1.Clinical characteristics of myeloid tumors combined with the proliferation of large granular lymphocytes
Chenxiao DU ; Guangpeng XIANG ; Lan PENG ; Xiangyao XIAO ; Guangshuai TENG ; Yuhui ZHANG ; Yan WANG ; Yifan DUAN ; Zonghong SHAO ; Jie BAI
Chinese Journal of Hematology 2024;45(4):396-400
Myeloid neoplasms (MNs) belong to a group of hematological malignancies characterized by the abnormal biological functions of hematopoietic stem progenitor cells. The abnormal immune and hematopoietic microenvironment of patients with MN interact with malignant clonal hematopoietic stem cells, promoting the occurrence and development of their diseases. MN large granular lymphocyte proliferation (MN-LGLP) is a special and rare clinical phenomenon in this type of disease. Currently, research on this disease in domestic and international cohorts is limited. This study analyzes the clinical and laboratory characteristics of this type of patient and explores the impact of LGLP on the clinical characteristics and survival of patients with MN. Patients with MN-LGLP are prone to neutropenia and splenomegaly. The presence of LGLP is not a risk factor affecting the survival of patients with MN-LGLP. STAG, ASXL1, and TET2 are the most common accompanying gene mutations in MN-LGLP, and patients with MN-LGLP and STAG2 mutations have poor prognoses.
2.Design and Control of a Soft and Wearable Robotic Glove for Hand Rehabilitation
Guangshuai PENG ; Xingyu FAN ; Xiaoyu LIU ; Lizhen WANG
Journal of Medical Biomechanics 2019;34(6):E637-E643
Objective To improve the clinical application of using rehabilitation robot for hand rehabilitation and solve the current shortcomings of rigid hand rehabilitation robot, such as complex structure, heavy weight, potential safety hazard, a new soft and wearable robotic glove was proposed. Methods The robotic glove was driven by McKibben pneumatic artificial muscles (PAMs). The tendon drive system was designed based on simulation of human hand anatomy and physiology structure, which could transmit forces and torques through the user’s own skeleton and joints. The normal hand movement could be simulated and this design pattern highly reduced the weight of the robotic glove. Meanwhile a surface electromyogrphy (sEMG) collecting circuit was developed to acquire sEMG signals from the forearm. User intent could be detected by measuring the sEMG of flexor digitorum superficialis and extensor digitorum communis on the forearm. Results The results of the experiment investigation on characteristics of the soft robotic glove showed that the robotic glove could effectively assist people completing daily activities and grasping daily necessities. The feasibility and scientificity of the robotic glove was validated. Conclusions The soft and wearable robotic glove has an advantage of light weight, easy operation and high comfortableness, and it can provide references for the study and design of similar hand rehabilitation devices.