Sentence examples for monitoring of bipolar from inspiring English sources

Universal X-bar charts have the advantage of providing an a priori tool for the monitoring of bipolar disorder patients that can be used straightforwardly.

Individual-moving range charts are recommended in industry when single measurements are collected at a given time (Levinson 2010) as it happens with the monitoring of bipolar disorder patients.

The present paper presents the status and findings from studies using automatically generated objective smartphone data in the monitoring of bipolar disorder, and addresses considerations on the current literature and methodological as well as clinical aspects to consider in the future studies.

The PLC App is derived from the NIMH-Life-Chart Method, the de facto standard for the long-term monitoring of bipolar patients.

16 However, current monitoring of bipolar disorder illness activity is based on the identification and analysis of mood episodes at different intervals of time, often on a monthly basis during outpatient facility visits.

The extraordinary importance of the continuous, long-term monitoring of bipolar affective disorders has already been established through the use of the Life-Chart Method (LCM) for a long time now [ 6- 8] The Validation of the clinician-rated prospective LCM was assessed previously.

Table 5 Examples of passive monitoring of patients with bipolar disorder related to smartphones, Internet activities, or wearables Technology Sensors Aim Primary measures N Findings Study Ingestiblea Ingestible sensor in tablets.

This App is based on the National Institute of Mental Health's Life-Chart Method, the de facto standard for long-term monitoring in the treatment of bipolar disorders.

One of these diaries is the National Institute of Mental Health's Life-Chart Method (NIMH-LCM), which has become the de facto standard for long-term monitoring in the treatment of bipolar disorders.

In the MONitoring, treAtment and pRediCtion of bipolAr disorder episodes (MONARCA) study, we developed and are currently testing in a randomised controlled trial (RCT) the software for Android Smartphones to monitor the subjective and objective activities of bipolar disorder alongside with treatment adherence in a bidirectional feedback loop between patients and providers.

The efficient apoptotic elimination of MI spermatocytes with a univalent sex chromosome that fails to achieve bipolar attachment to the spindle (as in X Sxr aO males [ 2, 10, 11]) is widely assumed to be triggered by a spindle assembly checkpoint (SAC) monitoring the bipolar attachment of bivalents to the spindle [ 1].