# Sports Performance Analysis of Wheelchair Basketball Players Considering Functional Classification
## 1 Introduction  
In the field of sports, the rise of big data and the analysis of players' sporting performance has increased the possibilities of the coaching staff to analyze and identify theweaknesses and strengths of players during the game, as well as to predict and improve sporting performance [1]. For this purpose, inertial devices (ID) have been used as a tool for the kinematic analysis of players to quantify the external load (EL) of players from different sports [2]. The EL is defined as the mechanical and/or locomotor movements aimed for the development of an activity, which are considered typical of a sports modality [3]. These can be quantified and measured through different kinematic variables such as speed, distance, accelerations (acc), and decelerations (dec) [4], or neuromuscular variables such as impacts, player load, or jumps [5]. This data monitoring allows for coaches to modify and structure training sessions based on variables such as volume or intensity to enhance performance and reduce the risk of injury [6]. To this end, strengthening sessions should be carried out to improve the assimilation of training loads, as well as to establish work thresholds for athletes [7]. IDs have been used in team and individual sports as a tool for the quantification and analysis of the internal load (IL) to which players are subjected [8]. IL is understood as the physiological response produced in players during physical activity, characterized by heart rate (HR) variability [9; 10]. This tool is characterized by its high functionality and the information it collects to analyze the performance of professional players [11]. The analysis of players' IL through HR measurement provides insight into players' thresholds, allowing a more accurate assessment of physical fitness, training adaptations, and injury prevention [12]. This information allows for the coach and trainers to gain knowledge about the physical condition of players in real time [13]. Therefore, coaches must make decisions regarding task design and planning to produce improvements in players' fitness by developing tasks focused on performance enhancement [14]. In the same way, some biomechanical variables (eccentric utilization ratio, force-velocity relationship, reactive strength index, and bilateral deficit) must be used to analyze and optimize sports performance because they allow a complex and wide evaluation of the athlete's physical fitness [15]. Currently, IDs are used in various sports modalities to quantify and analyze the performance of athletes. This tool has been used in football to identify whether training intensity is up to competition standard in women's football, resulting in higher values of intensity in competition and volume in training [16]. Using developing tasks focused on Small Sided Games, greater neuromuscular activity is developed in those tasks with the presence of a goalkeeper [4]; in addition, the use of increasing playing field allows the development of greater speed values [17]. Due to its multidisciplinary nature, studies have been developed in different disciplines such as basketball [18], handball [19], and even parachute jumping [20]. On the contrary, few studies use IDs in sports for people with disabilities to analyze athletes' EL and IL. This tool has been used in seven-a-side football for people with cerebral palsy to investigate the motor performance of players considering functional classification (FC) [21]. The FC is a score given to athletes with disabilities according to their motor limitations based on trunk movement and technical skills (bouncing, turning, or throwing) [22]. In wheelchair basketball (WB), this rating ranges from 1.0 to 4.5, with players with higher functional ability having a higher score [23]. WB is a team invasion sport in which the FC of the players influences their performance [24; 22], where players with a higher FC (4.0) have higher values in kinematics (speed, distance, or acc) variables [25].