This document describes a personal medical assistant system consisting of a wearable sensor bracelet/armband and smartphone app with cloud support. The sensors would collect vital signs like heart rate, blood pressure, oxygen levels, blood sugar, and the smartphone would track location and activity. Data is exchanged with an automated system for medical decision support. The system would be targeted at everyday fitness/health, professional sports, and diabetics. It integrates with medical records and cloud services and sends alerts if readings exceed limits, storing this in the user's history. The goal is to develop an intelligent biosensor platform and diagnostic engine that can correlate data from multiple sensors during movement.

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