![](bg5.png)
Google maps based applications to display the
nearest hospital to the patients which are able to
drive or to walk, otherwise, the health assistance
software should send the best path for the patient
rescue, as illustrated in (Faro, 2008-2011), to the
ambulance if the patient is in critical conditions as
shown in fig.7. We plan to integrate the proposed
system in the city information architecture named
Wi-City (Costanzo, 2013) to offer a complete
assistance to mobile people.
6 CONCLUSIONS
In this work a simple and cheap system to monitor at
distance the cardiac status of a patient during her/his
daily life has been presented. The system is provided
with wearable sensors for cardiac data detection
(ECG) (Costanzo, 2014). Correlating data from
multiple sources allows the system to identify the
more appropriate actions for the patient health
status. Before activating the interventions of the
rescuers, the system regulates the indoor
environmental conditions by using sensors to
measure indoor conditions and domotic equipments.
In the paper we taken into account only cardiac
sensors, but other wearable sensors have been added
to the proposed architecture, thus increasing the
pathologies the system can manage, e.g., in the
mentioned companion paper, a similar system to
measure blood pressure and respiration rate with a
portable system is illustrated.
In the future the proposed e-health assistant will
be able to monitor other types of relevant
information e.g. emotional status that will be
identified with specific wearable sensors, such
galvanic skin response, and by recognizing facial
features by computer vision techniques (Faro, 2006),
(Radhakrishnan, 2013) even in noisy context
(Cannavò, 2006), (Crisafi, 2008).
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