The Resilience Technology Platform (RTP) comprises Mood Sensing Sharing Device (MSSD) intellectual property as described in U.S. Patents No. 11878126 B2 (2024), No. 12114977 B2 (2024), and No. 9064390 B1 (2015). Key features of RTP include the detection of the finger skin temperature (FST) biomarker; the algorithmic mapping of the FST biomarker readings into an estimate of a user’s current distress level; and the initiation of a complementary mitigation to assuage symptoms resulting from a high-level of emotional distress.
In an exemplary implementation of the RTP, such as for the Distress Symptoms Mitigation App for the Resilience Smart Ring, the RTP is a biofeedback system that detects emotional distress and initiates deep breathing to help mitigate symptoms arising from emotional distress, inclusive of emotional distress resulting from traumatic events, or from situational triggers related to traumatic events.
The RTP comprises the MSSD Smart Rings, the TALUS AI model, and a suite of mobile apps which are capable of treating symptoms arising from DSM identified mental health disorders. MSSD Smart Rings detect the finger skin temperature biomarker and algorithmically estimate levels of stress, inclusive of distress, from the FST measurements. The MSSD Smart Ring stress measurements are provided to a paired mobile application for display and for additional processing via the TALUS AI Mental Health Safety Model.
In a stress response, the amygdala prompts the hypothalamus to initiate the release of epinephrine and norepinephrine, to ensure non-essential organs (e.g., skin, gut, prefrontal cortex, etc.) are inhibited in deference to more critical systems such as the pulmonary, cardiovascular, and skeletal muscle systems, which from an evolutionary perspective are deemed more critical for fight-or-flight.
Similarly, for thermal regulation purposes, acetylcholine is triggered to increase sweat production, including in the hands which have a high concentration of sweat glands. The net result is a discernible drop in finger skin temperature (FST) resulting from increased stress. Sensors within the Resilience Smart Ring allow it to track variations in finger skin temperature and to assess and report a wearer’s current stress levels, inclusive of distress triggered by trauma related memories, situations, and feelings.
Clinical research confirms that slow, deep breathing (DB) utilizes descending pathways to decrease sympathetic nervous system (SNS) activity, while increasing para-SNS activity. Thus, DB can be used to facilitate a quicker return to a pre-stress (more intentional) homeostasis, provided that the DB session is employed early enough in the progression of the stress induced symptoms. Resilience Deep Breathing Intervention software guides a user through a short DB session upon the alerting of a high-distress state, which enables the quicker resolution of symptoms.
The importance of being able to accurately detect and measure distress can be understood in terms of the Stress Progression Model (SPM)—see the accompanying figure. Many ailments, e.g., cancer and heart disease, which can be correlated to chronic stress, share the tenet that early detection and intervention play an important role in the achievement of a successful outcome. Likewise, the SPM asserts that the early awareness of stress induced symptoms can lead to their faster resolution. The thought is that if a conservative intervention (e.g., deep breathing) is pursued early enough in the progression of a stressful state, then induced symptoms can successfully and more quickly be interrupted—thus avoiding distress. Note that distress is an emotional outcome of severe or chronic stress.
As shown in the SPM figure, a primary objective is to expedite the awareness of symptoms of stress, including those triggered by trauma related memories, situations, and feelings, by means of biofeedback powered app notifications (i.e., Alerts), which announce the start of a software implemented guided, interventional DB session (i.e., Mitigation). Theoretically this accelerates the resolution of the distress induced symptoms by means of the more optimally timed use of deep breathing for relaxation and focus, vis-à-vis descending interoceptive pathways.
Completion of the deep breathing session allows a user receiving an FST-biofeedback-powered distress notification to counteract their mental health induced symptoms via the continuation of conscious breathing afterwards—returning their FST to a temperature level that is indicative of a relaxed state. Moreover, continuous use of the system teaches users to associate their specific stress inducing activities with their corresponding interoceptive (ascending) signals; allowing trained users to independently initiate a more-timely DB session for each new encounter with stress.
In summary, The RTP’s mobile apps utilize biofeedback-powered distress notifications, from an MSSD Smart Ring, to guide a user through a deep breathing session, or similar complementary mitigation. In the case of deep breathing, the sessions utilize descending interoceptive pathways to disrupt and reduce the severity of mental health induced symptoms that a user may be experiencing in real-time, as they arise.