http://repository.psa.edu.my/handle/123456789/70 2026-03-07T14:51:51Z http://repository.psa.edu.my/handle/123456789/107 Title: ANALISIS DIMENSI YANG MEMPENGARUHI PEMILIHAN KOLEJ KOMUNITI KUALA LANGAT SEBAGAI PLATFORM UNTUK MELANJUTKAN PENGAJIAN 2015-01-01T00:00:00Z http://repository.psa.edu.my/handle/123456789/3929 Title: The Development Of Assistive Spoon Stabilizer For Hand Tremors Patients Authors: N. Roslan; NM. Kamaruddin; TS. DR. HJ. ZUNUWANAS BIN MOHAMAD; N. A. Moktar; A. A. A. Wahid Abstract: Tremor is the most common movement condition, characterized as a rhythmic and involuntary movement of the any-body component. People or individuals who suffer from tremors need an assistive device for them to live a normal life. However, the individuals with tremors will not benefit from the normal spoon because it does not respond besides the existing assistive spoon device is too expensive and not affordable to be bought by the patient. To overcome this limitation, we proposed a new assistive spoon stabilizer that can be responding to be used by patients with hand tremors. The assistive spoon can contribute to the hand tremor society because by having this product, the patient who suffers from hand tremors can eat with a spoon without having difficulties. The project involves a processor of Arduino Nano as it combines with a gyro sensor to identify the angularity of the spoon. It also consists of two servo motors to stabilize the x-axis and y-axis angle of the spoon from the patient hand. Using the assistive spoon stabilizer device can help the community to be more independent because this product is affordable to be bought by the patients compared to the existing assistive spoon in the market which is expensive. 2022-07-01T00:00:00Z http://repository.psa.edu.my/handle/123456789/3928 Title: REAL-TIME FALL DETECTION AND VITAL SIGNS MONITORING SYSTEM FOR ELDERLY LIVING ALONE USING WEARABLE SENSOR Authors: WAN NUR SAFIAH HANIS WAN MAMAT ZUKUNAIN; DR. SITI ANIZAH MUHAMED Abstract: Malaysia will become an ageing country by 2030. Data show that number of elders aged above 60 is increasing, while the percentage of young people aged 14 and below declined over the years. The rising number of elders results in socioeconomic issues including healthcare costs and social support from family members, community, and policymakers in terms of living arrangements. Especially for elders living alone, falling is a serious health problem, and it can lead to serious injuries such as hip fractures. When a person is immobilised due to an injury or unconsciousness, they are unable to aid themselves. Not being found for hours after a fall is fairly prevalent among the elderly who live alone, which dramatically raises the severity of fall-related injuries. Wearable fall detection systems have gotten a lot of interest in academia and business. Some monitoring gadgets, however, are difficult for older persons to wear or singularly only detect falls without monitoring vital signs. This project combines real-time vital signs monitoring system with a fall detection alert function by using wearable sensors and IoT technology. The system has proven able to detect all falls in FIVE (5) varieties of common falling patterns among the elderly 2022-07-01T00:00:00Z http://repository.psa.edu.my/handle/123456789/3927 Title: The Development Of Detection Walking Posture Abnormalities Patient In Human Gait Using Pressure Sensor Authors: Seri Hafsah Binti Ab Razak; Pushpa A/P Jegannathan Abstract: Nowdays, physiotherapy assistant needs to gain data and determine the rehabilitation process of every patient with a walking problem. This is because healthcare assistants don't have any tools that can come out with the precise data collecting.In order for gait rehabilitation treatments to be effective, a precise data analysis of a patient's gait is necessary. Supination, pronation, instability in the left foot, and instability in the right foot can all be detected through gait analysis. These abnormalities should be noticed immediately to correct our walking posture and avoid injury. However, the existing technology that has been applied to healthcare assistants only uses observation by perception without data for a user walking. Healthcare assistants could not get the exact data and analysis for the treatment progress besides hard to find in the market. Those techniques are still quite expensive for the consumer market due to technical reasons and the complicated instrument for measuring body movement. For this product, we’ve developed a home-based gait analysis shoe system. This paper aims to develop, record, and analyse the walking performance of users by collecting data from pressure sensors to determine whether the walking pattern is normal or abnormal.Families and healthcare assistants can keep a close eye on the person wearing the device by uploading and viewing an app-generated summary of their gait data. It is possible to monitor the wearer's gait by integrating sensors, wireless technology, and social ability with computer software. 2022-07-01T00:00:00Z