Rehapp

Rehapp

Team members

Darrell Chia Yun Leng (EPD), Siti Nurbaya (EPD), Hadi Bin Alwi (ISTD), Chow Jia Yi (ISTD), Nguyen Minh Dang (ISTD), Muhammad Akmal Hakim Muhammad Imran Teo (ISTD)

Instructors:

Lu Zhuo Ming Kenny, Michinao Hashimoto

Writing Instructors:

Wong Yoke Chee Susan

Teaching Assistant:

Anirudh Maruvada

Project Summary

In the past 20 years, ACL injury rates have increased by 2.3% annually. This annual growth means there is a growing demand for ACL rehabilitation.

For most rehabilitation treatments after an injury, visiting the physiotherapist for consultations twice a week is not enough. Patients must also do their prescribed exercises daily. Adherence to the prescribed exercise greatly influences the rate of recovery. However, there is much to be improved in this entire rehabilitation process for both patients and physiotherapists.

Understanding Target Audiences

For patients, many lack the time and financial means to visit the clinic twice a week and hence, lack sufficiently regular sessions. They are also often lacking confidence in their ability to complete exercises correctly without suffering further injury.

For physiotherapists, they find that there is a lack of precise tracking of patients’ exercise form and regularity, outside of the clinic. Often, they also struggle to convince patients that they are ready to progress to more advanced exercises since patients feel they have not improved. Lastly, many clinics, especially in public hospitals, have too many patients to see regularly, resulting in long lapses in treatment.

Hence, reHapp serves to solve these problems for both patients and physiotherapists while improving the pace and quality of recovery. It consists of a set of wearables to record accurate exercise data that comes with a user-friendly mobile application to facilitate the rehabilitation journey.

reHapp is not designed to replace traditional physiotherapy but to complement it, improving the lives of both patients and physiotherapists.

Why reHapp

Accurate and Reliable Output

ReHapp utilises the state-of-the-art wearable sensors that provide highly accurate body kinematic motion tracking data. These sensors provide our intelligent data processing software with a wide range of information to track a person’s body movements and exercise form. For example, if a user wearing our sensors does a squat, we process the tracking data to obtain relevant exercise parameters that determine how well that squat is done.

The precision of our sensors has been tested rigorously. In one of the tests we carried out, a robotic arm with our sensors attached was used to simulate a user doing a squat. The sensors were capable of measuring angles within 2 degrees of actual measurements, proving them to be precise and consistent.

However, accurate sensors do not equate to correct data analysis, it needs to give the right result.

The table above proves the capabilities of our data processing software. Among 4 sets of chair squats done by a test subject, reHapp was able to accurately analyse the mistakes and provide the right feedback needed to improve.

4 Sets of Chair Squats	Leaned Too Forward	Too High	Too Low and Leaned Too Forward	Good
Set Score	30	22.9	27.3	93.1
Smallest Knee Angle	95.5	103.9	66.9	95.3
Smaller Hip Angle	33.8	103.1	54.2	79.6
reHapp Feedback	“Leaning too far to the front”	“Not squatting low enough”	“Squatting too low, Leaning too far to the front”	“Good”
Accurate Assessment?	✔	✔	✔	✔

High-end Comfortable Straps

Fabric layer – A brushed, nylon/spandex knitted blend of various stretch capabilities. Provides adjustability for optimal fit and ease of use.

X-layer core – Ester-based, high elasticity polyurethane foam with durable low compression-set properties for enhanced stability and support.

Fabrifoam layer – Polyether polyurethane open-cell foam with a high coefficient of friction for slip resistance, breathability and comfortable 24/7 skin contact.

The straps are designed to be comfortable, breathable and well fitted to a user carrying out exercises.

Provides Both Qualitative and Quantitative Feedback

Linking to patient need, reHapp gives patients objective and quantitative feedback after each set. This helps with giving certainty if they have done their exercises in a proper manner. The qualitative feedback will inform patients on what they have done incorrectly. However, it is not enough to tell what they do incorrectly. Thus, reHapp informs the patients on how they can improve their next set.
For a quick evaluation of their set, reHapp gives feedback on an overall exercise score based on the similarity between the exercises they do at home and the exercise patients did in the clinic and how proper are their postures.