# Wearable Sensors for Vital Signs Measurement: A Survey
## 3 Intelligent Prospect of Wearable Medical Sensors
### Intelligent Prospective Applications of Wearable Medical Sensors
#### 3.2.3 Prospects of Intelligence-Assisted Rehabilitation of Wearable Medical Sensors  
In addition, most traditional medical sensor rehabilitation devices are large in size, immobile, limited to a single training mode, and boring in terms of environment. The  
Figure 5: New-material medical-sensor-robot system model frame diagram. wearable lower-extremity exoskeleton rehabilitation robot is a cross-integrated discipline of mechanics, electronics, human-computer interaction, and bionics. It is worn on the patient's limbs, and by detecting the wearer's movement intention, it assists and protects the intelligent and mechanized rehabilitation equipment for rehabilitation training. Numerous research scholars in related fields have conducted research on medical sensor systems for rehabilitation assistance. [PERSON] et al. (2016) used big data analysis technology to analyze the medical and health systems, and improved user experience through 3D stereo virtual reality glasses and immersive head-mounted displays, and at the same time used voice interactive games to provide patients with rehabilitation assistance [73]. [PERSON] et al. (2017) designed, developed, repeatedly evaluated, and optimized an auxiliary training tool for the rehabilitation of dysphonia, based on actual clinical needs. This auxiliary tool can collect relevant data from patients through medical sensors, and at the same time play games and conduct voice training under the guidance of clinical therapists, without interference, or allow patients to independently perform rehabilitation training at home [74]. In order to be able to help people in the process of rehabilitation, [PERSON] et al. (2019) conducted research into current assistive technology combined with sensors that obtain biological signals from the body. They discovered sensor fusion for detecting hand movement, sensor fusion for exoskeleton control applications, and sensor fusion for serious games for hand rehabilitation. Moreover, through rehabilitation testing of the user's limb strength and the user's limb position, it was found that in hand rehabilitation exercises, flexion, extension, pronation, supination, strength grasping, radial/inversion, open hand, single-finger contraction, multi-finger contraction, pinching and holding hands and other movements can achieve the purpose of rehabilitation [75]. [PERSON] et al. (2020) introduced the latest developments in sensors and systems for rehabilitation and health monitoring, and focused on the implementation of sensors and biomedical applications. This research found that a healthcare sensor can achieve family medical assistance and continuous health monitoring, and can be used as a body rehabilitation system and sensor, and auxiliary system [76]. [PERSON] et al. (2020) evaluated the safety and feasibility of a new type of rehabilitation robotic device for assisting patients with complete injury of lower limbs after spinal cord injury (SCI). Through randomized controlled trials with patients with spinal cord injury and complete motor paralysis, it was found that the use of a new robotic exoskeleton plan provided potential and meaningful improvements in the mobility of patients with SCI, and there were almost no adverse events [77]. [PERSON] et al. (2021) combined the Internet of Things, machine learning, multi-modal sensors and smart system technologies to design a smart phone-based smart system to help stroke survivors improve upper limb rehabilitation. The experimental results showed that the proposed model can evaluate rehabilitation behavior, and the classification accuracy rates of very good, good and normal were 85.7%, 66.7% and 80%, respectively. At the same time, it can help stroke survivors carry out independent remote rehabilitation training, reducing medical expenses and psychological burden [78]. [PERSON] et al. (2019) proposed a wearable sensor system for automatic, continuous, and ubiquitous analysis of Freezing of Gait (FOG) in patients affected by [PERSON]'s disease.