St. Peter's Hospital introduces an AI gait assessment platform
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St. Peter's Hospital 26-08-18 00:00Main content
St. Peter's Hospital introduces an AI gait assessment platform
Using ‘NEUROGAIT’ for quantitative analysis of plantar pressure, balance and gait asymmetry
Applying data-driven care from musculoskeletal and cerebrovascular disease to post-operative rehabilitation
Reporter Jung, Kwang Sung Posted 2026.08.18 10:53 Comments 0
[Medical News / Ilgan Bosa = Reporter Jung Kwang-sung] St. Peter's Hospital is introducing an AI-based gait assessment platform and moving to strengthen its personalized diagnosis and rehabilitation treatment systems using patients' gait data.
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 (Director Yoon, Kangjun) announced on the 18th that it had recently introduced ‘NEUROGAIT’, an AI-based gait and balance function assessment platform, and plans to use it for patients with musculoskeletal and cerebrovascular disease, older patients, and others.
Musculoskeletal and cerebrovascular disease, as well as central vertigo, diabetic neuropathy, and Parkinson's disease, can cause different forms of gait abnormality depending on the condition. In older people, sarcopenia can reduce muscle strength and balance, increasing the risk of gait disturbance and falls.
The hospital introduced NEUROGAIT in order to assess gait objectively in numerical terms and use it in rehabilitation treatment, as care for older patients and for the conditions that affect gait function increases.
‘NEUROGAIT’ is a Class 1 medical device that supports diagnosis and exercise prescription through gait testing: a ‘smart insole’ fitted with plantar pressure sensors and an inertial measurement unit (IMU) is placed in the shoe, and the data generated while walking is measured.
The examination can identify plantar pressure loading, weight distribution, the path of the center of pressure (COP), left-right asymmetry, and balance control. In addition to gait, it also analyzes balance, lower limb muscle strength, weight bearing, and Short Physical Performance Battery (SPPB) results.
A distinctive feature is that some areas of gait assessment that previously relied on observation or manual measurement can be quantified as digital data, and the examination process and results can be checked in real time.
The hospital plans to link the measured gait data to Rehabilitation Medicine care and design exercise and rehabilitation programs for each patient. It will also use the data to check the degree of functional recovery by comparing figures before and after treatment, and to adjust exercise intensity and rehabilitation plans accordingly.
In particular, the hospital intends to use gait data not only to support the diagnosis of patients with musculoskeletal and cerebrovascular disease but also in non-surgical physiotherapy, exercise prescription, and post-operative rehabilitation, increasing the objectivity of the treatment process.
Lee, Hee Won, Chief of Rehabilitation Medicine at St. Peter's Hospital, said, “Gait is one of the important indicators for assessing a patient's physical function,” adding, “We will use quantified data to draw up rehabilitation plans suited to each patient's functional status and to check treatment progress more systematically.”
Using ‘NEUROGAIT’ for quantitative analysis of plantar pressure, balance and gait asymmetry
Applying data-driven care from musculoskeletal and cerebrovascular disease to post-operative rehabilitation
Reporter Jung, Kwang Sung Posted 2026.08.18 10:53 Comments 0
[Medical News / Ilgan Bosa = Reporter Jung Kwang-sung] St. Peter's Hospital is introducing an AI-based gait assessment platform and moving to strengthen its personalized diagnosis and rehabilitation treatment systems using patients' gait data.
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 (Director Yoon, Kangjun) announced on the 18th that it had recently introduced ‘NEUROGAIT’, an AI-based gait and balance function assessment platform, and plans to use it for patients with musculoskeletal and cerebrovascular disease, older patients, and others.
Musculoskeletal and cerebrovascular disease, as well as central vertigo, diabetic neuropathy, and Parkinson's disease, can cause different forms of gait abnormality depending on the condition. In older people, sarcopenia can reduce muscle strength and balance, increasing the risk of gait disturbance and falls.
The hospital introduced NEUROGAIT in order to assess gait objectively in numerical terms and use it in rehabilitation treatment, as care for older patients and for the conditions that affect gait function increases.
‘NEUROGAIT’ is a Class 1 medical device that supports diagnosis and exercise prescription through gait testing: a ‘smart insole’ fitted with plantar pressure sensors and an inertial measurement unit (IMU) is placed in the shoe, and the data generated while walking is measured.
The examination can identify plantar pressure loading, weight distribution, the path of the center of pressure (COP), left-right asymmetry, and balance control. In addition to gait, it also analyzes balance, lower limb muscle strength, weight bearing, and Short Physical Performance Battery (SPPB) results.
A distinctive feature is that some areas of gait assessment that previously relied on observation or manual measurement can be quantified as digital data, and the examination process and results can be checked in real time.
The hospital plans to link the measured gait data to Rehabilitation Medicine care and design exercise and rehabilitation programs for each patient. It will also use the data to check the degree of functional recovery by comparing figures before and after treatment, and to adjust exercise intensity and rehabilitation plans accordingly.
In particular, the hospital intends to use gait data not only to support the diagnosis of patients with musculoskeletal and cerebrovascular disease but also in non-surgical physiotherapy, exercise prescription, and post-operative rehabilitation, increasing the objectivity of the treatment process.
Lee, Hee Won, Chief of Rehabilitation Medicine at St. Peter's Hospital, said, “Gait is one of the important indicators for assessing a patient's physical function,” adding, “We will use quantified data to draw up rehabilitation plans suited to each patient's functional status and to check treatment progress more systematically.”