Anything that has not been recorded over time is forgotten. Read this post , if you want to know the best way to record stroke Rehab Result.

The Best Way to Record Stroke Rehab Result: Digital rehab

Rehabilitation and Data Science
What may be the relationship between these two? Rehabilitation has traditionally
relied on medical expert’s knowledge, experience and intuition. The human's
expertise is the most important factor in rehabilitation. However, it is hard to
recognize subtle movement with naked eye and remember concisely every detail of
the patient's movements. And machine can support this part. The combination of
human’s knowledge-based expertise and machine’s data-based discovery
capabilities become the digital rehabilitation.

Importance of Recording
Anything that has not been recorded over time is forgotten. No doubt exists
about the importance of recording in human history. For example, many stories
are listed in the ancient Egyptian papyrus. Amongst them is the papyrus written
by Egyptian scribe Ames, telling us of a story about seeking a solution
regarding a family's camel heritage distribution problem. If there were no
records left, how would we, living in the distant future, know about the tale of
an ancient Egyptian family?



Rehabilitation Exercise and Rehabilitation Data
Information on specific movements is a necessary data and this is needed for
rehabilitation today. The movement of a man is very complex and diverse due to
the numerous joints and muscles. As the patient's movement differs from that of
a normal person, it is significant to figure out patient’s pattern accurately.
Fortunately, with the development of wearable devices and sensors today, it is
now possible to accurately store human motions in real time. Wearable fitness
devices process information that assists training by measuring changes in one’s
body during exercise - such as heart rate, acceleration, body temperature and so
on.



But rehabilitation is a specialized area that varies from general exercises.
Individually tailored therapies are required to accurately identify the pattern
of individual patients and prescribe appropriate training programs to them.
Also, big data, piled up throughout the training process, is needed to figure
out what the patient’s current condition is and what type of training would have
an effect on them. Because there are so many variables involved, machine
learning is utilized to reveal the complex correlations between them. In other
words, our goal is to change the rehabilitation treatment model, which was like
a black-box in the past, to a concrete model that reveals the correlation and
causality based on data science.



Sherlock Holmes, the character in a mystery novel, who demonstrated the
rhetorical technique based on evidence and scientific reasoning in the
nineteenth century, claimed "Data! Data! Data! I cannot make bricks without
mud!"(Arthur Conan Doyle: Adventure of Sherlock Holmes- The Adventure of the
Copper Beeches). Harvard Business Review ranked data scientists as the hottest
profession of the 21st century. However, just as Holmes stated, no detective nor
data scientist can make a correct inference without data. Today, with the
development of GPU-based computing power and the development of open source for
machine learning, the value of meaningful data increased higher than ever.


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