In accordance with the bulky volume and not easy to carry of pain detection equipment limitations, designs a kind of portable high-precision dolorimeter based on STM32. Using the high precision pressure sensor pressure contact as the main body to make the pressure pain signals. Through the signal preprocess of the amplifying circuit and the filter circuit, to eliminate the system noise effectively. Use the TFT-LCD to display the real-time measured pressure value, and establish a pressure pain threshold of the object. The USB interface transmits the data to PC to store, and it's beneficial to the diagnosis and treatment of subsequent.
Equipment Design ; Humans ; Pain Measurement ; instrumentation ; Pressure ; Signal Processing, Computer-Assisted ; instrumentation

Objective:To investigate the self-measured health status of college students in Tibet, and to construct the self-measured health scale (SRHMS V1.0) norm of College students in Tibet.Methods:This was a cross-sectional study. A multistage stratified sampling method was used. From April to June 2022, a total of 7 990 college students were selected from all colleges and universities in the Tibet Autonomous Region (7 in total). The self-rated health of Tibetan college students was investigated and evaluated by combining demographic information and SRHMS V1.0. Descriptive statistics, t-test, analysis of variance ( Brown-Forsythe test for unequal variance, LSD test for multiple comparisons), and Spearman correlation analysis were used to construct mean norm, percentile norm, and delimitation norm of physiological scale health (PSH), mental scale health (MSH), social scale health (SSH) score and total scale health (TSH) scores. Results:The total score of self-assessed health assessment among college students in Tibetan universities was (72.18±12.35). For different genders, the PSH, MSH, SSH and TSH scores were (73.85±13.78), (65.80±14.73), (69.85±16.00) and (73.44±12.77) for boys and (71.18±13.36), (62.81±14.03), (68.57±14.90) and (70.92±11.94) for girls, respectively. Scores on each subscale and total scale were statistically significant different between the different sexes ( t=2.531, 2.672, 1.867, 2.623, all P<0.05). For different grades, the PSH, MSH, SSH and TSH scores of the freshman were (73.36±13.23), (65.77±14.58), (70.98±15.60) and (73.51±11.91); the sophomore were (70.74±13.73), (62.40±13.60), (66.92±14.62) and (70.16±12.28), the junior were (75.48±13.09), (64.08±15.12), (71.90±15.12) and (74.10±12.36); and the senior were (67.21±14.41), (59.19±17.67), (64.91±18.59) and (66.94±14.59) respectively, with the differences in scores of each subscale and the total scale in different grades being statistically significant ( F=3.952, 3.611, 4.841, 5.583, all P<0.05). The mean norm, percentile norm and demarcation norm of the total score and each subscale of self-measured health of college students in Tibetan universities were constructed with gender and grade as the cut-off values. Conclusion:The model of self-measured health assessment scale for students in colleges and universities in Tibet is established, which can provide evaluation criteria for evaluating the health status of college students in Tibet and plateau areas.