St. Peter's Hospital introduces 'NeuroGate' AI gait assessment
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St. Peter's Hospital 26-08-18 00:00Main content
St. Peter's Hospital introduces 'NeuroGate' AI gait assessment
Smart insoles analyze gait data including plantar pressure, balance and left-right asymmetry
Used for diagnosis and rehabilitation in musculoskeletal and cerebrovascular disease and in elderly patients
Strengthening data-driven personalized care from non-surgical treatment to post-operative rehabilitation
Reporter Choi, In Hwan Posted 2026.08.18 10:32
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St. Peter's Hospital introduces ‘NEUROGAIT’, an AI-based gait assessment platform. Photo courtesy of St. Peter's Hospital
St. Peter's Hospital introduces ‘NEUROGAIT’, an AI-based gait assessment platform. Photo courtesy of St. Peter's Hospital
St. Peter's Hospital has introduced 'NEUROGAIT', an artificial intelligence (AI)-based gait and balance function assessment platform. The hospital plans to assess quantitatively the gait of patients with musculoskeletal and cerebrovascular disease and of older patients, and to use this in diagnosis, exercise prescription, and post-operative rehabilitation, strengthening data-driven personalized care.
According to St. Peter's Hospital on the 18th, the newly introduced NEUROGAIT is a Class 1 medical device based on gait testing, developed by the digital healthcare company Salted.
Musculoskeletal and cerebrovascular disease can cause changes in a patient's gait pattern. Gait changes can also appear in central vertigo, diabetic neuropathy, and Parkinson's disease, and in older people the loss of muscle strength and balance function caused by sarcopenia can increase the risk of gait disturbance and falls.
St. Peter's Hospital introduced NEUROGAIT to meet the care needs of patients with related conditions and of elderly patients, and to make diagnosis and rehabilitation more precise.
NEUROGAIT works by fitting a 'smart insole' with plantar pressure sensors and an inertial measurement unit (IMU) to collect the data generated as the patient walks.
This allows analysis of plantar pressure loading patterns, weight distribution, the path of the center of pressure (COP), left-right asymmetry, and balance control. The examination can be carried out simply by walking in ordinary shoes, with no complicated separate movements required.
The examination analyzes and assesses gait, balance, lower limb muscle strength, weight bearing, and the Short Physical Performance Battery (SPPB) to support the medical team's diagnosis. Some areas that previously relied on observation or manual measurement can be checked as quantified digital data, and the examination process and analysis results can also be monitored in real time.
The hospital also plans to use this data in designing rehabilitation treatment.
Rehabilitation medicine specialists draw up an exercise program and rehabilitation treatment plan based on each patient's gait characteristics and functional status, then compare later test results to check treatment progress and adjust exercise intensity and the treatment plan accordingly.
St. Peter's Hospital plans to use gait patterns as one of its diagnostic indicators to increase the objectivity of care, and to broaden the platform's use from physiotherapy and exercise prescription for non-surgical patients through to post-operative rehabilitation.
Lee, Hee Won, Chief of Rehabilitation Medicine at St. Peter's Hospital, said, "Gait is a key indicator of overall physical health, so we expect the introduction of NEUROGAIT to be a great help in restoring patients' function and shortening the time it takes them to return to daily life," adding, "We will continue to strengthen our data-driven personalized diagnosis and rehabilitation treatment capabilities and work to raise patient satisfaction."
Meanwhile, St. Peter's Hospital is expanding its clinical infrastructure by introducing medical equipment such as the MAGNETOM Vida 3T, the AI-based MRI solution SwiftMR, a 3D oral endoscope, and the brain surgery robot Kymero.
Smart insoles analyze gait data including plantar pressure, balance and left-right asymmetry
Used for diagnosis and rehabilitation in musculoskeletal and cerebrovascular disease and in elderly patients
Strengthening data-driven personalized care from non-surgical treatment to post-operative rehabilitation
Reporter Choi, In Hwan Posted 2026.08.18 10:32
Copy
Subscribe
St. Peter's Hospital introduces ‘NEUROGAIT’, an AI-based gait assessment platform. Photo courtesy of St. Peter's Hospital
St. Peter's Hospital introduces ‘NEUROGAIT’, an AI-based gait assessment platform. Photo courtesy of St. Peter's Hospital
St. Peter's Hospital has introduced 'NEUROGAIT', an artificial intelligence (AI)-based gait and balance function assessment platform. The hospital plans to assess quantitatively the gait of patients with musculoskeletal and cerebrovascular disease and of older patients, and to use this in diagnosis, exercise prescription, and post-operative rehabilitation, strengthening data-driven personalized care.
According to St. Peter's Hospital on the 18th, the newly introduced NEUROGAIT is a Class 1 medical device based on gait testing, developed by the digital healthcare company Salted.
Musculoskeletal and cerebrovascular disease can cause changes in a patient's gait pattern. Gait changes can also appear in central vertigo, diabetic neuropathy, and Parkinson's disease, and in older people the loss of muscle strength and balance function caused by sarcopenia can increase the risk of gait disturbance and falls.
St. Peter's Hospital introduced NEUROGAIT to meet the care needs of patients with related conditions and of elderly patients, and to make diagnosis and rehabilitation more precise.
NEUROGAIT works by fitting a 'smart insole' with plantar pressure sensors and an inertial measurement unit (IMU) to collect the data generated as the patient walks.
This allows analysis of plantar pressure loading patterns, weight distribution, the path of the center of pressure (COP), left-right asymmetry, and balance control. The examination can be carried out simply by walking in ordinary shoes, with no complicated separate movements required.
The examination analyzes and assesses gait, balance, lower limb muscle strength, weight bearing, and the Short Physical Performance Battery (SPPB) to support the medical team's diagnosis. Some areas that previously relied on observation or manual measurement can be checked as quantified digital data, and the examination process and analysis results can also be monitored in real time.
The hospital also plans to use this data in designing rehabilitation treatment.
Rehabilitation medicine specialists draw up an exercise program and rehabilitation treatment plan based on each patient's gait characteristics and functional status, then compare later test results to check treatment progress and adjust exercise intensity and the treatment plan accordingly.
St. Peter's Hospital plans to use gait patterns as one of its diagnostic indicators to increase the objectivity of care, and to broaden the platform's use from physiotherapy and exercise prescription for non-surgical patients through to post-operative rehabilitation.
Lee, Hee Won, Chief of Rehabilitation Medicine at St. Peter's Hospital, said, "Gait is a key indicator of overall physical health, so we expect the introduction of NEUROGAIT to be a great help in restoring patients' function and shortening the time it takes them to return to daily life," adding, "We will continue to strengthen our data-driven personalized diagnosis and rehabilitation treatment capabilities and work to raise patient satisfaction."
Meanwhile, St. Peter's Hospital is expanding its clinical infrastructure by introducing medical equipment such as the MAGNETOM Vida 3T, the AI-based MRI solution SwiftMR, a 3D oral endoscope, and the brain surgery robot Kymero.