A Kinect-Based System for Upper-Body Function Assessment in Breast Cancer Patients

Moreira, Rita de Cássia Rocha; Magalhães, André; Oliveira, Hélder P.

doi:10.3390/jimaging1010134

Cited by 8 publications

(6 citation statements)

References 33 publications

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“…They also found that the Kinect-based system is not sensitive enough to capture the minor differences or early-stage progression in the high-functioning patient group [17]. Moreira et al [18] developed a Kinect-based system for upper body function assessment in breast cancer patients. Based on the extracted upper limb kinematic features, the Kinect-based classification system can diagnose upper limb impairments for breast cancer patients.…”

Section: Introductionmentioning

confidence: 99%

Validity and Reliability of Upper Limb Functional Assessment Using the Microsoft Kinect V2 Sensor

Cai

Xiong

et al. 2019

Applied Bionics and Biomechanics

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Objective. To quantify the concurrent accuracy and the test-retest reliability of a Kinect V2-based upper limb functional assessment system. Approach. Ten healthy males performed a series of upper limb movements, which were measured concurrently with Kinect V2 and the Vicon motion capture system (gold standard). Each participant attended two testing sessions, seven days apart. Four tasks were performed including hand to contralateral shoulder, hand to mouth, combing hair, and hand to back pocket. Upper limb kinematics were calculated using our developed kinematic model and the UWA model for Kinect V2 and Vicon. The interdevice coefficient of multiple correlation (CMC) and the root mean squared error (RMSE) were used to evaluate the validity of the kinematic waveforms. Mean absolute bias and Pearson’s r correlation were used to evaluate the validity of the angles at the points of target achieved (PTA) and the range of motion (ROM). The intersession CMC and RMSE and the intraclass correlation coefficient (ICC) were used to assess the test-retest reliability of Kinect V2. Main Results. Both validity and reliability are found to be task-dependent and plane-dependent. Kinect V2 had good accuracy in measuring shoulder and elbow flexion/extension angular waveforms (CMC>0.87), moderate accuracy of measuring shoulder adduction/abduction angular waveforms (CMC=0.69-0.82), and poor accuracy of measuring shoulder internal/external angles (CMC<0.6). We also found high test-retest reliability of Kinect V2 in most of the upper limb angular waveforms (CMC=0.75-0.99), angles at the PTA (ICC=0.65-0.91), and the ROM (ICC=0.68-0.96). Significance. Kinect V2 has great potential as a low-cost, easy implemented device for assessing upper limb angular waveforms when performing functional tasks. The system is suitable for assessing relative within-person change in upper limb motions over time, such as disease progression or improvement due to intervention.

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Section: Introductionmentioning

confidence: 99%

Validity and Reliability of Upper Limb Functional Assessment Using the Microsoft Kinect V2 Sensor

Cai

Xiong

et al. 2019

Applied Bionics and Biomechanics

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Section: Literature Reviewmentioning

confidence: 99%

“…Recently, a variety of systems have used infrared sensors (IR) to measure limb volume 1,28‐33 . Moreira et al 28 measured upper arm volume using Kinect‐based system's depth data and skeleton. Ohberg et al 29 developed an IR system with average over estimating 45.25 mL compared to the WD method.…”

Section: Literature Reviewmentioning

confidence: 99%

Evolutionary ensemble feature selection learning for image‐based assessment of lymphedema arm volume

Notash

Bayat

Haghighat

et al. 2021

Concurrency and Computation

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Summary Arm lymphedema is a side effect of surgery and radiation therapy in patients with breast cancer. There are several methods to measure lymphedema arm volume, such as water displacement (WD) and circumferential measurement (CM). Although these techniques have a satisfactory level of accuracy, they have some limitations for clinical use in practical applications. To overcome these drawbacks, a horizontal‐vertical image scanning (HVIS) tool, is presented as a valid method for arm volume measurement. To predict the arm volume, an evolutionary ensemble feature selection learning (named EEFSL) comprising different base learners (KNN, SVM, ANFIS, Decision Tree, and Naïve Bayes) is presented. In order to improve the performance of the EEFSL model, its hyperparameters are optimized using genetic algorithm (GA). The hyperparameters include the weights of different base learners and the specific features for each base learner. The fitness function of GA is to maximize the correlation between predicted and actual arm volumes. The proposed method was successfully developed for arm measurement of 60 arms from 30 women with arm lymphedema. Obtained results indicate that the proposed HVIS‐EEFSL method is a reliable and valid technique to measure arm volume of patients with lymphedema, suitable for daily clinical use instead of WD and CM.

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“…Surgical removal of the axillary lymphatic nodes may result in several impairments in women's body function(19). Upper-limb dysfunction is a commonly reported side effect, including decreased shoulder range of motion (ROM), strength, pain and lymphedema(20).…”

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confidence: 99%

Effects of progressive physical exercises combined with equipment-assisted training on postoperative rehabilitation of breast cancer patients underwent same-day surgery with axillary dissection

Huang

Wang

et al. 2023

Preprint

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Background It is well known that postoperative exercise was good for the life quality of breast cancer patients. But it is important to design a exercise with flexibility and mobility for breast cancer survivors. Here we provide an effective postoperative rehabilitation strategy for breast cancer patients with desirable efficacy. Methods In this retrospective study, breast cancer patients between 2018.01 and 2022.08 were enrolled. Based on the different rehabilitation methods, patients were separated into control group (2018.01-2020.12) or intervention group (2021.01-2022.08). The patients in the control group were mainly told by oral education to move their upper limbs step by step according to the actual situation. The patients in the intervention group were fully informed of the timing, location, and precautions for postoperative rehabilitation exercise through oral education, video data, one-on-one guidance in combination with rehabilitation exercise equipment. The assessments include postoperative rest, diet and defecation, upper extremity edema and function, postoperative drainage volume, pain, quality of life, anxiety and depression. Results Finally, 838 participants were enrolled, including 337 cases in control group and 501 cases in intervention group. Three days after the operation, and the sleep status of the intervention group was significantly better than that of the control group. Compared with the control group, the axillary and chest wall drainage volumes in the intervention group were significantly reduced 3 days and 2 weeks after operation. Meanwhile, the extubation rates between two groups was statistically significant. There was a significant statistical difference in the mean pain scores between the two groups at postoperative day 3 (0.78 ± 0.84 vs 0.69 ± 0.73, P = 0.03) and postoperative two weeks (0.46 ± 0.69 vs 0.38 ± 0.54, P<0.001). The wound healing rate was 90.8% vs 94.5% with statistically significance. Two weeks after surgery (3.6% vs 1.4%, P = 0.04) and 1 month after surgery (2.4% vs 0.6%, P = 0.03 ), the rate of upper limb edema in the intervention group was significantly reduced. In addition, the mobility of the affected limbs of patients in the intervention group was better than that in the control group. Postoperative ROM in convention group was better than control group. The height of the finger wall were relatively larger. DASH score of two groups were 22.50 ± 2.71 and 46.72 ± 3.11, P = 0.03. The anxiety level of patients in the intervention group was significantly lower than that in the control group 3 days after operation and 6 months after surgery. For depression analysis, the proportion of patients with different degrees of depression in the intervention group was significantly lower than that in the control group at 3 days after operation. Finally, significant improvement in the cognitive function, emotional function and physical function was found in intervention group 6 months after surgery. Conclusions Progressive physical exercises combined with equipment-assisted training had positive effects on improving postoperative rehabilitation, physical functioning, shoulder ROM, and decreasing patients' anxiety and depression symptoms, consequently enhancing the quality of life.

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A Kinect-Based System for Upper-Body Function Assessment in Breast Cancer Patients

Cited by 8 publications

References 33 publications

Validity and Reliability of Upper Limb Functional Assessment Using the Microsoft Kinect V2 Sensor

Validity and Reliability of Upper Limb Functional Assessment Using the Microsoft Kinect V2 Sensor

Evolutionary ensemble feature selection learning for image‐based assessment of lymphedema arm volume

Effects of progressive physical exercises combined with equipment-assisted training on postoperative rehabilitation of breast cancer patients underwent same-day surgery with axillary dissection

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