and 9FF2CWO series exemplify the company's commitment to advancing healthcare technology. With a combination of enhanced imaging, real-time monitoring, advanced analytics, and patient engagement tools, these models are set to improve operational efficiency and patient outcomes in healthcare facilities worldwide.