The Effect of Smart Sensor Combined With APP for Individualized Precise Exercise Training in Long Covid-19

Shang-Lin Chiang

Status: Completed

Conditions: COVID-19; Long Covid-19; Telerehabilitation; Coronavirus Disease

Treatments: Behavioral: Healthy consulation; Device: KNEESUP smart knee assistive device + KNEESUP care APP

Study type: Interventional

Funder types: Other

Identifiers

NCT05922865

smart knee assistive device

Details and patient eligibility

About

The coronavirus (COVID -19) has rapidly turned into a global pandemic. For patients diagnosed with COVID-19, it caused severe damage in the upper respiratory system and systemic complications, including the cardiovascular, mental, nervous, and musculoskeletal system. Previous research has indicated that these subsequent sequelae can reduce quality of life. (A. W. Wong et al., 2020) Studies have indicated that exercise training is beneficial to improve blood pressure, reduce cardiovascular factors, reduce complications, and relieve depression (J. Galloza et al., 2017) However, the current international research on the benefits of exercise rehabilitation and the improvement of quality of life in patients who have been infected with COVID-19 is still lacking. Under the international epidemic, it is pointed out that the importance of telerehabilitation has also been advocated worldwide. Previous systematic review indicated that no matter it is nervous, muscular or cardiac system disease, the efficacy of telerehabilitation is superior to face-to-face rehabilitation. The purpose of this study is to compare the effect between the intervention of KNEESUP smart knee assistive device, and the health education in routine outpatient after diagnosis of Long Covid-19.

Full description

The purpose of KNEESUP measuring equipment used in this research is to improve the recovery rate and reduce the sequelae after treatment. KNEESUP connects the subjects and researchers through technologies such as IoT and AI. The evaluation of the rehabilitation results can be presented as a data chart, and the treatment effects are also clearly presented.

For the subject, the subject puts on KNEESUP knee pads in a long sitting position, bends the knees about 30 degrees, aligns the position of the knee pad circle with the bone, and uses the strap on the lower side, upper side, and the knee pads. After wearing, press and hold the sensor on the outer side of the knee pad for 3 seconds, and then open the mobile app. After the hardware setting and connection are completed, the evaluation and exercise can begin.

Enrollment: 120 patients

Sex: All

Ages: 20 to 80 years old

Volunteers: Accepts Healthy Volunteers

Inclusion criteria

• symptoms last at least one month after recovery
• without physical impairment
• understood verbal or non-verbal communication
• normal cognitive function
• were willing to participate in the study and accept random allocation

Exclusion criteria

• diagnosed with transient ischemic attack or stroke
• had neuromuscular injury or surgery in the lower limbs in the past six months
• had heart rhythm regulator
• hospitalized during training
• had aggravated symptoms due to infection again
• had participated in other clinical trials or received other alternative treatments

Trial design

Primary purpose: Treatment

Allocation: Randomized

Interventional model: Parallel Assignment

Masking: Single Blind

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120 participants in 2 patient groups, including a placebo group

KNEESUP smart knee assistive device + KNEESUP care APP

Experimental group

Description:

The participants with KNEESUP smart knee assistive device and KNEESUP care APP do exercise training at home.

Treatment:

Device: KNEESUP smart knee assistive device + KNEESUP care APP

Health consultation

Placebo Comparator group

Description:

The participants with healthy consultation do exercise training at home.

Treatment:

Behavioral: Healthy consulation