UNAIR NEWS – Humans have their own unique identities identified from names, face, body and gesture.For Student Creativity Program (PKM) of Kemenristekdikti in 2018, students managed to develop a device that can analyze the human walking cycle.The price is cheaper and can be used anywhere and anytime.
The three undergraduate students of Biomedical Engineering, Fadli Azhari, Tarikh Omar Asyraf, and Asy-Syifa Mufidah were under the guidance of Akif Rahmatillah, ST., MT., a lecturer of the Faculty of Science and Technology. Their proposal on “LOGS: Human Walking 媼Cycle Analysis Prototype” in the field of invention (PKM-KC) successfully passed the selection and granted Kemenristekdikti research fund in the PKM 2018.
Described by Fadli Azhari, the head of this PKM-KC team, walking as a daily activity of people has information hidden in it.Gait Analysisis a study of the human walking cycle(Gait)commonly encountered in hospitals, or rather on physical health and medical rehabilitation.
Gait Analysisis an important measurement procedure and can improve a person’s quality of life.For example monitor the development of ulcers in diabetic feet and help prevent it.For athletes, it can be used to improve performance and prevent injury, and it is proven to improve balance in the elderly and people with some neurological diseases.
In fact, loss of balance makes a person falls, and it can be a major cause of injury, even fatality, for example for an elderly person.
According to Fadli Azhari, generally someone who fell due to loss of balance was at the age of 65 years and above.Then every year there are 646,000 people die from falling, and according to WHO data: 80% are in developing countries.
However, falling due to aging is not unavoidable, i.e. through lifestyle and training or dissemination of health practitioners.Unfortunately there are still challenges to implement them, beside the lack of awareness of the community and the procurement of laboratoryGait analysis which is relatively expensive and not much found in Indonesia.
“We design this LOGS by taking parameters inGait Analysiswhich later can be applied, especially in the elderly, without the need to come to the hospital because the data can be accessed anywhere,” added Fadli Azhari.
Fadli and friends hope that these research result can help people improving their quality of life and awareness about their health.Moreover, the costs incurred by the government and or companies in the procurement of medical equipment is still relatively high, so this LOGS is expected to ease the burden.(*)
Editor: Bambang Bes
