DrGoniometer: a reliable smartphone app for joint angle measurement

Vercelli, Stefano; Sartorio, Francesco; Bravini, Elisabetta; Ferriero, Giorgio

doi:10.1136/bjsports-2016-096727

Cited by 16 publications

(8 citation statements)

References 4 publications

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“…The questionnaire includes 11 items evaluating different function aspects, each item has five response options, the scale scores are ranging from 0 (no disability) to 100 (most severe disability). Flexion and abduction ROM were evaluated in degrees using DrGoniometer application [ 22 ]. Outcome measures were evaluated preoperatively and one, 3, and 6 months postoperatively.…”

Section: Methodsmentioning

confidence: 99%

A pilot study evaluating the effect of early physical therapy on pain and disabilities after breast cancer surgery: Prospective randomized control trail

et al. 2021

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Section: Methodsmentioning

confidence: 99%

A pilot study evaluating the effect of early physical therapy on pain and disabilities after breast cancer surgery: Prospective randomized control trail

et al. 2021

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“…The QuickDASH score 25 was used for assessing the physical function and upper limbs activity. ROM (abduction and flexion) were evaluated using DrGoniometer application 26 . Self-efficacy which represents how much the participant felt that she returned to preoperative function on a scale of 1 (unable to carry out activities by themselves) to 10 (able to perform all activities by themselves).…”

Section: Methodsmentioning

confidence: 99%

Effect of physical activity levels on oncological breast surgery recovery: a prospective cohort study

Klein

Kalichman

Chen

et al. 2021

Sci Rep

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After breast cancer (BC) surgery, women may experience a physical decline. The effect of physical activity (PA) on the course of recovery after BC surgery has not yet been thoroughly examined. To analyze the impact of physical activity performed by women undergoing breast cancer surgery on measures of function, range of motion, and self-efficacy. A prospective study was carried out in 157 patients who underwent surgery for BC between October 2018 and April 2019, divided into four groups according to the intensity of PA with 6 months follow-up. 50 sedentary patients and 107 active patients were enrolled; the mean age was 52.6. Women who performed physical activity, moderate to vigorous, demonstrated lower function disabilities (QuickDASH 2.22) compared with inactivity or light physical activity (QuickDASH 7.0, p < 0.001), with better shoulder flexion (159.0° vs. 150.7°, p = 0.007) and abduction (159.5° vs. 152.2°, p = 0.008). Higher PA levels, displayed in higher self-efficacy reports (9.5 vs. 8.8, p = 0.002), and return to prior job status (0.005). The PA level does not influence pain at one, three and 6 months postoperatively (p = 0.278, p = 0.304 and p = 0.304 respectively). High PA levels increase the risk of axillary web syndrome (p = 0.041), although, it reduces the incidence of chronic pain (p = 0.007). Women who practice physical activity recover better from BC surgery than sedentary women. The higher the intensity and frequency of training, the better the results. Vigorous activity cause axillary web syndrome, despite, it has a beneficial effect on lowering the rate of chronic pain.

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“…It has also been used to determine knee flexion angle for squat analysis with the help of gyroscopes. Vercelli et al [44] have developed a mobile application namely DrGoniometer, an image-based goniometry to measure the joint angle using a smartphone. The measurement is obtained by aligning a virtual goniometer on the patient's body just solely based on input from the smartphone camera.…”

Section: Literature Reviewmentioning

confidence: 99%

Squat Angle Assessment Through Tracking Body Movements

2019

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Squat exercise is frequently used in physiotherapy rehabilitation for stroke patients. In the early stage of rehabilitation, patients are urged to avoid performing any deep squat as the strains on tendon and ligament are much higher compared to the half-squat exercise. Therefore, it is important for patients to be aware of their squat depth. One of the ways to measure squat depth is by using a wearable device which adds unnecessary weight to the patients and makes them feel uncomfortable. Thus, we propose a single camera system that captures video from the frontal view to measure the squat angle continuously according to the number of frames per second. The system will provide knee angle measurements for every frame taken based on a combined approach of deep learning tracking and deep belief networks regressor. The proposed system requires just a bounding box input of the whole test subject taken at an upright position, which will later be the input to a convolutional neural networks-based tracker. Both the head and upper body parts of the exerciser will be tracked independently. The resultant tracked points will be normalized with the test subject height to find the ratio of height to the corresponding points. The ratio features are then will be the input to multiple deep belief networks' regressors to predict the knee angle. The mean of ratio features will be used to segregate the input frame into its respective regressor. The experimental results show that the system produces the lowest mean error angle of 8.64 • based on the setup of five regressors with each of them consists of five hidden layers. Hence, it is suitable to be implemented in a squat angle monitoring system to notify the patients of their squat angle depth.INDEX TERMS Squat angle analysis, physiotherapy monitoring, visual object tracking, deep belief networks regressor.

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DrGoniometer: a reliable smartphone app for joint angle measurement

Cited by 16 publications

References 4 publications

A pilot study evaluating the effect of early physical therapy on pain and disabilities after breast cancer surgery: Prospective randomized control trail

A pilot study evaluating the effect of early physical therapy on pain and disabilities after breast cancer surgery: Prospective randomized control trail

Effect of physical activity levels on oncological breast surgery recovery: a prospective cohort study

Squat Angle Assessment Through Tracking Body Movements

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