Immersive Augmented Reality for Parkinson Disease Rehabilitation

Garcia, Andres Ayala; Andre, Nelson J; Boucher, D.; Roberts, Angela; Jog, Mandar; Katchabaw, Michael

doi:10.1007/978-3-642-54816-1_22

Cited by 7 publications

(2 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Other noted flaws include the requirement for a patient to undergo several sessions and repetitions in order to reach functional normalcy because doing so in a hospital setting would not be practical or cost-effective. [15].…”

Section: Augmented Realitymentioning

confidence: 99%

Effect of exer gaming on rehabilitation of patient with Parkinson’s disease

Basharat,

Anum,

Rashid

et al. 2023

ijhs

View full text Add to dashboard Cite

Parkinson's disease affects the nervous system. It is described as a chronic, progressive condition brought on by a decrease in the number of dopamine neural receptors. Parkinson's disease incidence primarily rises with age, peaking between the ages of 70 and 79, but it stabilises in people in their 80s. Virtual Reality is given to Patients with Parkinson’s disease to help alleviate their overall symptoms of illness and improve their quality of life. From the 1960s to the beginning of the 21st century, virtual reality undergoes a four-decade transformation from sensoroma to augmented reality. The objective of the study is to determine the effect of Virtual reality in the rehabilitation of Parkinson’s disease. The study design is Quasi-experimental. Diagnosed patients of Parkinson’s disease (n=30) up to stage 4 of the Hoehn and Yahr scale were selected by purposive sampling techniques. Then these 30 selected were given to play a game of virtual reality that is Microsoft Kinect for 6 weeks, 4 days a week in Railway General Hospital. Baseline measurement tools were the Modified Unified Parkinson Disease rating scale, Modified Hoehn and Yahr rating scale and Schwab and England activities of daily life.

show abstract

Section: Augmented Realitymentioning

confidence: 99%

Effect of exer gaming on rehabilitation of patient with Parkinson’s disease

Basharat,

Anum,

Rashid

et al. 2023

ijhs

View full text Add to dashboard Cite

show abstract

“…These 3D data are also utilized in medical education in areas of surgery, dentistry, and nursing, among others, wherein they are used to design interactive environments using various equipment [27]. Virtual-reality technology has also provided a new direction in biomechanics and rehabilitation, as realistic sensory experiences are delivered and scenarios are recreated using virtual-reality-based analysis methods with existing hardware that measures a user's movement [28]; in particular, such technologies are integrated with wearable equipment, IOT technology, artificial intelligence, and cloud services to develop smart healthcare services that can automatically monitor users' health in spaces used by the users such as homes and surrounding environments.…”

Section: Related Workmentioning

confidence: 99%

Biological-Signal-Based User-Interface System for Virtual-Reality Applications for Healthcare

2018

View full text Add to dashboard Cite

Biosignal interfaces provide important data that reveal the physical status of a user, and they are used in the medical field for patient health status monitoring, medical automation, or rehabilitation services. Biosignals can be used in developing new contents, in conjunction with virtual reality, and are important factors for extracting user emotion or measuring user experience. A biological-signal-based user-interface system composed of sensor devices, a user-interface system, and an application that can extract biological-signal data from multiple biological-signal devices and be used by content developers was designed. A network-based protocol was used for unconstrained use of the device so that the biological signals can be freely received via USB, Bluetooth, WiFi, and an internal system module. A system that can extract biological-signal data from multiple biological-signal data and simultaneously extract and analyze the data from a virtual-reality-specific eye-tracking device was developed so that users who develop healthcare contents based on virtual-reality technology can easily use the biological signals.

show abstract