| IoT driven smart patient rehabilitation equipment for personalized therapy with ML for individuals recuperating from traumas, has machine learning algorithms to monitor patient progress and dynamically change rehabilitation regimens to ensure optimal recovery | |
| 2025-04-01 | |
| 专利权人 | APARNA K (APAR-Individual) ; BHUKYA S (BHUK-Individual) ; PRASAD S (PRAS-Individual) ; REDDY V G (REDD-Individual) ; BHAVYA L (BHAV-Individual) ; MADHUSUDANAMMA C (MADH-Individual) ; JADHAV H (JADH-Individual) ; NAVYA C (NAVY-Individual) ; KANTH M V (KANT-Individual) |
| 申请日期 | 2025-04-01 |
| 专利号 | IN202541032257-A |
| 成果简介 | NOVELTY - The rehabilitation equipment has the machine learning algorithms to monitor patient progress and dynamically change rehabilitation regimens to ensure optimal recovery. The sensors consist of electromyography (EMG) sensors for monitoring muscle activity, accelerometers and gyroscopes for analyzing movement, heart rate monitors, and maybe other sensors such as temperature or pressure sensors. The gathered data is promptly analyzed by a high-performance microcontroller, such as the Particle Boron which has the processing capability to manage the fusion of sensor data and do preliminary analysis. USE - Internet of Things (IoT) driven smart patient rehabilitation equipment for personalized therapy with Machine Learning (ML) for individuals recuperating from traumas, neurological problems, or post-surgical complications. ADVANTAGE - The method enables improving efficiency, customization, and supervision of rehabilitation treatment by gathering and analyzing real-time data and using adaptive response mechanisms, thus improving treatment efficiency, patient involvement, and clinical decision-making by allowing for personalized therapy sessions, remote monitoring, and automated progress tracking, and hence improving recovery outcomes and decreasing hospital stays, and making rehabilitation more accessible and affordable. DESCRIPTION OF DRAWING(S) - The drawing shows a block diagram of the IoT driven smart patient rehabilitation equipment. |
| IPC 分类号 | A61B-005/00 ; A61B-005/024 ; A61B-005/0245 ; A61H-001/02 ; G16H-020/30 |
| 国家 | 印度 |
| 专业领域 | 信息技术 |
| 语种 | 英语 |
| 成果类型 | 专利 |
| 文献类型 | 科技成果 |
| 条目标识符 | http://119.78.100.226:8889/handle/3KE4DYBR/13267 |
| 专题 | 中国科学院新疆生态与地理研究所 |
| 作者单位 | 1.APARNA K (APAR-Individual) 2.BHUKYA S (BHUK-Individual) 3.PRASAD S (PRAS-Individual) 4.REDDY V G (REDD-Individual) 5.BHAVYA L (BHAV-Individual) 6.MADHUSUDANAMMA C (MADH-Individual) 7.JADHAV H (JADH-Individual) 8.NAVYA C (NAVY-Individual) 9.KANTH M V (KANT-Individual) |
| 推荐引用方式 GB/T 7714 | APARNA K,BHUKYA S,PRASAD S,et al. IoT driven smart patient rehabilitation equipment for personalized therapy with ML for individuals recuperating from traumas, has machine learning algorithms to monitor patient progress and dynamically change rehabilitation regimens to ensure optimal recovery. IN202541032257-A[P]. 2025. |
| 条目包含的文件 | 条目无相关文件。 | |||||
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论