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This presentation is intended to provide a high level overview of TCS. It is not intended to show every fact about the company or serve as a ‘one size fits all’ pitch deck – rather, its meant to convey who we are, what we broadly provide and why they should consider us as a partner. It is also intended to ‘frame up’ our positioning of helping clients to experience certainty by reliably delivering business results, providing leadership to drive transformation and partnering for success.
Each audience is different; therefore, you should add or remove slides as necessary for the particular audience. For example, if you’re presenting to a bank, then you should add relevant TCS facts for that audience (key offerings, key clients, case studies, etc.). You should also follow Value Messaging guidelines (i.e., understanding the ‘value wedge’ for the situation) when putting together customized client presentations.
Neurological Conditions by the Numbers
annual cost in EURO
in European economy:
twice the cost of
do no receive
 Statistics published and presented at conference RehabWeek 2015 by NeuroAtHome.
•Very costly devices and high maintenance
•Difficult for patients to frequently visit hospitals
Existing Quantitative Gait Analysis systems
(Goniometers, markers, VICON system) costs
approx. $200K & not readily available in the
market. Expensive maintenance costs
Acute Care Hospital
Most patients go straight home after few days
TCS Envisaged Solution: Rehabilitation Platform
For Use in
For Use in
Low cost, affordable for home use
Gamification to Increase Motivation
VR based games for Physical Therapy2
 Burdea, Grigore, et al. "Virtual reality-based orthopedic telerehabilitation."Rehabilitation Engineering, IEEE Transactions on 8.3 (2000): 430-432.
How a session is designed?
Physical therapy mainly related to
– 1. Static balance 2. Dynamic balance 3. Hip range of motion 4. Co-
ordination 5. Trunk control 6. Lateral displacement 7. Gait ability
Cognitive therapy mainly based on
– 1. Attention 2. Inhibition 3. Working Memory 4. Perception
5. Categorization 6. Sequencing 7. Calculation 8. Expression.
– Session can be completed independently or with therapist assistance
– Session results summarized by exercise
– Exercise results summarized by session date
– Session i.e. game difficulty level can be adjusted based on performance.
– Doctor can provide online or offline feedback
– Augmented audio-video feedback will help patients to perform exercise.
How would our solution work in home settings?
How would our solution work in clinical settings?
Daily therapy for
patients - comfort
of their own room
Daily monitoring of
every patients -
mobile or tablet or
with other doctors
on patients or
How our solution is adaptable to end-users?
Make discussion on particular
exercises - patient’s
need and capabilities
adaptation - based on
Therapy design in terms of
exercises for different disorders
Patient can log
impairments Doctor Patient
Analysis of selected feature subset for natural and unnatural gait pattern
Methods of Analyzing Abnormal Gait Pattern:
Analysis of Selected Feature Subset
Left Heel: Line of Progression Right Heel: Line of Progression
Methods of Analyzing Abnormal Gait Pattern:
Extracting Parameter Line of Progression
• Consists of all features of iOT namely,
• Capturing data from sensors fitted to the patient
• Remote data capture & remote control of programs
• Analytics - Collect patient data, analyze & send the cleaned up report to
• A dashboard for the doctor to control and plan each patient´s exercises
• Mobility – capture Evaluation and graphical analysis of patient’s progress
• Solution uses easily available IMU, EMG sensors and Kinect
• Existing Quantitative Gait Analysis systems (Goniometers, markers,
VICON system) costs approx. $200K & not readily available in the market.
Expensive maintenance costs
• Can easily be used in Hospital or at homePortable
• Proposed solution does not require much set up time & is easy to use
• Existing systems need skilled technicians to place markers on patients
and to administer these tests. Thus they require require calibration before
Ease of use
• Patients can simply walk into the setup and start taking the test in no time
• Due to minimal set up time more number of patients can undergo
Achievement and Future Roadmap
Fusion of vision and body sensor networks to improve post-stroke monitoring.
Post stroke fatigue detection using EMG and other sensors.
Post-stroke balance rehabilitation and fall prediction.
Tremor modeling for different patients.
Filed patent on this “A DEVICE AND METHOD FOR FACILITATING HEALTH MONITORING
OF A PATIENT”.
One paper “A comprehensive toolbox for online gait analysis and rehabilitation” got accepter
in INEREM 2015
MBBS , MD - General Medicine , DM – Neurology,
Director of Jain Misrilal Padmawati Foundation Medical
Rehabilitation Centre, Institute of Neurosciences, Kolkata
(IN-K), Director of Neuro-rehabilitation Program and a
Consultant Neurologist practicing in IN-K.
Dr. Abhijit Das is a neurologist and a serial inventor. He completed his training in Neurology at SCTIMST,
Trivandrum in the year 2009. He joined the postdoctoral fellowship under the Advanced Rehabilitation
Research Training (ARRT) program funded by the National Institute on Disability and Rehabilitation
Research (NIDRR) at the Kessler Foundation Research Center, West Orange, NJ in 2010. On his way to
fellowship, he collected numerous awards like American Academy of Neurology (AAN) Resident
Research Award in 2009, Best Abstract Award by the Association of Indian Neurologists in America
(AINA). In addition to these his work also got selected for the NIDRR Young Investigators Presentation
at the 2012 American Congress of Rehabilitation Medicine - American Society of Neurorehabilitation
(ACRM-ASNR) annual conference.