Abstract:Abstract-Audio and haptic cueing have proven their usability to assist gait for patients with Parkinson's disease. These cueings are used when a gait issue is classified in real-time by an artificial intelligent algorithm using wearable IMU signals located at the lower limb. Such gait issue could be freezing of gait (FOG) and Bradykinesia symptoms. This system detects freezing periods and plays a rhythmic pattern such as Tacton or Earcon in haptic or audio respectively. When prior training is done with an appr… Show more
“…The increasing penetration of smartphones in the daily life of PD patients has allowed the use of smartphone components, such as the accelerometer, and the data-processing capacity of smartphones for the detection of FoG [ 86 , 87 ]. The use of smartphones to minimize the number of connected external devices for FoG patient monitoring has been presented in a previous study [ 75 , 81 , 87 , 88 ].…”
Section: Devices Developed For Detection and Stimulation Of Fog Episodesmentioning
confidence: 99%
“…The existing research on this topic reflects the need for identification of devices for acquiring and processing data as well as for providing FoG-unlocking stimuli [ 70 , 88 ]. The stimuli used can be visual, vibrational, or electrical.…”
Section: Devices Developed For Detection and Stimulation Of Fog Episodesmentioning
confidence: 99%
“…A previous study [ 88 ] presented research describing the perception of the patient to auditory and vibratory stimuli in an environment with external disturbances. The authors also used glasses and earplugs during testing, simulating the conditions experienced by elderly PD patients.…”
Section: Devices Developed For Detection and Stimulation Of Fog Episodesmentioning
Parkinson Disease (PD) primarily affects older adults. It is the second-most common neurodegenerative disease after Alzheimer’s disease. Currently, more than 10 million people suffer from PD, and this number is expected to grow, considering the increasing global longevity. Freezing of Gait (FoG) is a symptom present in approximately 80% of advanced-stage PD’s patients. FoG episodes alter the continuity of gait, and may be the cause of falls that can lead to injuries and even death. The recent advances in the development of hardware and software systems for the monitoring, stimulus, or rehabilitation of patients with FoG has been of great interest to researchers because detection and minimization of the duration of FoG events is an important factor in improving the quality of life. This article presents a review of the research on non-invasive medical devices for FoG, focusing on the acquisition, processing, and stimulation approaches used.
“…The increasing penetration of smartphones in the daily life of PD patients has allowed the use of smartphone components, such as the accelerometer, and the data-processing capacity of smartphones for the detection of FoG [ 86 , 87 ]. The use of smartphones to minimize the number of connected external devices for FoG patient monitoring has been presented in a previous study [ 75 , 81 , 87 , 88 ].…”
Section: Devices Developed For Detection and Stimulation Of Fog Episodesmentioning
confidence: 99%
“…The existing research on this topic reflects the need for identification of devices for acquiring and processing data as well as for providing FoG-unlocking stimuli [ 70 , 88 ]. The stimuli used can be visual, vibrational, or electrical.…”
Section: Devices Developed For Detection and Stimulation Of Fog Episodesmentioning
confidence: 99%
“…A previous study [ 88 ] presented research describing the perception of the patient to auditory and vibratory stimuli in an environment with external disturbances. The authors also used glasses and earplugs during testing, simulating the conditions experienced by elderly PD patients.…”
Section: Devices Developed For Detection and Stimulation Of Fog Episodesmentioning
Parkinson Disease (PD) primarily affects older adults. It is the second-most common neurodegenerative disease after Alzheimer’s disease. Currently, more than 10 million people suffer from PD, and this number is expected to grow, considering the increasing global longevity. Freezing of Gait (FoG) is a symptom present in approximately 80% of advanced-stage PD’s patients. FoG episodes alter the continuity of gait, and may be the cause of falls that can lead to injuries and even death. The recent advances in the development of hardware and software systems for the monitoring, stimulus, or rehabilitation of patients with FoG has been of great interest to researchers because detection and minimization of the duration of FoG events is an important factor in improving the quality of life. This article presents a review of the research on non-invasive medical devices for FoG, focusing on the acquisition, processing, and stimulation approaches used.
“…Moreover, passive [13] and active [14] technical aids have been proposed in several works, including the FRR (Friendly Rest Room) international project [15,16]. Our research program explores different avenues in order to support a person with a loss of autonomy or with reduced mobility in the fulfilment of daily activities in a smart home [17]. The smart home is composed of several technological tools (personal assistance) in order to decrease the load to medical personnel and informal caregivers.…”
This paper suggests an assistive system for the toilet with the objective of measuring human activities and to provide intelligent mechanical assistance to help seating and standing. The project intends to develop a seating assistance as a technical aid in order to reduce accidents and falls in the bathroom. The preferred technique is human-robot physical interaction algorithms known in collaborative robotics (cobot) and adapting it to a personalized assistance technology installed on a smart toilet. First, the design of the mechanical assistance is presented. Then, an admittance controller is designed and implemented in order to help the user in a similar way as a cobot could be used. This technique could be used to assist the user and improve balance with adequate training and an adequate configuration of the admittance controller.
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