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Personal Medical Assistant
1.
2. Personal medical assistant - an intelligent
bio signals processing wearable platform
(IBSP) capable of correlating data from
different sensors in very noisy environment
(on the move mode).
Final product: An ecosystem consisting of
a wearable bracelet/armband sensor set
and a smartphone with cloud service
support.
3. How it works:
Inbuilt wireless sensors collect vitals of a person’s heart
rate, blood pressure, oxygen levels and blood sugar
level, while smartphone tracks the location & activity
level, exchange data with our automated system for medical
decision support;
Targeted market - mass personal health product (PHS) for:
Everyday use and fitness (wristband w/pulse meter +
thermometer);
Professional sports (forearms band w/thermometer, lactate
and galvanic skin response sensors);
Diabetics (non-invasive glucose sensors + pulse meter).
Key advantages and features
Integrated with Lockey™ personal medical assistance and
bodyguard cloud service and patient’s HER, Cisco Health
Presence;
Will be integrated with existing European mHealth solutions.
4. All information collected from medical
sensors gets transmitted to the user's
personal account;
In case of exceeding the permissible
values the system sends an alarm
signal (to relatives or to family doctor);
Exceeding of the permissible
parameters is stored in case history.
5. We are working with leading European mHealth
products such as:
Angioscan for analysis of the cardiovascular system;
MYO wristband for complete wireless
and hands-free control of the
fitness/training equipment;
Zephyr BioHarness 3 for capturing and
transmitting physiological data via mobile
and fixed networks.
Cisco Health Present infrastructure and
RF EGIZ
6. Multi-parameter analysis of bio-signals;
Works in real-time mode;
Preventive approach to diagnostics:
Monitoring
Analysis
Extrapolation
Usage of leading sensor technologies, nanosensors.
$1,9M
We need 60% of funds to develop:
an intelligent bio signals processing wearable platform (IBSP) capable to
correlate data from different sensors in very noisy environment (on the
move mode);
A trainable artificial neural network/fuzzy logic diagnostic engine.
40% for promotion and clinical testing