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September 29, 2014IEEE Journal of Biomedical and Health Informatics169 citationsOpen Access

Complexity Index From a Personalized Wearable Monitoring System for Assessing Remission in Mental Health

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ALAntonio LanatàGVGaetano ValenzaMNM. Nardelli

Key Result

Monitoring with the PSYCHE wearable system in 10 bipolar patients showed that Sample Entropy of long-term heart rate variability increased in accordance with clinical improvement toward euthymia.

Study Design

Type

Observational (n=10)

Structured PICO

Does HRV entropy measured by a wearable monitoring system correlate with clinical improvement in bipolar patients?

P
Population
10 bipolar patients with severe symptoms exhibiting various mood states, monitored for over 400 hours of cardiovascular dynamics.
E
Exposure
PSYCHE system (wearable monitoring system with t-shirt embedded sensors for ECG-HRV, respiration, accelerometers, and smartphone platform)
O
Outcome
Sample entropy (SampEn) estimated on long-term HRV series during mood transitionssurrogate

HRV entropy measured via a wearable system increases with clinical improvement in bipolar patients, offering a potential tool for psychiatric monitoring.

Abstract

This study discusses a personalized wearable monitoring system, which provides information and communication technologies to patients with mental disorders and physicians managing such diseases. The system, hereinafter called the PSYCHE system, is mainly comprised of a comfortable t-shirt with embedded sensors, such as textile electrodes, to monitor electrocardiogram-heart rate variability (HRV) series, piezoresistive sensors for respiration activity, and triaxial accelerometers for activity recognition. Moreover, on the patient-side, the PSYCHE system uses a smartphone-based interactive platform for electronic mood agenda and clinical scale administration, whereas on the physician-side provides data visualization and support to clinical decision. The smartphone collects the physiological and behavioral data and sends the information out to a centralized server for further processing. In this study, we present experimental results gathered from ten bipolar patients, wearing the PSYCHE system, with severe symptoms who exhibited mood states among depression (DP), hypomania(HM), mixed state (MX), and euthymia (EU), i.e., the good affective balance. In analyzing more than 400 h of cardiovascular dynamics, we found that patients experiencing mood transitions from a pathological mood state (HM, DP, or MX-where depressive and hypomanic symptoms are simultaneously present) to EU can be characterized through a commonly used measure of entropy. In particular, the SampEn estimated on long-term HRV series increases according to the patients' clinical improvement. These results are in agreement with the current literature reporting on the complexity dynamics of physiological systems and provides a promising and viable support to clinical decision in order to improve the diagnosis and management of psychiatric disorders.

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Cite This Study

Lanatà et al. (2014) conducted an observational in Bipolar disorder (n=10). PSYCHE personalized wearable monitoring system was evaluated on Sample Entropy (SampEn) on long-term HRV series during mood transitions. Monitoring with the PSYCHE wearable system in 10 bipolar patients showed that Sample Entropy of long-term heart rate variability increased in accordance with clinical improvement toward euthymia.

synapsesocial.com/papers/6a207f5855df6adc1bcd4247https://doi.org/10.1109/jbhi.2014.2360711
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