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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.
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.
 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.
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
 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
Dr. A.Panfilov
Ti-smart LLC
Member of Tradition Group Ltd.
panfilov@tradition.ru
http://tradition.ru

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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
  • 7. Dr. A.Panfilov Ti-smart LLC Member of Tradition Group Ltd. panfilov@tradition.ru http://tradition.ru